The role

Nebius is looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. You’re welcome to work in our office in Tel Aviv.

The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.

Your responsibilities will include: 

• Own end-to-end analytics for core operational processes.
• Define, build, and maintain company-level operational and business health KPIs.
• Translate ambiguous, cross-functional business questions into structured analytical frameworks.
• Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
• Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
• Connect data across systems and explain upstream and downstream business impact.
• Independently identify high-impact problems worth solving, not only respond to requests.
• Drive cross-functional analytical initiatives at a company-wide level.
• Present insights, trade-offs, and recommendations to senior leadership.
• Synthesize complex findings into concise executive-level narratives.
• Influence decisions and drive measurable impact based on data.
• Act as a central analytical partner across multiple business domains.
• Lead initiatives and move stakeholders forward without direct authority.

We expect you to have: 

• Experience as a Data Analyst, Business Analyst, or similar analytical role.
• 5+ years of experience in data or business analytics within operational or financial domains.
• Expert-level SQL skills, including complex joins, CTEs, window functions, and performance optimization.
• Experience working with ERP or operational systems data.
• Experience operating at both high-level strategic view and deep hands-on analytical execution.
• Experience leading cross-functional initiatives and influencing stakeholders without direct authority.
• Experience operating at a company-wide level, not only within a single function.
• Demonstrated ability to deliver measurable business impact such as cost reduction, efficiency gains, process improvements, or revenue optimization.
• Strong executive-level presentation and communication skills.
• Demonstrated ability to challenge assumptions and influence senior stakeholders using data.
• High ownership, independence, and strong execution mindset.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience with NetSuite or similar ERP systems.
• Experience with operational workflow or spend management tools.
• Experience with BI tools such as Looker, Tableau, or Power BI.
• Experience partnering with Finance or FP&A teams.
• Background in operational efficiency or cost optimization initiatives.

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

As a Data Engineer, you will provide data-driven decision making support for Riskifieds' merchants. You will deliver an improved understanding of the merchants metrics and improve Riskified service and customer satisfaction.

You’ll work closely with various teams, including Analytics & Research, Finance, Account Management, and Product Management.

What You'll Be Doing

• Work with various teams to define key metrics (KPIs) and provide the methodologies to accurately measure Riskified’s performance
• Create new ETL processes and optimize existing ones
• Create smart, innovative and effective visualization methods, and promote engagement and implementation of them

Qualifications

• Bachelor’s Degree in Science/Data Systems Management/Industrial Engineering and Management
• 3+ years of experience as a Data Engineer – must
• Experience with SQL - must
• Experience with BI tools such as Tableau, Looker or similar - must
• Knowledge in data modeling and DWH design - must
• Experience in developing ETL processes - must
• Experience with business requirements gathering - must
• Experience with scripting languages - an advantage
• Good comprehension of data, and how to tell the story behind it

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here! 

Some of our Tel Aviv Benefits & Perks:

• Equity for all employees, Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag! 

In the News

Geektime: Riskified Goes Public

Walla!: Happy Hour at the Riskified Offices

Geektime Insider: A look at Riskified Tel Aviv

Globes: Riskified to contribute the highest amount up to date to Tmura

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

Role summary:

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in Payoneer. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.

This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.

He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.

Hybrid 

Full-time



What you’ll do: 

• Lead and manage the entire data platform, including:
• Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
• Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
• BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
• Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
• Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
• Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
• Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
• Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
• Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
• Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
• Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem.

Who you are? 

• Extensive Experience: 15+ years of progressive experience in the software industry, with a significant portion in data engineering, data platform design, and leadership roles.
• 5+ in senior R&D or VP-level roles, managing large cross-functional teams. Proven experience in leading and managing large engineering teams (e.g., 30-40+ engineers) and overseeing large budgets. 
• Deep Technical Expertise- 
• Profound knowledge of modern cloud data platforms such as GCP, BigQuery, Snowflake, Databricks, Redshift, and Bigtable.
• Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, Dataform, Spark).
• Strong familiarity with real-time data processing and streaming platforms (e.g., Kafka, Pub/Sub, Flink, Dataflow, Kafka Streams, Storm).
• Experience with data warehousing, data lakes, Hadoop ecosystems (e.g., Cloudera)
• Experience in BI domains tools (e.g., Looker, Tableau, Power BI)
• Familiarity with legacy ecosystem (MySQL, SSRS)
• Experience with containerization and orchestration technologies like Kubernetes and infrastructure-as-code tools like Terraform.
• Operational Excellence: Demonstrated ability to establish and improve operational excellence processes, including proactive monitoring, alerting, incident management, and data observability solutions.
• Strategic & Business Acumen: Strong business acumen and the ability to align technical decisions with strategic business goals.
• Communication & Collaboration: Excellent communication, stakeholder management, and cross-functional collaboration skills to effectively align diverse teams and stakeholders.
• Problem-Solving: Exceptional problem-solving abilities and a creative approach to technical challenges.
• Education: Bachelor of Science degree, preferably in Computer Science or a related technical field.

#LI-Hybrid
#LI-CA1

Realize your potential by joining the leading performance-driven advertising company!  

Taboola, the world’s largest content recommendation platform, is hiring a Senior Account Manager (Programmatic) for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale. 

You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.

 To thrive in this role, you'll need:

• B.A / BSc degree
• 5+ years of professional client facing experience in a B2B client-facing role in the online media / performance marketing space
• Ability to provide world-class client service while keeping a focus on growing revenues
• Strong analytical skills - proficient in working with Excel advanced functions. Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
• Love for data-driven decision making - ability to monitor, A/B test and identify trends in data to generate action items and insights
• Excited about complex analytical challenges and enjoy solving them
• Fluency in English
• You are highly motivated, super proactive and dedicated person
• You are a natural collaborator, able to work with multiple teams to reach a common goal
• You are a quick learner with great attention to details and multi-tasking capabilities

Bonus points if you have:

• Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB
• A love for the challenge of upselling and relationship building with large, international B2B organizations
• Familiarity with different AI tools and the ambition to adopt LLM based functions to improve productivity

How you’ll make an impact:

• Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
• Monitor, troubleshoot and optimize performance for different types of client integrations and activities
• Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
• Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
• Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
• Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
• Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-GG1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

Taboola, the world’s largest content recommendation platform, is hiring a Senior Programmatic Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale. 

You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.

 To thrive in this role, you'll need:

• B.A / BSc degree
• 5+ years of professional client facing experience in the Programmatic / Performance Marketing space - a must
• Ability to provide world-class client service while keeping a focus on growing revenues
• Strong analytical skills - proficient in working with Excel advanced functions. Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
• Love for data-driven decision making - ability to monitor, A/B test and identify trends in data to generate action items and insights
• Excited about complex analytical challenges and enjoy solving them
• Fluency in English
• You are highly motivated, super proactive and dedicated person
• You are a natural collaborator, able to work with multiple teams to reach a common goal
• You are a quick learner with great attention to details and multi-tasking capabilities

Bonus points if you have:

• Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB
• A love for the challenge of upselling and relationship building with large, international B2B organizations
• Familiarity with different AI tools and the ambition to adopt LLM based functions to improve productivity

How you’ll make an impact:

• Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
• Monitor, troubleshoot and optimize performance for different types of client integrations and activities
• Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
• Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
• Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
• Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
• Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-GG1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

Taboola, the world’s largest content recommendation platform, is hiring a Senior Performance Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale. 

You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.

 To thrive in this role, you'll need:

• B.A / BSc degree
• 5+ years of professional client facing experience in a B2B client-facing role in the Programmatic / Performance Marketing space - a must
• Ability to provide world-class client service while keeping a focus on growing revenues
• Strong analytical skills - proficient in working with Excel advanced functions. Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
• Love for data-driven decision making - ability to monitor, A/B test and identify trends in data to generate action items and insights
• Excited about complex analytical challenges and enjoy solving them
• Fluency in English
• You are highly motivated, super proactive and dedicated person
• You are a natural collaborator, able to work with multiple teams to reach a common goal
• You are a quick learner with great attention to details and multi-tasking capabilities

Bonus points if you have:

• Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB
• A love for the challenge of upselling and relationship building with large, international B2B organizations
• Familiarity with different AI tools and the ambition to adopt LLM based functions to improve productivity

How you’ll make an impact:

• Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
• Monitor, troubleshoot and optimize performance for different types of client integrations and activities
• Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
• Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
• Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
• Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
• Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-GG1

#LI-Hybrid

Senior User Acquisition Manager - Google Ads

The role:

• Own paid acquisition on search engines (Google, Bing) across two SaaS brands - AutoDS and Build Your Store - across trial and paid funnels, multiple geographies, 7-figure annual spend. Hands-on seat: you plan, build, optimize, measure, and report. Not an agency-management role.
• You'll inherit a deep stack of AI-assisted tooling (Claude Code, OpenAI, Gemini) sitting on top of every ad-platform and analytics API. Fluent daily use of Claude Code, ChatGPT, Cursor, or equivalent is a hard requirement - not a bonus.

You'll own:

• Google Ads end-to-end: structure, bids, RSAs, keywords, geo strategy, conversion mapping, ROAS
• Measurement integrity across GA4, Mixpanel, Impact, Tableau
• Bing/Microsoft Ads as an adjacent channel
• Daily dashboards, monthly exec reports

You are probably this person if:

• 5+ years of experience running paid search at scale, including a 7-figure Google budget
• Comfortable in Sheets with AppScript behind it, (BigQuery a plus)
• You've shipped changes via the Google Ads API, not just the UI
• You think in trial-to-paid economics, not clicks
• You've used AI agents to do real work - generating copy at scale, debugging a tracking issue, mining search terms - and can walk us through it
• working with a SaaS product

Nice to have:

• SQL
  Shopify/dropshipping ecosystem experience ·
•  Reddit/YouTube Ads · 
• GeoLift incrementality testing · 
• affiliate/SubID attribution

What We Offer

• Ownership of a high-impact, multi-brand acquisition portfolio with real budget and real accountability
• Competitive compensation package
• Flexible, hybrid work environment
• A fast-moving team where great ideas go from test to scale quickly
• The opportunity to grow alongside one of the most exciting companies in the e-commerce automation space

About Kape Technologies

Kape is a cybersecurity company dedicated to enhancing digital experiences through privacy and protection. With over 1,000 employees across 10 global locations—including the UK, Israel, Germany, Romania, France, the Philippines, the USA, Singapore, Hong Kong, and Cyprus—we are driven by one mission: to create a safer, more secure digital world.

Job Summary

As Customer Success Data Team Lead, you will lead the analytics function supporting Customer Support/Success teams at Kape. Your mission is to turn large volumes of support and customer interaction data into actionable insights that improve customer satisfaction, operational efficiency, and product feedback loops.

You will manage and mentor a team of analysts while acting as a strategic partner to Support Leadership, Product, and Engineering. This role combines hands-on analytics with stakeholder leadership to drive data-informed decisions across support operations.

Core Responsibilities

• Lead and mentor a team of analysts, driving high analytical standards and a business-focused mindset
• Analyze end-to-end customer support journeys (tickets, resolution paths, escalations, customer effort)
• Deep-dive into key metrics such as CSAT, NPS, FCR, AHT, backlog health, and churn signals
• Identify root causes of customer friction and operational inefficiencies, providing clear recommendations
• Define and maintain core support KPIs aligned with CX and business goals
• Build and maintain scalable dashboards (e.g., Tableau) for real-time performance tracking
• Partner with Data and Engineering teams to ensure high-quality, reliable datasets
• Translate insights into actionable recommendations that impact customer experience and product improvements

Core Requirements

• Proven experience working within a Customer Support / Customer Success environment (required)
• 5+ years of experience in Data Analytics, BI, or Product/Support Analytics, including 1–2 years in a leadership role
• Strong SQL skills and experience working with large datasets
• Strong analytical thinking with a business-impact mindset
• Experience with BI tools (e.g., Tableau) and dashboard design
• Experience with experimentation (A/B testing or similar) – an advantage
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Experience working cross-functionally with senior stakeholders
• Fluent in English

We are looking for a senior, hands-on Product and Business Analyst to lead analytics within one of our core B2C app pods. This is not a reporting role. You will own the analytical direction of the pod, shape product decisions, and raise the bar on experimentation, rigor, and business impact.

You will work closely with Product, R&D, Monetization, and Marketing to drive onboarding, activation, retention, and revenue growth. The right candidate combines strong statistical depth with sharp business judgment and the ability to influence non-analytical stakeholders.

What You Will Own

Pod Performance Leadership

• Own core product KPIs across onboarding, activation, engagement, retention, and monetization
• Build and maintain a clear funnel view with defined breakpoints and drivers
• Proactively identify risks and growth opportunities, not just respond to requests
• Lead weekly and monthly business reviews with clear narratives and recommendations

Experimentation Excellence

• Lead end-to-end A B testing lifecycle: hypothesis design, sizing, guardrails, analysis, and decision framing
• Apply strong statistical thinking: power analysis, bias detection, novelty effects, false positives
• Partner with PM and R&D to improve instrumentation and experiment quality
• Ensure decisions are grounded in data and clearly translated into business tradeoffs

Data and Analytics Infrastructure

• Work deeply with SQL across large datasets including DBT
• Use Python for advanced analysis and experimentation workflows
• Operate across Databricks, Redshift, AWS environments
• Leverage Mixpanel and GrowthBook for behavioral analytics and experimentation
• Build scalable Tableau assets that drive self-serve and reduce ad hoc noise
• Define data quality standards in collaboration with Data Engineering

Stakeholder Influence and Cadence

• Translate complex analyses into simple, actionable stories
• Challenge vague assumptions and push for clarity in success metrics
• Create structure and consistency in how the pod uses data
• Raise the analytical standards across the team

Requirements

• 5+ years of experience in product or growth analytics in B2C, preferably mobile apps
• Deep experience with onboarding, activation, retention, churn, and LTV analysis
• Proven track record leading A B tests and influencing product decisions
• Strong SQL skills and high data intuition
• Experience with Python for analysis
• Experience working with experimentation platforms and behavioral analytics tools
• Ability to communicate clearly with senior stakeholders and cross-functional teams
• Independent, opinionated, and comfortable owning ambiguous problem spaces

Nice to Have

• Experience with monetization models: paywalls, pricing experiments, lifecycle incentives
• Experience building KPI monitoring and alerting frameworks
• Experience driving self-serve analytics adoption within product teams
• Exposure to applying AI or advanced modeling techniques to improve experimentation, personalization, or decision automation
• Experience with marketing analytics, including campaign performance analysis, attribution logic, channel efficiency, cohort quality, and translating acquisition data into retention and LTV insights

Who You Are

You think like a product owner but operate like an analyst.
You care about statistical rigor but know that speed matters.
You do not hide behind dashboards. You form opinions, challenge assumptions, and help the team decide what to do next.
You are comfortable being the analytical anchor of a pod and setting the standard for how decisions are made.

If you are excited about shaping product direction through data and leading analytics at a strategic level within a fast-moving B2C environment, we would love to meet you!

Similarweb is the leading digital intelligence platform used by over 4000 global customers. Our wide range of solutions is used throughout companies ranging from Fortune 5 through SMB.

We help our customers succeed in today’s digital world through data-focused insights that drive competitive benchmarks, strategic analysis, sales processes, investments, and more.  

In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!

We are looking for an FP&A Business Partner to join the FP&A team, as part of the Finance group.

As a FP&A Business Partner, you will work with key stakeholders in the organization to build and maintain a budget and forecast for one of our Divisions and to support Divisional and Finance leaders with analytical tools for decision making. This role provides a high level of exposure to the organization's Leadership. An ideal candidate will be comfortable navigating such a high-growth, entrepreneurial environment independently.

In your day-to-day as FP&A Business Partner at Similarweb, you will:

• Build and develop financial budgeting, forecasting, reporting, and operational metrics tracking for Company’s corporate units.
• Maintain and improve company financial and operational models, and run ad hoc analysis in various areas, including income, resource allocation, and cohort-level insight.
• Deliver insight regarding business metrics, including comparison to prior periods, highlighting key variances / trends and providing high-level commentary for use by management.
• Enable data-driven decisioning by working closely as an "analytical arm" to department heads, building business cases that shape key strategies.
• Proactively identify and analyze opportunities to drive business improvements and share actionable insights with management.

What will you bring to the team:

We are looking for someone who is excited to work in a high-growth SaaS company and be a key player in the decision making process, including go-to-market strategies, financing, and resource allocation. In order to be successful in this role, you've excelled at the following:

• Multi-data-source financial modeling.
• Advanced understanding of Excel (Power Query is an advantage).
• Excellent interpersonal skills and ability to create and maintain relationships with key stakeholders.
• Translating quantitative measurements into operational understanding.
• Thriving in a fast-paced environment and prioritizing deliverables.

The ideal candidate should have:

• B.A. or B.Sc. in Economics/Statistics/Business. MBA or MA is a plus
• 1-3+ years of FP&A or other relevant experience
• Prior experience with Tableau, Salesforce, and Google Sheets is a plus.
• High proficiency in SQL - significant plus.
• Proven experience working closely with BI teams and building complex, data-driven financial models using multiple data sources - significant plus.
• Proven experience in creating and building automated workflows and processes for Finance / FP&A work - significant plus.
• In-depth understanding of the flow / construction of financial models and prior experience in working with company forecasts / budgets
• Ability to communicate data clearly to various company stakeholders.
• Understanding of SaaS and relevant industry metrics.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity, and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.

About the Role

We’re looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.

This isn’t a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.

What You’ll Do

• Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
• Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
• Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
• Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
• Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

What We’re Looking For

• SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
• Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
• Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
• Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
• Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
• Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.

Why You’ll Love Being a Similarwebber

• Impact: Your work will influence both product and business strategy across our global customer base.
• Growth: We foster a culture of open dialogue where big ideas are encouraged. This role offers real room to grow in scope and influence.
• Product: You’ll work with the world’s most powerful digital intelligence platform and actually love it.
• Culture: We’re inclusive, innovative, and supportive.

#LI-Onsite

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide — including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.

About the Role

We’re looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.

This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, you’ll focus on building the strong data foundations that make those insights possible. You won’t just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.

You’ll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.

What You’ll Do

• Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
• Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
• Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
• Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
• Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

What We’re Looking For

• Expert SQL Mastery: You are a SQL power-user. You enjoy solving complex logic puzzles using code and care deeply about query efficiency and data accuracy.
• The "Bridge" Mindset: You can sit in a meeting with a Product Manager to understand a business need, and then translate that into a technical data structure that serves that need.
• Logical Architecture: You have a natural talent for organizing information. You know how to build a table that is intuitive and easy for other analysts to query.
• Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy.
• Experience with Analytics Tools: Proficiency in BI tools (Looker, Tableau, etc.) and a strong understanding of how data flows from technical logs to the end-user interface.
• Degree: B.Sc. in Industrial Engineering, Information Systems, Economics, Computer Science or a related quantitative field.
• Experience: 1+ years of prior experience in a relevant analytics/technical role

Why You’ll Love Being a Similarwebber

• Impact: You are the architect of the data that drives our newest engines (Gen AI & DaaS). Your work literally powers the team's ability to innovate.
• Growth: You will work on the cutting edge of the data stack, gaining exposure to AI implementation and high-scale data logic.
• Collaboration: Our best work comes from face-to-face teamwork in the office, with flexibility to work part-time from home.
• Culture: We’re inclusive, innovative, and supportive. We foster open dialogue and encourage big ideas.
• Perks: Competitive compensation, strong emphasis on well-being, and plenty of opportunities for team bonding.

Marketing Analyst - Temporary for 10 months 

Who Connecteam is:

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.

We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.

Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.

Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About the role

Connecteam is looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.

Key Responsibilities

• The role is focused on the marketing domain, working closely with growth, performance marketing, and user acquisition teams.
• You will analyze marketing funnels, campaign performance, and attribution models to optimize ROI and drive scalable growth.
• This position requires a strong understanding of marketing metrics (CAC, LTV, conversion rates) and the ability to translate data into actionable marketing insights.
• Build Specialization-specific operational dashboards. 
• Develop an analytics framework in collaboration with business process improvement and operations management.
• Quarterly planning and roadmapping in collaboration with operations management and product team.
• Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
• Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

Experience & Skills

• 4+ years as a Data Analyst in a fast-paced web/online company and working with large data sets
• Hands-on experience with SQL. 
• Expert in creating dashboards/data visualizations (Looker, Metabase, Tableau, etc.)
• Proven experience in business/product data analytics.

Advantages:

• Experience with DBT
• Statistics familiarity or background
• Experience in Python

Role summary: 

We're looking for a skilled BI Developer to design and maintain our data layer. In this role, you'll translate complex business needs into powerful, actionable insights, collaborating with various teams to deliver solutions that drive informed decision-making. If you're a proactive problem-solver with a passion for leveraging big data technologies, this is a great opportunity to make a real impact in a dynamic, data-rich environment. 

What you’ll do:  

• Design, develop, and deploy end-to-end BI and analytics solutions in the Google Cloud environment, primarily using BigQuery, dbt, and Looker, across the full lifecycle: data transformation, modeling, testing, and production deployment.
• Translate business requirements into technical specifications, including defining data models, establishing relationships between data entities, and incorporating business logic into the analytical layer.
• Provide ongoing BI support to the Finance department, including preparation of monthly reports, ad hoc analyses, and compliance with regulatory requirements.
• Develop and maintain data pipelines to support BI solutions.

Who you are?  

• 5+ years of experience as a BI Developer, with expert-level proficiency in SQL.
• Hands-on experience with a major BI reporting tool such as Looker, Tableau, or other analytical tools.
• Strong experience designing and building data pipelines / ELT workflows, ideally in modern cloud data environments.
• Proven ability to independently lead complex technical tasks, collaborate with other developers, and drive delivery from data sources and transformation through semantic modeling and final reporting.
• Proven ability to translate complex BI requirements into manageable technical tasks, spanning the process from data sourcing to final report.
• Demonstrated experience in designing and developing detailed reports.
• An open-minded, inquisitive, and enthusiastic learner with a readiness to embrace modern technologies and adapt to new challenges.
• Advanced analytical capabilities, effective multitasking skills, and a strong aptitude for creative problem-solving.

#LI-Hybrid 
#LI-CA1

About the team:

Join a global data team focused on delivering impactful insights and driving strategic initiatives across Fireblocks. As a Senior Product Analyst, you’ll play a key role in shaping data-informed decisions by applying your expertise in data modeling, analysis, and effective communication. This is an opportunity to contribute meaningfully in a high-growth, fast-paced environment, where you'll manage multiple initiatives and collaborate closely with analysts, product teams, and business stakeholders while working with advanced technologies, including AI-driven tools and systems.

What you’ll do:

• Partner with stakeholders to define clear KPIs that reflect both product health and performance as well as company goals.
• Translate business needs into actionable analytical solutions through close collaboration with cross-functional teams. 
• Work with Data Engineers and AI specialists to build scalable, consistent data models that enable deeper insights, including applications such as ranking systems, customer segmentation, and agent-driven automation. 
• Perform thorough data analysis to uncover trends, inform strategy, and deliver recommendations that enhance growth, customer experience, and operational efficiency. 
• Present insights in a clear and professional manner to support decision-making across the organization.
  
  

What you’ll bring:

• 5+ years of experience in product analytics, ideally within a product company, with the ability to independently lead end-to-end analytical initiatives.
• Strong analytical and problem-solving skills, including statistical methods, predictive modeling, and high attention to detail.
• Proven ability to build scalable data models and work cross-functionally, supporting business units with data-driven insights, including the use of AI-driven tools.
• Excellent communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders.
• Experience with data visualization and reporting tools (Tableau -advantage).
• Background in fintech or financial services -advantage.
• Self-driven, proactive, and collaborative, with the ability to work independently as part of a global team.

• Influence change by presenting product and customer data-driven insights to product management and senior leadership; confidently present the outcome of your analysis and make recommendations to executives and team leaders.
• Be the right hand of product and business leaders in building business cases for new product functionality, and tracking the effectiveness of the functionality over time; monitor key metrics, identify business trends and generate forecasts.
• Lead deep-dive analysis that will frame product strategy and product roadmap decisions.
• Foster our data-centric, continuous learning culture with your passion for telling stories with data; grow our best practices around reporting quality, data hygiene, and data governance.
• Own the design, development, and maintenance of ongoing dashboards and their underlying data sets.
• Work collaboratively with product managers and engineers to ensure the right data is generated and collected.

• 5+ years of demonstrated experience working as a data or product analyst, preferably at a growing tech company.
• Degree in Industrial Engineering, Statistics, Economics or another quantitative field
• Confirmed ability to surface key insights that subsequently drove business changes with measurable lift in performance.
• Fluency in common statistical analysis methods; and specifically, the ability to quickly separate data from noise.
• Proficiency using SQL and Excel for data querying and manipulation; comfortable using additional data access and analysis tools.
• Experience with product analytics methodologies.
• Passionate about producing high-quality accurate analytics deliverables.
• Ideally, you are experienced in creating and maintaining dashboards using data visualization tools such as Tableau, Looker, or similar.
• Self-motivation, proactively going beyond the call of duty.
• Creativity and strategic thinking.
• The ability to work comfortably in a constantly evolving environment.

#LI-RO1

We are looking for a Product Analytics Team Lead, a strategic leader who lives at the intersection of data integrity and people development, dedicated to transforming raw metrics into a sophisticated analytical engine. 

In this role, you will act as the guardian of our analytical standards while remaining deeply immersed in the data, ensuring our insights are as precise as they are influential.

You’ll Own:

• The Quality Bar: Defining, implementing, and continuously improving standards, methodologies, and best practices for product analytics.
• Team Growth & Mentorship: Leading, mentoring, and growing a team of product analysts through hands-on coaching and career development.
• Analytics Procedures: Creating and maintaining procedures that ensure data consistency, accuracy, and business relevance.
• Hands-on Execution: Personally leading complex analyses, exploratory investigations, and high-impact deep dives.

You’ll Solve:

• Data Consistency & Accuracy: Fixing gaps in analytics procedures to ensure every insight is reliable and actionable.
• Data Modeling Challenges: Working with engineers and product managers to ensure the right data is generated, collected, and modeled correctly.
• Analytical Complexity: Tackling high-impact deep dives and investigations that require a hands-on, expert approach.

You’ll Impact:

• Data-Driven Decision Making: Ensuring product analytics are business-relevant and lead to clear, actionable outcomes.
• Organizational Excellence: Elevating the team's performance by setting high standards for quality and professional growth.
• Product Strategy Alignment: Bridging the gap between engineering, product, and analytics to build a robust data foundation.

How You’ll Succeed Here:

• 6+ years of experience working in data or product analytics, preferably at a growing tech company.
• Out of which, 2+ years of experience in a managerial or team lead role, managing analysts or similar roles.
• Degree in Industrial Engineering, Statistics, Economics, or another quantitative field.
• Proficiency in SQL and Excel; comfort with additional analytics tools.
• Experience with product analytics methodologies.
• Strong coaching and feedback skills, with a track record of developing people.
• A mindset focused on scaling impact, not just individual contribution.
• Excellent communication skills, with confidence presenting to senior stakeholders.
• Proven ability to surface insights that drove measurable business impact.
• Experience building dashboards using tools such as Tableau, Looker, or similar.
• Ability to balance hands-on analysis with leadership and process ownership.
• Creativity, strategic thinking, and comfort operating in a fast-changing environment.

What makes the Product Analytics department at Gong unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions and build the best products that create radical impact. We call it “Own. Solve. Impact.”

Our decision-making process at Gong is based on data and not on hunches. Therefore you’ll get an opportunity to play a major part in the company's product strategy and operations and to analyze complex, non-trivial data generated in a fast-moving product, which tens of thousands of users use daily or weekly.

If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

About Us

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a work place, we'd love to see you with us.

To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.

#LI-RO1

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. 
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. 
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. 
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. 
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. 
• Own and operate production data workflows, resolving incidents and ensuring reliability. 
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL 
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena 
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt 
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform 
• Streaming: Kafka, Kinesis 
• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

We are looking for a Business Analyst to join our GTM team. You’ll play a pivotal role in empowering our Go-to-Market teams with data-driven insights that fuel growth, efficiency, and innovation.

Our Technologies: SQL, Tableau, DBT, G-Sheet, Salesforce

Why Join Us:

• Make a direct impact by shaping how we define and measure success across the GTM organization
• Support the company’s growth and profitability goals by playing a key role in transforming financial data into actionable insights
• Collaborate cross-functionally with smart, passionate teams in a data-centric and supportive environment
• Work directly with senior leadership, providing clear, actionable insights to drive their business units forward.
  Operate with significant autonomy and a clear mandate to transform our analytics and elevate performance across multiple core domains
•  

You’ll be:

• Defining KPIs and measuring them for the GTM different groups (Marketing, Sales, and Partners) to track performance and drive strategic initiatives
• Building reports, dashboards, and metrics to deliver actionable insights
• Serving as an analytics focal point, working closely with a wide range of cross-functional teams
• Identifying and automating manual or repetitive processes to improve accuracy, efficiency, and scalability across analytics workflows

 Your experience:

• Strong analytical skills with the ability to turn data into strategic insights
• Experience with BI tools such as Tableau, Looker, or Power BI (we use Tableau)
• Proficiency in SQL
• Excellent communication and cross-functional collaboration skills
• High level of independence and self-motivation
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities
• Minimum of 4+ years of experience as a Business/Data Analyst or similar role
• BA/BSc in Industrial Engineering, Information Systems, Economics, Statistics, Mathematics, or a related field

Nice to Have:

• Experience with Salesforce
• Experience in modeling data tables and building scalable data models
• Experience with NetSuite

At Yotpo, we believe in hiring people who are passionate about their craft. If you’re excited about this role and ready to dive into meaningful work, we’d love to hear from you.

Our team is growing! If you thrive in a fast-paced environment and have a passion for data-driven HR practices and innovative compensation programs, we want you on our team!

Our team is composed of brilliant minds who are not afraid to challenge the status quo. We believe in fostering a culture of creativity, collaboration, and continuous improvement.

We are seeking a Compensation & Benefits and People Analytics Specialist to join our HR team and play a key role in shaping the future of our organization. In this newly created position, you will combine hands-on compensation and benefits expertise with people analytics capabilities to support data-informed decision-making, optimize our total rewards offerings, and help attract, retain, and motivate top talent in the tech industr

Responsibilities

Compensation & Benefits

• Support the annual salary and equity budgeting and review processes, collaborating with HR and leadership to streamline and enhance impact.
• Research and analyze market benchmarking data to ensure our compensation packages remain competitive, attractive, and compliant with regulatory requirements.
• Partner with HR and leadership to develop and communicate total rewards packages to employees.
• Manage communication and collaboration with the payroll department to ensure seamless processing of compensation-related transactions.
• Stay informed on industry best practices and regulatory changes in compensation and benefits.

People Analytics

• Build and maintain HR dashboards and reports to provide actionable insights on workforce trends, including headcount, turnover, retention, engagement, and compensation metrics.
• Use analytics to identify trends in compensation, analyze costs and benefits, and deliver insights with clear action plans to stakeholders.
• Support HR and leadership with data modeling and scenario analysis to inform strategic people decisions.
• Ensure data integrity and consistency across HR systems and reporting tools.

Qualifications

• 3+ years of experience in compensation and benefits, people analytics, or a related HR analytics role, preferably in a tech or high-growth environment.
• Solid knowledge of compensation principles, market trends, and regulatory requirements.
• Strong analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Advanced proficiency in Excel and experience with data visualization tools (e.g., Power BI, Tableau) or HRIS reporting.
• Excellent communication and interpersonal skills, with the ability to collaborate across all levels of the organization.
• Bachelor's degree in HR, Business, Economics, Statistics, or a related field; relevant certifications (e.g., CCP, CEBS) are a plus.

A Product Analyst at Torq plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.

What You Will Do:

• Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
• Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
• Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
• A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
• Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
• Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
• Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.
  
  

The Ideal Candidate:

• Strong communication skills to present insights clearly.
• BSc/BA in Industrial Engineering, Economics, Statistics, Business Management, or a related field.
• 4+ years in an analytical role, ideally in a SaaS or cybersecurity company.
• Proficient in SQL (complex joins, window functions).
• Strong Excel and BI tool experience (Tableau, Looker, Power BI).
• Familiarity with A/B testing, user analysis, and KPI development.
• Bonus: Experience with Amplitude, or Salesforce, and understanding of data modeling/ETL processes.

If your experience is close but doesn’t fulfill all requirements, please apply! Torq is building an outstanding company. To achieve our goals, we are focused on hiring great people with different backgrounds, perspectives, and experiences.

As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By submitting your application, you acknowledge that Torq will process your personal data in accordance with Torq’s Privacy Policy.

#LI-Hybrid 

As a Data Analyst at Melio you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep Melio a data driven company. You will play a key role in the ability of each team at Melio to keep scaling!

Minimum qualifications to apply for this role:

• 5+ years of experience as a Data Analyst
• SQL at a high level is mandatory
• An ability to understand complex ideas and simplify them to relevant stakeholders.
• Team player, effective interpersonal skills and good vibes. Manage relationships with key partners across different functions, ability to work independently
• Experience in fast-paced, high-intensity work environment
• Experience in BI tools such as Tableau, Redash or similar
• Experience in data modeling and data warehousing 

Preferred qualifications (If you have those, we see it as advantage, but it's not a must)

• Experience in Python
• B.S in one of the following: Industrial Engineering, Statistics, Mathematics, Economics, or a related field.

How your day is going to look, what you will be doing? 

- Helping each team to take decisions based on data by:

• Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
• Define and implement KPIs across different teams
• Accompany product features from tech design to feature performance
• Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

About Melio: 

Melio builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft. As the fastest-growing B2B payment platform in the US, Melio is working hard to find new and better ways to help small businesses succeed in the ways that work best for them.

With offices in New York, Denver, and Tel Aviv, and a vibrant work culture, Melio is expanding every single day. We are a diverse group of people who love what we do and do what we love. If you are a driven and passionate team player, you will fit right in. We are an equal-opportunity employer and are always on the lookout for top-notch talent—please reach out if you would like to join us on this exciting journey!

About the hiring department:

The Data department at Melio collaborates with colleagues from various disciplines—Research Engineers, Analysts, and other Data Scientists—on statistical methods and machine learning techniques (both supervised and unsupervised) in order to develop classification and anomaly detection algorithms. 

We're the ones making sure the company is meeting its goals by extracting valuable insights from highly complex data. We ask the right questions and find the right answers all in a fast-paced, results, marketing and data-oriented environment. 

As part of a data team within a fintech company, you’ll have a unique opportunity to make a real impact on Melio, its product, our users and help the company scale

#LI-TG1

HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.

Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and have a growth mindset. We know experience comes in many forms, some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually-charged environment and have similar experience to what we are looking for, we encourage you to apply.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company. 

 Here are a few of the things you will do:

• Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
• Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
• Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
• Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
• Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
• Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
• Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
• Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
• Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

Interested? Here's what we're looking for:

• 3+ years of experience in data analytics roles with expert SQL skills and data visualization tools - Looker, Tableau, PBI, Omni, etc.
• 2+ years of experience working in the marketing data analytics field.
• Proven track record collaborating with teams to leverage data-driven insights to improve performance.
• You have a bias towards action; you don’t wait for someone to tell you what to do and are comfortable working with ambiguity.
• You don’t stop once you pull the data; you love turning numbers into actionable insights.
• You’re a strong communicator and have an art for communicating complex findings in a simple way.
• Your thinking is structured, and you have excellent intuition for numbers and data.
• And most importantly, you believe in HoneyBook’s mission and know how you will contribute to our success.

The good stuff:

• Mission-driven: You'll be joining more than just another startup - our members are at the heart of everything we do.
• Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!
• Compensation: We offer a competitive salary + meaningful equity based on merit.
• Benefits + Perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees is foremost.

Our core values:

• People come first - As we explore opportunities and work through challenges.
• Raise the bar - We push for greatness - for ourselves and our members.
• Own it - Trust and ownership let us make decisions with confidence.
• We love what we do - And what we create for our members.
• Keep it real - Authenticity, respect and transparency are at our core.

The opportunity at HoneyBook is huge – our primary customers today are creative businesses that generate in aggregate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures and 01 Advisors.

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