Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance. 

This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment. 

Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility)

Key Responsibilities 

Data Engineering & ETL 

• Lead the design and development of scalable ETL pipelines across platforms such as Snowflake/Hive, Athena 

• Partner with cross-functional teams to optimize data architecture and workflows 

Machine Learning & AI Development 

• Design, develop, evaluate, and deploy ML/AI models in production environments 

• Build scalable ML pipelines for training, validation, deployment, and scoring 

• Develop advanced predictive models and recommendation engines 

• Optimize model performance through experimentation, feature engineering, and ensemble techniques 

• Implement automation frameworks to improve productivity and reproducibility 

Cloud & Distributed Systems 

• Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena 

• Build and maintain robust workflows in distributed computing environments 

Analytics, Reporting & Marketing Automation 

• Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability 

• Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies 

Collaboration & Delivery 

• Work on multiple concurrent projects in a fast-paced, high-growth environment 

• Communicate complex findings clearly to both technical and non-technical stakeholders 

• Mentor junior team members and contribute to best practices across the data science function 

Required Skills:

• Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models) 

• Proven experience building and productionizing ML pipelines 

• Advanced Python proficiency and experience with ML libraries 

• Strong data preparation and feature engineering skills 

• Experience with Snowflake and distributed data systems 

• Working knowledge of Unix and shell scripting 

• Strong analytical thinking, attention to detail, and communication skills 

Qualifications: 

• MSc/MS in a quantitative field with 4+ years of experience 
  or 

• BSc with 7+ years of relevant experience 

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Opportunity Overview:

We are seeking a Director of Data & AI to join our product development team. In this role, you will lead world-class analytics, data science, and machine learning teams to enable clinical insights and precision AI. You’ll partner closely with product, design, and software engineering to drive the research and development of data-centric solutions. 

As a member of the leadership team, you’ll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You’ll have the opportunity to apply deep analytics and AI expertise to deliver products that transform healthcare. You’ll foster a culture of innovation, champion Cohere’s values and leadership principle, and guide a team of engineers, analysts, and scientists to leverage complex healthcare data and methodologies in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions. By combining modern analytic tools, methodologies, and AI technologies to meet challenging and open-ended business requests, this crucial role molds our analysis and builds data-driven analytics products. 

What you’ll do:

• Recruit and build high-caliber machine learning, data science, and business intelligence development team
• Leadership and Management:
• Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation.
• Nurture a collaborative and innovative culture within the team and throughout the organization
• Develop and implement strategic plans for the Data & AI department in alignment with the company’s goals
• Ownership and accountability of key quality and delivery metrics of the Data & AI solutions, including time to value, model accuracy, etc.
• Collaboration and Communication
• Partner with Cohere Health’s US-based Data & AI team and assure consistent technical strategy, aligned roadmaps, and value-centric delivery approaches.
• Collaborate with cross-functional product, clinical, and engineering partners to understand their needs, recommend solution approaches, and develop execution strategies
• Innovation and Delivery
• Oversee the design, development, and deployment of analytic and AI solution developments
• Identify opportunities for technological advancements, applicable technical patterns, and innovation.
• Direct an innovation pipeline from experimentations, to development, to maturation
• Provide technical guidance, managing timeline, and ensuring quality and scalability of deliverables 
• Foster a data-driven decision-making culture and prioritize responsible AI

What you’ll need:

Must-haves

• 8+ years of management experience hiring and developing data-centric development teams
• 12+ years of experience in data science and machine learning
• Advanced degree (MS or Ph.D.) in a quantitative field Math, Engineering, Computer Science, Machine Learning
• Proven success in growing and managing geographically distributed teams and fostering multi-functional collaborations
• Track record of translating complex business problems into end-to-end data analytics products with a quantifiable business impact
• Demonstrated success in maturing machine learning prototypes into scalable software
• Experience with US managed care design and operations

Nice-to-haves

• Strong preference for healthcare experience, specifically experience in Utilization Management, Payment Integrity, Risk Adjustment and Quality Measures
• Hands-on experience with large-scale healthcare administrative and clinical data
• Familiarity with healthcare body codesets, terminology and ontology
• Prior experience in B2B enterprise SaaS startup

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership.

In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights.

The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders.

What you’ll do:

• Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets.
• Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team.
• Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable.
• Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies.
• Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset.
• Define and enforce data quality standards across ingestion, transformation, and analysis workflows.
• Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team.
• Translate analytic outputs into business insights, benchmarks, and structured datasets that support product strategy, commercial enablement, and thought leadership initiatives.
• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
• Conduct code reviews and analytics methodology reviews to ensure maintainable, reproducible data workflows and high-quality analytic outputs.

What you’ll need:

Must-haves

• 7+ years of professional experience in data analytics, data science, or quantitative analysis in a production environment.
• Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib).
• Advanced SQL querying and ability to work with large datasets.
• Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets.
• Experience managing multiple concurrent analytics projects and prioritizing work across a team of analysts.
• Experience designing analytic frameworks or benchmark datasets used by business teams or external stakeholders.
• Experience managing data quality, data governance, and dataset lifecycle management.
• Experience evaluating and applying modern analytics or AI techniques (including LLM-based tools where appropriate) to enrich datasets or accelerate analytic workflows.
• Experiment and rapidly prototype design frameworks and validate hypotheses efficiently.
• Strong software engineering fundamentals including modular Python code, reusable analytic functions, and maintainable data pipelines.
• Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets.
• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

Nice-to-haves

• Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
• Thought leadership in analytics-driven market intelligence, benchmarking, or healthcare data insights.
• Experience working with healthcare claims, authorization, or utilization management data.
• Experience producing market intelligence, benchmarking studies, or industry datasets.
• Familiarity with healthcare payer workflows or healthcare analytics environments.
• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

We are looking for a talented Individual Contributor to join a cross-functional product team responsible for integrating the Order & Portfolio Management System with the broader platform ecosystem and building new O/PMS features, with a focus on seamless trade lifecycle workflows from order creation through to position synchronization, reconciliation, and post-trade processing.

What You'll Do

• Own features from concept to delivery across the trade lifecycle, producing roadmaps and feature specifications through domain deep-dives and requirements gathering for order workflows, FIX connectivity, allocation logic, and portfolio analytics.
• Articulate product value propositions drawing on knowledge of order routing, execution management, portfolio construction, and position keeping.
• Partner with engineers, architects, and platform partners to translate specs into product, bridging trading desk workflows and back-office accounting while coordinating timelines, dependencies, and deliverables across integration workstreams.
• Build comprehensive test cases covering order routing, execution, position synchronization, data mapping, exception handling, and end-to-end integration.
• Conduct competitor analysis across the OMS/PMS/EMS landscape.

What You'll Need

• 8+ years in front, middle, and/or back-office; 4+ years in product management
• 2+ years direct experience working with OMS and/or PMS platforms, covering order creation, routing, execution, allocation, and settlement.
• Familiarity with how OMS/PMS platforms interact with execution venues, prime brokers, fund administrators, and accounting engines.
• Experience collaborating with engineers in an agile environment.
• Ability to manage multiple workstreams with diligence.
• Graduate degree in software engineering, finance, or a related quantitative field

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

Responsibilities

We are looking for an exceptional Customer Success Manager  to join our growing Commercial Customer Success team. In this role, you will be involved in working with customers to ensure the success and adoption of the Workato Intelligent Automation Platform.  You will also be responsible for the success of an assigned set of customer onboardings in a timely and productive manner.

In this role, you will also be responsible to:

• Develop and maintain strategic business relationships with customers to drive adoption and retention.
• Provide technical Workato product expertise.
• Be the expert in deployment models and governance structures and share best practices from a business and technical perspective.
• Educate People, Marketing, Sales, Customer and Finance Operations on the business value achieved through automating their processes.
• Develop and implement processes and programs to increase usage of the product within the current group and drive cross sell opportunities within other groups.
• Actively coach and mentor the broader CSM team, contributing to overall team development
• Serve as the primary point of escalation when customer issues arise, troubleshoot, and ensure quick resolution.
• Provide quantitative/qualitative analysis to inform team decision-making and product roadmap.
• Become the trusted customer advisor and be the customer advocate within Workato.
• Be available to work Australia Hours 

Requirements

Qualifications / Experience / Technical Skills

• BS or equivalent education
• 5+ years of experience in consulting, customer success management and technical account management. Prior experience as a Account Executive, Senior Member of a large consulting firm or CSM in SaaS/iPaaS preferred
• Experience in Integration and/or business automation.
• Understanding of large complex businesses with many stakeholders.
• Awareness of each of the following roles day to day processes and expertise in several; People (HR), Finance, Marketing, Sales, and Post Sales Customer Organizations.
• Comfortable operating with revenue targets.
• Impressive track record of high customer retention and growth.
• Strong sense of customer empathy and customer-centrism.
• Excellent interpersonal and communication skills.
• Strong problem solving and analytical thinking.
• Entrepreneurial drive and comfort working in ambiguous, quickly-changing environments.
• A passion for and belief in the power of automation to drive business value.
• Prior Experience in Digital Transformation preferred.
• Experience in Integration and/or business automation.

Soft Skills / Personal Characteristics

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations.
• Highly organized, able to manage many projects concurrently.
• Issue management and resolution-focused.
• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact; we want company builders.
• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set.
• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.
• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly.
• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.

Job Req ID: 2658

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

About the Role

We are seeking a Marketing Science Analyst II to join our Marketing Analytics team in Hyderabad. In this role, you will partner with paid media, growth, and cross-functional teams to measure and optimize marketing performance across digital and offline channels. You will play a key role in campaign measurement, attribution, experimentation, and reporting—translating complex data into actionable insights that drive business growth.

This position is ideal for a highly analytical professional with hands-on marketing analytics experience who is ready to take ownership of measurement frameworks while collaborating across a global organization.

Responsibilities

Campaign Measurement & Attribution

• Support the tracking and reporting of campaign performance by compiling relevant KPIs and spend data. 
• Assist in incrementality testing efforts and contribute to A/B test setup and execution for marketing initiatives. 
• Help evaluate performance using MMM inputs, basic channel lift analysis, and cross-channel measurement frameworks.

Performance Analytics & Optimization

• Track and report key performance metrics including Signups, CAC, CPFT, and payback periods.
• Conduct deep-dive analyses to identify performance drivers and optimization opportunities.
• Assist in maintaining regular campaign reporting across lines of business.
• Develop and refine audience segments for targeted paid campaigns, leveraging data insights to enhance performance

Data Analysis & Reporting

• Write complex SQL queries to analyze large datasets (millions to billions of records).
• Build and maintain dashboards in Tableau (or similar BI tools) to support stakeholder reporting needs
• Collaborate with analytics engineering teams to improve data quality, pipelines, and reporting processes.

Experimentation & Insights

• Assist in executing the test roadmap aligned with marketing goals.
• Apply basic statistical methods to evaluate experiments and measure performance impact.
• Support the translation of findings into clear insights and actionable recommendations.
• Support MMM modeling efforts within Marketing Science by contributing to data inputs and assisting in the interpretation of model outputs for marketing measurement

Cross-Functional Collaboration

• Work closely with PMUA, GTM, Analytics, and Data Engineering teams to align on KPIs and measurement standards.
• Maintain documentation and support alignment across teams.
• Contribute to bi-weekly insights decks and leadership reporting.

About You

• 2+ years of experience in marketing analytics, data analytics, or a related quantitative field.
• 2+ years of experience writing complex SQL queries and working with large datasets.
• Experience with marketing attribution, paid media analytics, and performance measurement.
• Familiarity with marketing tools such as Google Analytics, Braze,Singular, Mixpanel  or similar platforms.
• Strong understanding of:
• Descriptive statistics
• Experimental design and A/B testing
• Key marketing KPIs (CAC, LTV, ROAS, retention)
• Familiarity with statistical methods and exposure to data science techniques (e.g., regression, experimentation, MMM) in a marketing analytics context.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Strong communication skills with the ability to translate complex data into clear, actionable insights.
• Proven ability to collaborate across cross-functional and global teams.
• Bachelor’s degree in Statistics, Computer Science, Engineering, or a related quantitative field.

Good to Have

• Experience with cloud data warehouses such as Snowflake or Redshift.
• Exposure to Marketing Mix Modeling (MMM) or advanced attribution modeling.
• Experience with analytics engineering tools such as Databricks.
• Exposure to automation of marketing reporting pipelines.

A Day in the Life

• Analyze campaign performance across paid social, search, display, and offline channels.
• Evaluate incrementality tests and provide recommendations on budget allocation.
• Build dashboards and automated reports to scale insights delivery.
• Partner with marketing leads to refine KPIs and measurement frameworks.
• Deliver insights to leadership through structured storytelling and data visualization.
• Contribute to sprint planning and collaborate with global stakeholders to drive high-impact analytics initiatives.

The Opportunity:

Definian is hiring an experience Senior Data Migration Developer_Oracle to join our growing offshore consulting team in India. In this role, you will work directly with clients to understand their business needs, solidify requirements, and become an expert with respect to their data. You will apply innovation, intelligence, and problem-solving skills to build custom solutions to their specific needs and guide them through large-scale technology transformations. You will benefit from mentorship and coaching from our industry experts.

The ideal candidate for this role will be someone who enjoys working with data and using technology to address a never-ending stream of challenges on behalf of clients who have huge needs but lack the ability, experience, time, and/or tools to do it themselves.

Job Title: Senior Data Migration Developer_Oracle

Position Type: Full Time

Location: Hyderabad Office (Onsite) 

The Opportunity:

Definian is hiring an experience Data Migration Developer to join our growing offshore consulting team in India. In this role, you will work directly with clients to understand their business needs, solidify requirements, and become an expert with respect to their data. You will apply innovation, intelligence, and problem-solving skills to build custom solutions to their specific needs and guide them through large-scale technology transformations. You will benefit from mentorship and coaching from our industry experts.

The ideal candidate for this role will be someone who enjoys working with data and using technology to address a never-ending stream of challenges on behalf of clients who have huge needs but lack the ability, experience, time, and/or tools to do it themselves.

Job Title: Data Migration Developer 

Position Type: Full Time

Location: Hyderabad Office (Onsite) 

GENERAL FUNCTION

Momentum’s Analytics team is looking for a Senior Data Analyst – Cards to join our growing Analytics Team. This individual will be the key person for consulting with the business to share data insights providing solutions, reports and strategies to launch, grow and take ownership of the data for our card product. Reporting directly to the Senior Manager of Analytics, the Senior Data Analyst – Cards will be the data subject matter expert for all card related data and any associated products and platforms, working closely with the product and marketing department, and external stakeholders. In addition to sharing data insights, the individual will have opportunities to work closely with business leaders in presenting findings and formulating data supported strategies.

If you see analytics as an opportunity to solve problems, build relationships, drive business and have fun while doing it, you’ve come to the right place.

DUTIES/RESPONSIBILITIES

• Leverage data expertise to analyze a wide spectrum of data to provide insights and solutions to the business.
• Identify and improve inefficiencies or issues in current data processes and reports with a “there’s always room for improvement” mindset.
• Conceive, design & develop purpose focused reports and dashboards that drives value and meets business needs
• Manipulate large data sets from multiple sources to provide business metric reporting
• Communicate concise and actionable business strategies from vast amounts of data for Sr. Management.
• Continuously broaden knowledge of different business verticals and their functions and how they utilize data
• Lead the regular touchpoint with business stakeholders to provide insights beyond what is requested and/or provide data solutions to improve their workflow
• Be able to provide accurate and reliable solutions and explanations independently with minimal supervision

EDUCATION

• Bachelor’s degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics

EXPERIENCE

• 3+ years of experience in reporting, analysis and strategy development in the financial services industry.
• Proven experience using SQL, R, Python, or similar data mining and analytics applications.
• Experience manipulating, creating and presenting insights with credit card data that influence credit card product strategy.
• Experience with Tableau, Microsoft Power BI, Microsoft SSRS or other tools.
• Proficient in Microsoft Excel, Word, and PowerPoint.
• Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises.
• Proven ability to effectively analyze and interpret large amounts of raw data to accurately convey business needs.
• Excellent communication and presentation skills, and ability to simply explain complex information to both technical and non-technical audiences.
• Strong work ethic, curious and persistent determination in reviewing and reconciling variances.
• Ability to work autonomously as well as in a team setting.
• Aptitude and willingness to roll-up the sleeves and get involved in the details.
• Highly curious with the desire to go deep beneath the surface to solve problems.
• Good business judgment with demonstrated ability to think creatively and strategically.
• Desire to take full ownership of deliverables and be accountable for results
• Ability to provide deliverables accurately and on time with minimal supervision
• Ability to draw conclusions and provide explanations and make recommendations based on analysis

EMPLOYER’S RIGHTS

This job description does not list all the duties of the job. You may be asked by supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.

The employer has the right to revise this job description at any time. This job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.  This document contains Momentum Group’s confidential and proprietary information and is intended for Momentum internal use only.

At Momentum/Money Mart, our vision is to transform customers’ lives for the better. With over 40 years of experience in financial services and 400+ retail locations across Canada and the U.S., we are committed to providing tailored financial solutions to underserved customers often overlooked by traditional financial institutions.

Now, we’re bringing this purpose-driven approach to India, and we want you to be part of our journey.

OUR CORE VALUES: WHAT DRIVES US

• Where Everybody is Somebody: We prioritize inclusivity and respect, ensuring that every team member’s voice matters. We foster a collaborative environment where everyone can thrive. 
• We Say “Yes” When Others Say “No”: Our team is friendly and compassionate, dedicated to delivering an uplifting customer experience. We go the extra mile to provide solutions that truly make a difference, no matter where our customers are on their financial journey. 
• We Have a Passion for Our Purpose: We act with integrity and continually seek ways to grow and innovate. With the largest breadth of products in our industry and new offerings in development, we challenge the status quo to better serve our customers. 
• We Win as a Team: We believe in the power of teamwork and diversity, celebrating the unique talents of every team member. Hard work is recognized and valued, creating an environment where everyone contributes to our collective success. 
  
  

WHY JOIN MFSG TECHNOLOGIES INDIA?

Employee Benefits

We’re committed to supporting your health, well-being, and financial growth:

1. Competitive Employee Benefits

💠 Comprehensive Medical Coverage

• Includes employee, spouse, two children, and two parents.
• Coverage Amount: ₹6 lakhs annually.
• ₹5 lakhs top-up is available if you would like to opt, with thousand rupees per month deduction.

💠 Provident Fund Contribution

• Employer contribution of ₹1,800 per month to support long-term financial security.

💠 Performance-Based Incentives

• Annual bonus of up to 5% of base salary, based on performance and company success.

Reward & Recognition

⭐ Bucketlist Rewards Platform

• Recognizing outstanding contributions through a point-based rewards system.
• Redeem points for gift cards, experiences, and personalized perks that matter most to you.

⭐ Culture of Appreciation

• Celebrating milestones, achievements, and impact across teams.

Work-Life Balance & Flexibility

🏠 Flexible Work Model

• Currently remote, with a future transition to a hybrid model.

📅 Paid Leave Entitlements

• 15 Annual Leaves
• 6 Casual Leaves
• 12 Sick Leaves

If you're looking for a place where passion fuels purpose and where you can make a difference, we invite you to join us at MFSG Technologies (India) Private Limited. Together, let’s win and empower our customers. 

1. Learning & Career Growth

📚 Continuous Learning Culture

• Access to upskilling programs, mentorship, and professional development resources.
• Encouragement to learn, adapt, and innovate in a fast-growing financial services landscape.

🚀 Career Growth Opportunities

• Internal mobility programs to help employees advance in their careers.
• Support for leadership development, industry certifications, and specialized training.

🤝 Collaborative Knowledge Sharing

• Work with global teams, gaining exposure to international best practices.
• Encouragement to share ideas, experiment, and take ownership of impactful projects.

GENERAL FUNCTION

Momentum’s Analytics team is looking for a Sr. Analyst, Data Analytics to join our growing Risk Group. Reporting directly to the Sr. Manager of Analytics, the Sr. Analyst, Data Analytics will be the subject matter data expert providing the business with insights, strategies, and solutions through a consultative approach to bring success to our business and our customers.

DUTIES/RESPONSIBILITIES

• Leverage data expertise to analyze a wide spectrum of data to provide insights and solutions to the business.
• Identify and improve inefficiencies or issues in current data processes and reports with a “there’s always room for improvement” mindset.
• Conceive, design & develop purpose focused reports and dashboards that drive value and meets business needs
• Manipulate large data sets from multiple sources to provide business metric reporting
• Communicate concise and actionable business strategies from vast amounts of data to senior management.
• Continuously broaden knowledge of different business verticals and their functions and how they utilize data
• Lead the regular touchpoint with business stakeholders to provide insights beyond what is requested and/or provide data solutions to improve their workflow
• Conduct advanced statistical and financial analysis to uncover trends, patterns, and business opportunities.
• Leverage statistical modeling, predictive analytics, and machine learning techniques to provide deeper insights into business operations and market conditions.
• Produce high-quality, visually compelling reports and dashboards using tools such as Tableau, Power BI, or Excel for stakeholders at all levels.
• Support the Sr. Manager of Analytics in defining key metrics, performance targets, and project priorities for the department.

EDUCATION

• Bachelor’s degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics

EXPERIENCE

• 4 years of experience in reporting, analysis and strategy development in the financial services industry.
• Proven experience using SQL, R, Python, or similar data mining and analytics applications.
• Experience with Tableau, Microsoft Power BI, Microsoft SSRS or other tools.

SKILLS

• Proficient in Microsoft Excel, including advanced functions such as pivot tables, macros, and data analysis tools
• Strong attention to detail, with a high level of accuracy in data analysis and reporting.
• Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises
• Proven ability to effectively analyze and interpret large amounts of raw data to accurately convey business needs
• Excellent communication and presentation skills, with an ability to explain complex information to both technical and non-technical audiences.
• Strong work ethic, curious and persistent determination in reviewing and reconciling variances.
• Ability to work autonomously as well as in a team setting.
• Ability to work cross-functionally and build relationships with both technical and non-technical colleagues
• Good business judgment with demonstrated ability to think creatively and strategically
• Desire to take full ownership of deliverables and be accountable for results
• Ability to provide deliverables accurately and on time with minimal supervision
• Ability to draw conclusions and provide explanations and make recommendations based on analysis

At Momentum/Money Mart, our vision is to transform customers’ lives for the better. With over 40 years of experience in financial services and 400+ retail locations across Canada and the U.S., we are committed to providing tailored financial solutions to underserved customers often overlooked by traditional financial institutions.

Now, we’re bringing this purpose-driven approach to India, and we want you to be part of our journey.

OUR CORE VALUES: WHAT DRIVES US

Where Everybody is Somebody: We prioritize inclusivity and respect, ensuring that every team member’s voice matters. We foster a collaborative environment where everyone can thrive. 

We Say “Yes” When Others Say “No”: Our team is friendly and compassionate, dedicated to delivering an uplifting customer experience. We go the extra mile to provide solutions that truly make a difference, no matter where our customers are on their financial journey. 

We Have a Passion for Our Purpose: We act with integrity and continually seek ways to grow and innovate. With the largest breadth of products in our industry and new offerings in development, we challenge the status quo to better serve our customers. 

We Win as a Team: We believe in the power of teamwork and diversity, celebrating the unique talents of every team member. Hard work is recognized and valued, creating an environment where everyone contributes to our collective success. 

WHY JOIN MFSG TECHNOLOGIES INDIA?

Employee Benefits

We’re committed to supporting your health, well-being, and financial growth:

1. Competitive Employee Benefits

💠 Comprehensive Medical Coverage

• Includes employee, spouse, two children, and two parents.
• Coverage Amount: ₹6 lakhs annually.
• ₹5 lakhs top-up is available if you would like to opt, with thousand rupees per month deduction.

💠 Provident Fund Contribution

• Employer contribution of ₹1,800 per month to support long-term financial security.

💠 Performance-Based Incentives

• Annual bonus of up to 5% of base salary, based on performance and company success.

Reward & Recognition

⭐ Bucketlist Rewards Platform

• Recognizing outstanding contributions through a point-based rewards system.
• Redeem points for gift cards, experiences, and personalized perks that matter most to you.

⭐ Culture of Appreciation

• Celebrating milestones, achievements, and impact across teams.

Work-Life Balance & Flexibility

🏠 Flexible Work Model

• Currently remote, with a future transition to a hybrid model.

📅 Paid Leave Entitlements

• 15 Annual Leaves
• 6 Casual Leaves
• 12 Sick Leaves

If you're looking for a place where passion fuels purpose and where you can make a difference, we invite you to join us at MFSG Technologies (India) Private Limited. Together, let’s win and empower our customers. 

1. Learning & Career Growth

📚 Continuous Learning Culture

• Access to upskilling programs, mentorship, and professional development resources.
• Encouragement to learn, adapt, and innovate in a fast-growing financial services landscape.

🚀 Career Growth Opportunities

• Internal mobility programs to help employees advance in their careers.
• Support for leadership development, industry certifications, and specialized training.

🤝 Collaborative Knowledge Sharing

• Work with global teams, gaining exposure to international best practices.
• Encouragement to share ideas, experiment, and take ownership of impactful projects.

StarRez operates globally across the USA, UK, Canada, and Australia. The India Center is a pivotal extension of our growth strategy, focusing on building world-class centers of excellence teams while fostering a seamless blend of StarRez’s core values with India’s dynamic talent ecosystem.   

The Role 

As a Product Analytics Lead at StarRez, you will oversee impact measurement of our software across the customer and user lifecycle. Insights derived from this area of the business will be used to drive product strategy and the roadmap, enhance the customer experience and optimize business performance. This is a senior-level role that combines technical and data expertise, strategic thinking, and leadership to deliver actionable insights and influence decision-making across the organization. 

What You Will Own 

• Data Analysis: 
  
  • Analyze product usage data to uncover insights, trends, and opportunities for growth. 
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs). 
  
  
• Stakeholder Collaboration: 
  
  • Analyze product usage data to uncover insights, trends, and opportunities for growth.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs).
  • Work closely with product managers, engineers, designers and broader cross functional stakeholders to identify data-driven opportunities.
  • Provide actionable insights to support product development and feature prioritization. 
    
    
• Customer Insights: 
  
  • Conduct behavioral analysis to understand user journeys and identify friction points.
  • Partner with user research teams to supplement qualitative findings with quantitative data. 
    
    
• Experimentation:
  
  • Design, execute, and analyze A/B tests to optimize features and improve user engagement.
  • Recommend changes based on test results to improve product outcomes. 
    
    
• Documentation: 
  
  • Document data analysis processes, insights, and recommendations for future reference. 
    
• Tool Ambassador 
  
  • Support the running of a Centre of Excellence for Pendo, our incumbent Product Analytics tool, in order to realise maximum value from this software
  • Stay across developments of its features and propose ways to leverage and integrate other internal data sources to Pendo to generate the highest impact data sets that can then be used to guide business decisions. 

Required Qualifications 

• 2–4 years of experience in product analytics, business intelligence, or a related field.
• Proficient in SQL for data extraction and manipulation. 
• Familiarity with data visualization tools like Pendo, Tableau, Looker, or Power BI. 
• Experience with analytics tools such as Google Analytics, Mixpanel, or Amplitude. 
• Basic understanding of statistical methods for data analysis (e.g., hypothesis testing). 
• Strong analytical mindset and attention to detail. 
• Ability to translate complex data into clear and actionable insights.
• Effective communication and presentation skills. 
• Bachelor’s degree in Data Science, Statistics, Business, or a related field.
• Hands-on experience with SaaS products is a plus. 

Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you!  

Reasons to join our Team: 

StarRez is not just a workplace—it’s a place to belong, build, and grow.   

• A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.   

• Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.   

• Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.   

• Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.   

• Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.   

If you are excited about building game-changing products in a high-impact, collaborative environment—StarRez India is the place for you.   

We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.  

Notice to external Recruiters and Recruitment Agencies:  

StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future.