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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
When you join our Core Analytics Team, you will be part of a centralized analytics team, with all the benefits that entail: a world class peer group to support you, centrally maintained tools, career growth, and more.
This role will specifically support the Device/OS Analytics team, partnering closely with product, engineering, and analytics teams to drive data-informed decisions that enhance device performance, reliability, and user experience.
About the role
Roku is looking for a Business Intelligence Engineer to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create analytical data assets, and use visualization to create informative reports and dashboards that allow stakeholders to answer questions quickly and with confidence. You will become an expert in our data infrastructure and create/maintain pipelines that are critical to conducting robust analyses. The ideal candidate for this role loves building tools and reports that empower others to make high impact decisions and tell stories with data.
What you will be doing
- Work directly with analysts and engineers to understand goals, gather requirements, and guide development of new data assets by producing robust feature guides
- Build and support robust data pipelines to support business tools and analytical needs and meet SLAs
- Conduct UAT on new tables
- Liaise with data engineers to understand and communicate the impacts of underlying changes in the data and update dependent pipelines
- Identify and fill gaps among our data assets and key metrics
- Serve as the resident expert in understanding the nuance of our data infrastructure for the analytics team. You will be the go-to-person when questions arise around the correct dataset, proper joins, bugs, etc.
- Create reports, dashboards, visualizations, and self-service tools that help partners monitor business trends and key metrics
- Monitor key metrics and business processes to identify trends and uncover root causes that drive business impact
We're excited if you have
- 3+ years of relevant work experience in Analytics, Business Intelligence, or Technical Operations
- Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Spark)
- Experience writing data pipelines using Airflow
- Fluency in Looker and/or Tableau
- Strong understanding of data warehousing principles, pipelines, and APIs
- AI experience is a plus
- Strong communication skills
- The ability to work independently and across multiple time zones
- Ownership mindset- you own the end-to-end lifecycle of a product starting from ideation to adoption and maintenance
- Bachelors or Masters in math, physics, computer science, economics or equivalent
#LI-AK1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Biz. Marketing Specialist (Search advertising)
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Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Position : Senior Biz. Marketing Specialist (Search advertising)
What will you do?
1. High-Precision Execution & Management
- Own the end-to-end execution of Paid Search campaigns across Google Ads and Microsoft Advertising.
- Manage large-scale, high-pressure budgets with a focus on maximizing GMV while adhering to efficiency floors.
- Ensure 100% account hygiene, including tracking parameters (MMP/OCI), bid caps, and negative keyword maintenance.
2. Strategic Keyword & Search Expansion
- Lead aggressive Keyword Expansion initiatives to capture new market share without sacrificing ROAS.
- Master Dynamic Search Ads (DSA) to identify long-tail opportunities and "fill the gaps" in manual keyword coverage.
- Implement intent-based clustering to solve "Theme Fragmentation," ensuring Ad Groups remain semantically cohesive and aligned with Google's relevance algorithms.
3. Advanced Data Analysis & "Deep Dives"
- Move beyond surface-level metrics (Traffic/Clicks) to analyze GPC (GMV per Click) and Signal Drift.
- Conduct weekly deep dives into search term reports to prune broad-match leakage and identify emerging consumer trends.
- Build opportunity-sizing models to forecast the impact of landing page optimizations or new initiative rollouts.
4. Creative & Landing Page Optimization
- Partner with creative and regional teams (e.g., Korea/Global) to implement advanced features.
- Analyze landing page friction points and advocate for high-converting destination URLs based on competitor benchmarking and internal conversion data.
Basic Qualifications
- Experience: 5–8 years of experience in Paid Search/SEM, preferably within E-commerce or high-growth tech environments.
- Technical Mastery: Expert-level knowledge of Google Ads (RSA, DSA, tROAS bidding). Familiarity with script-based automation or API-driven campaign management is a plus.
- Data Literacy: Advanced Excel/Google Sheets skills are mandatory. Experience with SQL, Python, or data visualization tools (Tableau/Looker) is highly preferred for performing technical audits.
- MMP Expertise: Strong understanding of Mobile Measurement Partner (MMP) integrations and URL tracking logic for app-to-web environments.
- Problem Solving: A "First Principles" thinker who doesn't just follow SOPs but creates them. You must be comfortable with ambiguity and proactive in learning new technologies (e.g., OCI integrations).
- Communication: Exceptional ability to simplify complex data into executive-level insights. Must be able to present in both English and Chinese to regional and local stakeholders.
Preferred Qualifications
- Extreme Ownership: You close every thread you start. You are responsible for the health of the account 24/7 and ensure seamless transitions and delegations during absences.
- The "Hungry" Learner: You don't settle for "I don't know." You are motivated to explore the "why" behind performance shifts and stay ahead of platform algorithm changes.
- Efficiency First: You understand that scaling is easy, but scaling profitably is an art. You focus on purifying signals rather than just buying impressions.
Recruitment Process and Others
Recruitment Process
Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
人人均等的機會
Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功
Ready to apply?
Apply to Coupang InternalManager, Data Analysis
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Company Introduction
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Role Overview
As the Senior Manager of Data Analytics, you will lead the intelligence engine for Coupang Taiwan’s Post-Purchase Experience, CS & Fraud. You will transform massive datasets into actionable strategies that reduce return defects, fraud, optimize customer service efficiency, and identify opportunities to improve return customer experience. You will lead a team of analysts to bridge the gap between "what happened" and "what we should do next."
What You Will Do
-
Strategic Insights: Lead the end-to-end analytics for the Returns and CS lifecycle. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions.
-
Predictive Modeling: Develop and oversee models to predict return propensity and customer lifetime value (CLV), helping the business proactively manage risk.
-
Performance Measurement: Define and own the "North Star" metrics for the Taiwan CS organization, including First Contact Resolution (FCR), Net Promoter Score (NPS), and Cost per Contact.
-
Stakeholder Influence: Act as a strategic partner to the PPE (Process, Policy & Engineering) and Logistics teams, using data to influence the product roadmap and operational SOPs.
-
Team Leadership: Mentor and scale a team of high-performing data analysts, fostering a culture of technical excellence and business-first thinking.
-
Dashboarding & Automation: Transition the organization from manual reporting to real-time, automated BI solutions (Tableau/Looker) that empower regional leads
Basic Qualifications
- Experience：8+ years in Data Analytics, Business Intelligence, or Data Science (E-commerce or FinTech preferred).
- Technical Stack：Expert proficiency in SQL and Python/R. Deep experience with Tableau, PowerBI, or Looker, Prompt engineering, usage for LLMs for analytics.
- Statistical Skills：Strong grasp of A/B testing, regression analysis, and hypothesis testing.
- Leadership：3+ years of experience managing direct reports and leading cross-functional projects.
- Communication：Ability to translate "data-speak" into executive-level narratives in both English and Mandarin.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Ready to apply?
Apply to Coupang Internal
Manager, Data Analysis (Returns & Customer Service)
Share this job
Company Introduction
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Role Overview
As the Senior Manager of Data Analytics, you will lead the intelligence engine for Coupang Taiwan’s Post-Purchase Experience, CS & Fraud. You will transform massive datasets into actionable strategies that reduce return defects, fraud, optimize customer service efficiency, and identify opportunities to improve return customer experience. You will lead a team of analysts to bridge the gap between "what happened" and "what we should do next."
What You Will Do
-
Strategic Insights: Lead the end-to-end analytics for the Returns and CS lifecycle. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions.
-
Predictive Modeling: Develop and oversee models to predict return propensity and customer lifetime value (CLV), helping the business proactively manage risk.
-
Performance Measurement: Define and own the "North Star" metrics for the Taiwan CS organization, including First Contact Resolution (FCR), Net Promoter Score (NPS), and Cost per Contact.
-
Stakeholder Influence: Act as a strategic partner to the PPE (Process, Policy & Engineering) and Logistics teams, using data to influence the product roadmap and operational SOPs.
-
Team Leadership: Mentor and scale a team of high-performing data analysts, fostering a culture of technical excellence and business-first thinking.
-
Dashboarding & Automation: Transition the organization from manual reporting to real-time, automated BI solutions (Tableau/Looker) that empower regional leads
Basic Qualifications
- Experience：8+ years in Data Analytics, Business Intelligence, or Data Science (E-commerce or FinTech preferred).
- Technical Stack：Expert proficiency in SQL and Python/R. Deep experience with Tableau, PowerBI, or Looker, Prompt engineering, usage for LLMs for analytics.
- Statistical Skills：Strong grasp of A/B testing, regression analysis, and hypothesis testing.
- Leadership：3+ years of experience managing direct reports and leading cross-functional projects.
- Communication：Ability to translate "data-speak" into executive-level narratives in both English and Mandarin.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Ready to apply?
Apply to Coupang
Senior Biz. Marketing Specialist (Search advertising)
Share this job
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Position : Senior Biz. Marketing Specialist (Search advertising)
What will you do?
1. High-Precision Execution & Management
- Own the end-to-end execution of Paid Search campaigns across Google Ads and Microsoft Advertising.
- Manage large-scale, high-pressure budgets with a focus on maximizing GMV while adhering to efficiency floors.
- Ensure 100% account hygiene, including tracking parameters (MMP/OCI), bid caps, and negative keyword maintenance.
2. Strategic Keyword & Search Expansion
- Lead aggressive Keyword Expansion initiatives to capture new market share without sacrificing ROAS.
- Master Dynamic Search Ads (DSA) to identify long-tail opportunities and "fill the gaps" in manual keyword coverage.
- Implement intent-based clustering to solve "Theme Fragmentation," ensuring Ad Groups remain semantically cohesive and aligned with Google's relevance algorithms.
3. Advanced Data Analysis & "Deep Dives"
- Move beyond surface-level metrics (Traffic/Clicks) to analyze GPC (GMV per Click) and Signal Drift.
- Conduct weekly deep dives into search term reports to prune broad-match leakage and identify emerging consumer trends.
- Build opportunity-sizing models to forecast the impact of landing page optimizations or new initiative rollouts.
4. Creative & Landing Page Optimization
- Partner with creative and regional teams (e.g., Korea/Global) to implement advanced features.
- Analyze landing page friction points and advocate for high-converting destination URLs based on competitor benchmarking and internal conversion data.
Basic Qualifications
- Experience: 5–8 years of experience in Paid Search/SEM, preferably within E-commerce or high-growth tech environments.
- Technical Mastery: Expert-level knowledge of Google Ads (RSA, DSA, tROAS bidding). Familiarity with script-based automation or API-driven campaign management is a plus.
- Data Literacy: Advanced Excel/Google Sheets skills are mandatory. Experience with SQL, Python, or data visualization tools (Tableau/Looker) is highly preferred for performing technical audits.
- MMP Expertise: Strong understanding of Mobile Measurement Partner (MMP) integrations and URL tracking logic for app-to-web environments.
- Problem Solving: A "First Principles" thinker who doesn't just follow SOPs but creates them. You must be comfortable with ambiguity and proactive in learning new technologies (e.g., OCI integrations).
- Communication: Exceptional ability to simplify complex data into executive-level insights. Must be able to present in both English and Chinese to regional and local stakeholders.
Preferred Qualifications
- Extreme Ownership: You close every thread you start. You are responsible for the health of the account 24/7 and ensure seamless transitions and delegations during absences.
- The "Hungry" Learner: You don't settle for "I don't know." You are motivated to explore the "why" behind performance shifts and stay ahead of platform algorithm changes.
- Efficiency First: You understand that scaling is easy, but scaling profitably is an art. You focus on purifying signals rather than just buying impressions.
Recruitment Process and Others
Recruitment Process
Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
人人均等的機會
Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功
Ready to apply?
Apply to Coupang
About Appier
Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
About the role
The primary role of the Campaign Analyst is to be the Strategic Pilot of AI – turning AI into ROI.
Responsibilities
- Manage and execute ad campaigns with Appier proprietary AI platform and products.
- Plan and manage multinational advertising campaigns, formulate localized advertising strategies.
- Analyze data and campaign performance, configure automated optimization processes, conduct experiments, ensuring client’s KPIs are met with precision and speed.
- Co-work with sales managers, account managers, product managers, data analysts and on various optimization-related projects.
- Adjust and improve the effectiveness of AI models. Improve overall performance of the system.
- Provide historical data and estimation of performance for the business development team. Assist the development of new customers.
Who you are:
- AI & Tech Enthusiast: Tech early adopters. Loves exploring new AI tools to work faster and smarter. Always looking for ways to improve efficiency.
- Detail-Oriented: Ensures zero-error campaign execution while applying numerical sensitivity to spot anomalies, data discrepancies, and granular insights that others might miss.
- Hands-On & Proactive: Possesses a strong "can-do" spirit. Approaches challenges with a positive, hands-on mindset, actively seeking solutions rather than waiting for instructions.
- Cool Under Pressure: Stays calm in a fast-paced environment; can focus and deliver results even when things get busy.
- Proactive Problem Solver: Good at critical thinking and able to apply systematic problem-solving processes to achieve success.
- Data-Driven Mindset: Rapidly adapts to new tools and methodologies, using a quantitative approach to analyze, learn, and present results.
What you need:
- 1+ years working experience. RTB/Programmatic buying experience a plus.
- Passion for digital advertising and/or game-changing technology.
- Eagerness to work in a start-up team environment that will be rapidly changing.
- You can use Excel and you’re not afraid of Pivot Tables.
- Flexibility to occasionally work at odd hours when necessary (from home).
- This role needs to work on the weekend shift (once per month).
- Minimum BA/BS University degree or related experience.
- Business level fluency in English (TOEIC 750+, GEPT High-Intermediate level, TOEFL 90+, IELTS 6.5+).
- Exposure to digital ad serving concepts (CPM/CPA/RTB/ROI), video, mobile, and social media is a plus.
Preferred Qualifications:
- AI Productivity Tools: Familiar with Generative AI tools (e.g., Gemini, ChatGPT, Copilot), Prompt Engineering, or other newly developed tools to speed up daily workflows.
- Automation Mindset: Experience with automation tools (e.g., Zapier, n8n); enjoys building workflows that run automatically to save time.
- Data & Logic: Basic knowledge of SQL, Python, or data visualization tools (e.g., Tableau, Looker) is a big plus.
- AdTech Ecosystem Knowledge: Familiarity with MMPs (e.g., AppsFlyer, Adjust, Singular) and the mobile attribution landscape.
- Structured Thinking: Experience using project management tools (e.g., Jira, ClickUp) or organizing complex SOP documentation.
#LI-CS1
Ready to apply?
Apply to Appier
Data Analyst / Senior Data Analyst (Enterprise Solution)
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About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
About the role
We are looking for a Data Analyst / Senior Data Analyst in Taiwan to join our Enterprise Solution team.
In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.
To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.
[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]
Responsibilities
- Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.
- Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and Engineers to identify business pain points and provide actionable analytical suggestions.
- Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior.
- Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports.
- A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
- Data Governance: Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.
About you
[Minimum qualifications]
- Education: Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.
- Experience: 2+ years of industry experience in data analytics or a related field.
- Technical Skills:
- Proficient in SQL, Python
- Practical experience in developing dashboards using Tableau, Looker, or similar tools.
- Core Competencies:
- Solid foundation in statistics and strong logical reasoning for problem-solving.
- Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.
- Excellent oral and written communication skills in English and Mandarin.
- High level of self-discipline and adaptability within a fast-paced, high-growth environment.
[Preferred qualifications]
- Experience in the Digital Marketing (MarTech) industry.
- Familiarity with Google BigQuery, Mongo DB
- Foundational knowledge or hands-on experience in Machine Learning (ML).
- Experience in Agent development or AI-driven workflows.
- Prior experience working in an English-speaking professional environment with cross-border teams.
#LI-RL1
Ready to apply?
Apply to Appier