Marketing Data Analyst, Growth Ops Audience

This role involves serving as a critical bridge between data analytics and business operations. The position requires translating business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates. Key responsibilities include building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity through processing, cleansing and validation efforts. The ideal candidate will communicate effectively with business stakeholders, identify operational trends to develop technical solutions and maintain comprehensive documentation of targeting procedures and processes. This position combines strategic thinking with hands‑on data management to drive operational efficiency and informed decision‑making.

B.S. / M.S. in relevant or quantitative discipline : Computer Science, Data Science, Applied Mathematics and / or Statistics

5 years of experience working as a decision / data scientist / analyst, data engineer or software engineer

High proficiency with databases and data retrieval including Trino, SQL, Snowflake, Spark and REST APIs

Experience working with R, Python, SAS or other statistical programming languages

Capable of producing high‑quality deliverables within tight deadlines

A passion for data and technology

Experience building operational dashboards and automated reporting preferably in Tableau and / or Streamlit

Hands‑on experience with at least 2 of the following statistical models / techniques : recommendation systems, neural networks, deep learning, optimization and simulation, churn models, logistic regression, linear regression, forecasting, A / B testing, clustering and segmentation or others

Strong communicator with both upstream and downstream stakeholders

Ability to adapt to changes, self‑driven and multitasking in a very fast‑paced environment are key success factors for the right candidate

Required Experience

IC

Key Skills

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment Type : Full-Time

Department / Functional Area : Marketing

Vacancy : 1

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