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We are looking for a Senior Data Analyst to join the Analytics & Insights team and transform complex data into actionable insights. The role involves working with SQL, Python, Data Science, AI and visualization tools to support data-driven decision-making. You will collaborate with cross-functional teams while leveraging data cleanrooms, AI, and machine learning for advanced analytics. The ideal candidate is detail-oriented, analytical, and passionate about data science and emerging technologies.
Job Description:
We are looking for a highly motivated Senior Data Analyst to join our Analytics & Insights team. The ideal candidate is passionate about data analytics, data science, machine learning, and AI, and has a strong desire to transform data into meaningful insights that drive business decisions. Our team works extensively with data cleanrooms, AI, and machine learning to build advanced, privacy-safe, and scalable solutions. This role requires strong technical capability, analytical problem-solving skills, and excellent communication.
Analyze large datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations to communicate insights clearly to stakeholders.
Collaborate with cross-functional teams to understand business problems and translate them into analytical solutions.
Write efficient SQL queries to extract, clean, and manipulate data from various sources.
Develop and maintain scripts and analytical models using Python.
Support experimentation, measurement, and data-driven decision-making.
Ensure data quality, integrity, and documentation across all workflows.
SQL: Strong proficiency in writing complex queries, optimizing performance, and working with relational databases.
Python/R: Experience with data manipulation, statistical analysis, and basic machine learning workflows and Algorithms.
Data Visualization: Proficiency in tools such as Tableau, Power BI, Looker, or equivalent.
Analytics & Problem-Solving: Strong logical reasoning, structured thinking, and the ability to break down complex problems.
Communication: Ability to present insights clearly, influence decision-making, and collaborate with non-technical stakeholders.
Client Engagement
Bachelor's degree in Engineering (B.Tech) or a similar quantitative/technical field preferred.
Experience working with big data platforms (BigQuery, Spark, etc.).
Understanding of marketing analytics, attribution, or measurement frameworks.
Exposure to cloud environments (GCP/AWS/Azure).
Familiarity with machine learning concepts and modeling.
Passionate about analytics, data science, ML, and AI.
Curious, detail-oriented, and committed to delivering high-quality work.
Comfortable working in fast-paced environments with evolving priorities.
A team player with a growth mindset who constantly seeks to learn and improve.
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