Senior Data Analyst

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

• Bachelors 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.

Location:

Brand:

Time Type:

Contract Type: