Associate Data Analyst

Job Description:

We are looking for a highly motivated 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.

• Extract, clean, and manipulate data using SQL and Python.

• Develop dashboards and visualizations to communicate findings clearly to stakeholders.

• Identify trends, anomalies, and opportunities through data exploration and statistical analysis.

• Support measurement frameworks, experiments, and attribution analyses.

• Work with data cleanrooms and scalable analytics environments to enable privacy-safe insights.

• Collaborate with product, marketing, and business teams to translate requirements into analytical solutions.

• Engage directly with clients to understand business needs, present insights, and support solution delivery.

• Ensure data accuracy, documentation, and integrity across analytical workflows.

• SQL: Strong proficiency in writing complex queries, optimizing performance, and working with relational databases.

• Python: Experience with data manipulation (Pandas, NumPy), statistical analysis, and basic machine learning workflows.

• 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.

• 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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