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Data Analyst – Advertising & AI‑enabled Analytics

Rekruton Global IT Services · Ahmedabad

New
🇬🇧 English
SQL Snowflake Athena Python pandas Data Studio Tableau PowerBI

Job description

About the role

As a Data Analyst you will turn campaign, bidding and audience data into actionable decisions. Working on a modern cloud data stack alongside internal AI systems, you will define key metrics, validate automated outputs and ensure trustworthy numbers reach stakeholders.

Key responsibilities

  • Explore large campaign, bidding and audience datasets in Snowflake or Athena to surface trends, anomalies and optimization opportunities across political, healthcare and BFSI campaigns.
  • Define and maintain KPI and semantic definitions for self‑serve and natural‑language analytics.
  • Validate AI‑assisted output, catching errors in automated SQL, summaries or recommendations before they influence decisions.
  • Develop dashboards and visualisations in Data Studio, Tableau or PowerBI to communicate findings to technical and non‑technical audiences.
  • Run ad‑hoc analyses, translate open‑ended business questions into rigorous studies and quantify impact of recommendations.
  • Collaborate with product, engineering and data‑science teams to ship data‑driven optimisations and feed analyst pain points back into platform improvements.
  • Handle sensitive political and healthcare data responsibly, complying with relevant regulations.

Required profile

  • Bachelor's degree or higher in Mathematics, Statistics, Economics, Computer Science, Engineering or a related quantitative field.
  • Strong statistical literacy – comfortable with distributions, cohorts, hypothesis testing and experiment results.
  • Excellent communication skills, able to present complex findings clearly to both technical and non‑technical stakeholders.
  • Detail‑oriented, curious and driven to find the real answer rather than the convenient one.

Required skills

  • SQL (hands‑on experience with cloud warehouses – Snowflake, Athena preferred).
  • Python (or R) for data manipulation and analysis (e.g., pandas).
  • BI/visualisation tools – Data Studio, Tableau, PowerBI.
  • Experience with cloud data stacks and modern analytics environments.

Questions fréquentes

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Published 12 hours ago

Expires 1 month from now

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Rekruton Global IT Services

Ahmedabad