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Cloud Data Warehouse Engineer / Analyst

Cloud Data Warehouse Engineer / Analyst

Canopus Infosystems - A CMMI Level 3 CompanyRepublic Of India, IN
3 days ago
Job description

Job Title : Data Engineer (Analyst)

Experience : 2+ Years

Location : Remote

About the Role :

We are looking for an experienced Data Engineer (Analyst) who can design, build, and optimize data models and pipelines to support business intelligence and performance analytics. The ideal candidate should have a strong understanding of SQL, cloud data warehouses (preferably Snowflake), and hands-on experience with advertising or marketing data.

Key Responsibilities :

  • Design, build, and maintain scalable data pipelines and analytical models for advertising events such as impressions, clicks, and conversions.
  • Analyze programmatic advertising data across multiple platforms (DSPs, ad exchanges, social networks).
  • Support campaign performance analysis and provide data-driven insights to optimize marketing effectiveness.
  • Conduct A / B testing and experimental analysis to evaluate campaign performance and creative strategies.
  • Track and interpret user behavior data using tools like Heap, Google Analytics, or similar platforms.
  • Develop and optimize SQL queries and manage ETL / ELT workflows in Snowflake or similar cloud data environments.
  • Collaborate with business stakeholders, product managers, and data teams to define key metrics, KPIs, and reporting requirements .
  • Build interactive dashboards and reports using BI tools such as Power BI, Tableau, Looker, or Sigma.
  • Ensure data quality, consistency, and governance across analytics datasets.

Required Skills :

  • Strong proficiency in SQL (joins, CTEs, window functions, aggregations, and query optimization).
  • Hands-on experience with Snowflake or other cloud data warehouses .
  • Solid understanding of programmatic advertising data (impressions, clicks, CTR, CPM, conversions, ROAS, etc.).
  • Experience with A / B testing frameworks and conversion rate analysis .
  • Familiarity with Heap , Google Analytics , or similar behavioral analytics tools .
  • Practical experience with BI tools such as Power BI, Tableau, Looker, or Sigma.
  • Strong analytical, problem-solving, and data storytelling skills .
  • Knowledge of ETL / ELT processes , data governance , and data quality management .
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    Cloud Data Warehouse • Republic Of India, IN

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