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Data Engineer (Analyst)

Data Engineer (Analyst)

Canopus Infosystems - A CMMI Level 3 Companymysore, karnataka, in
1 day 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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