2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title:

Experience:

Location:


About the Role:


Data Engineer (Analyst)


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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