Senior Associate - Reporting and Analytics

3 - 5 years

3 - 8 Lacs

Posted:11 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Key Responsibilities

  • Develop and maintain scalable and reliable 

    data pipeline architectures

     using 

    Python

    SQL

    AWS

    , and 

    Snowflake

    .
  • Assemble large, complex datasets that meet both functional and non-functional business requirements.
  • Automate manual processes using Python, optimize data delivery, and redesign infrastructure for improved scalability and performance.
  • Build ETL frameworks and analytics tools to support data transformation, reporting, and actionable insights.
  • Partner with cross-functional stakeholders (Product, Design, Data, and Executive teams) to address technical challenges and provide data infrastructure support.
  • Ensure data security and separation across geographic regions and AWS availability zones.
  • Collaborate with analytics experts to enhance data system functionality and performance.

Qualifications & Skills

  • 3+ years

     of experience in a data engineering or data scripting role.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Advanced proficiency in 

    SQL

     and working with relational databases (e.g., 

    PostgreSQL

    SQL Server

    ).
  • Hands-on experience in 

    Python

     scripting and using libraries like 

    Pandas

    NumPy

    , etc., for data processing and cleaning.
  • Knowledge of 

    web scraping

    API integrations

    , and automation of data workflows.
  • Experience with 

    Snowflake

    AWS

    , and 

    cloud services

     such as 

    Azure

    Google Cloud

    , or equivalent.
  • Familiarity with 

    NoSQL databases

     like 

    Cassandra

     is a plus.
  • Ability to debug and resolve issues in scripts and workflows independently.
  • Strong analytical and problem-solving skills for working with both structured and unstructured data.
  • Excellent project management and organizational capabilities.
  • Proven ability to collaborate with cross-functional teams in a dynamic, fast-paced environment.

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