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Business Support Analyst- 6 Months

1 years

0 Lacs

bengaluru karnataka india

Posted:5 days ago| Platform: Linkedin logo

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Skills Required

support data automate reporting drive analytics duration design reports extract etl excel power mathematics engineering statistics dashboarding tableau communication collaboration scripting automation python perl database

Work Mode

On-site

Job Type

Contractual

Job Description

Business Analyst

Product Managers


Duration : 6 Months


Key Responsibilities:


  • Design and manage data pipelines and structures in

    Redshift

    , ensuring efficient data transformation and loading processes.
  • Own the

    production and automation

    of dashboards and analytics reports used for decision-making by cross-functional teams.
  • Extract, transform, and load (ETL) data into optimized formats for reporting and analysis.
  • Troubleshoot and debug issues in data workflows and reports to ensure accuracy and timely delivery.
  • Collaborate with Product, Ops, and Tech teams to gather requirements, provide insights, and drive alignment on reporting needs.
  • Publish automated, high-quality dashboards using

    Excel, Power BI, Tableau

    , or similar tools.


Basic Qualifications:

  • Bachelor’s degree in Mathematics, Engineering, Statistics, Computer Science, or a related quantitative field.
  • 1+ years of experience working with large-scale, complex datasets in a business analytics or BI role.
  • Hands-on experience with

    data warehousing

    ,

    SQL

    , and reporting automation.
  • Proficiency in dashboarding tools such as

    Tableau, Power BI, Excel, or Power Pivot

    .
  • Strong analytical, communication, and collaboration skills.
  • Proven ability to manage multiple priorities in a fast-paced environment.


Preferred Qualifications:

  • Experience with scripting languages for automation (e.g.,

    Python, VBScript, Perl, or Ruby

    ).
  • Familiarity with

    database migration

    and

    administration

    is a plus.
  • Ability to simplify complex data into actionable insights and drive process improvements.

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