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Data Analyst (Sharepoint)

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Hybrid

Data Analyst (Sharepoint)

Kiya.ai

Data Analyst (Sharepoint)

Skills

SQL QueriesData AnalysisPower BI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,100,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Hybrid

Published on:

17 August 2026

What they need


Dear Candidates,

We are hiring Data analyst (Share point) for our Investment banking client in Mumbai.

Experience : 5-7 years

Profiles having no share point experience would not be taken ahead.

Direct Responsibilities

SharePoint SE Development & Administration

  • Design, configure, and maintain SharePoint SE sites, lists, libraries, pages, and collaboration spaces.
  • Build SharePoint-based solutions to support team workflows, document organization, reporting access, and business operations.
  • Configure permissions, views, metadata, content types, navigation, and document management features.
  • Create SharePoint pages and dashboards that centralize key reports, documentation, links, and operational information.
  • Support SharePoint modernization, clean-up, enhancement, and migration activities.
  • Ensure SharePoint solutions are user-friendly, scalable, well-structured, and aligned with business needs.

Data Analysis & Reporting

  • Collect, prepare, analyze, and validate data from multiple business and operational sources.
  • Translate business questions into meaningful analysis, reports, dashboards, and insight packs.
  • Develop recurring and ad-hoc reporting for management, operational teams, and project stakeholders.
  • Identify trends, anomalies, and improvement opportunities through structured data analysis.
  • Prepare clear, concise reporting outputs for senior stakeholders, including summaries, visuals, and commentary.
  • Maintain reporting documentation, including data sources, transformation logic, assumptions, and refresh schedules.

Power BI Dashboarding & Business Intelligence

  • Design, develop, and maintain interactive Power BI dashboards and reports.
  • Build clear data models, measures, calculations, and KPIs using Power Query and DAX.
  • Connect Power BI to multiple data sources, including Excel, SharePoint lists, SQL databases, and other structured datasets.
  • Optimize reports for usability, performance, clarity, and stakeholder adoption.
  • Create dashboard pages tailored to different audiences, including management views, operational views, and detailed analytical views.
  • Support report testing, validation, deployment, access management, and ongoing enhancements.

If anyone is looking for change and interested to apply for the same . kindly share your resumes to [email protected]

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