Analyst – Tableau Reporting & Analytics

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Analyst – Tableau Reporting & Analytics

Location: Mohali (Office)

Shift: Night Shift (Preferred) or overlap till 11:00 PM IST



Role Overview:

Analytics Professional



Key Responsibilities:

  • Design, develop, and maintain Tableau dashboards and reports linked with PMS data sources.
  • Define and create reporting templates that automatically refresh data and summaries upon updates.
  • Collaborate with internal teams and clients to understand reporting requirements and translate them into actionable Tableau visualizations.
  • Perform data validation and ensure accuracy of reports and dashboards.
  • Provide insights and data-driven recommendations through comprehensive analytics.
  • Present dashboards and explain analytical outcomes to clients in a clear and professional manner.
  • Continuously enhance reporting efficiency and visual storytelling within Tableau.



Required Skills and Experience:

  • 3+ years of hands-on experience with Tableau

    , including dashboard creation, data blending, and calculated fields.
  • Strong proficiency in

    data visualization, data modeling, and data interpretation

    .
  • Good understanding of

    data structures

    and ability to connect Tableau with external databases and PMS systems.
  • Excellent

    communication and client interaction

    skills – able to gather requirements and explain insights effectively.
  • Ability to work independently with minimal supervision and handle multiple reporting needs simultaneously.
  • Willingness to work in the

    night shift (preferred)

    or at least an

    overlap shift till 11:00 PM IST

    .



Preferred Qualifications (Good to Have):

  • Prior experience in

    Revenue Cycle Management (RCM)

    or healthcare analytics.
  • Strong understanding of

    financial metrics, AR trends, claim analytics

    , and performance reporting.
  • Experience with SQL or other database query tools for backend data extraction.

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