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Dawar Consulting, Inc.

Data Visualization & Power BI Consultant (Fully Remote)

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Fully RemoteData & AIUnited States

Salary

$960–$1k

Posted

2h ago

Source

himalayas

TechnologyPower BI DevelopmentData VisualizationBusiness IntelligenceDashboard Development

This is a remote position.

Our client, a world leader in biotechnology and life sciences, is seeking a "Data Visualization & Power BI Consultant (Fully Remote)".

Duration:Long-Term Contract (Possibility Of Further Extension)

Pay Rate: $80-$87/hr on W2

Company Benefits:Medical, Dental, Vision, Paid Sick Leave, 401K

Job Summary:

You will be Partnering with enterprise teams to design, build, and enhance executive‑level dashboards supporting AI and business performance. This role blends hands‑on Power BI development with stakeholder engagement to create scalable, intuitive reporting experiences.

Key Responsibilities:

  • Build Power BI dashboards from structured/semi‑structured data
  • Develop scalable data models, DAX, Power Query, and optimized visuals
  • Iterate quickly based on stakeholder feedback
  • Define KPIs, metrics, and dashboard narratives
  • Create reusable templates, standards, and governance practices

Qualifications/Skills:

  • 5+ years Power BI dashboard development for business/executive audiences
  • Strong skills in data modeling, DAX, Power Query, and performance tuning
  • Experience designing tiered/role‑based reporting and drill‑through navigation
  • Ability to translate business questions into clear KPIs and insights
  • Experience with structured/semi‑structured data (Excel, enterprise systems)
  • Strong stakeholder engagement; able to work independently in fast‑paced environments
  • Experience with AI, transformation, or enterprise reporting preferred

If interested, please share your updated resume at hr@dawarconsulting.com/lakshmi@dawarconsulting.com

Salary in context

This salary range is below the typical band for remote Data & AI roles — comparable roles on RemoteTide top out closer to $131k.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

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