Data Analyst

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About the Role:

Data Analyst

Key Responsibilities:

• Design, develop, and maintain

  interactive Power BI dashboards and reports

  that effectively communicate insights and trends to stakeholders.
• Perform

  data cleaning, transformation, and modeling

  using Power Query and DAX to ensure high-quality, reliable reporting.
• Build and maintain efficient

  data models (star schema)

  to support performance and scalability in Power BI.
• Utilize

  Advanced Excel

  for data preparation, formula-based analysis, and workflow automation.
• Connect and manage data sources including

  Excel, SharePoint, SQL databases, and web APIs

  .
• Manage

  data refresh schedules

  , workspaces, and permissions in the

  Power BI Service

  environment.
• Troubleshoot data inconsistencies and create

  logical data transformation flows

  for complex datasets.
• Collaborate with business teams to gather requirements and translate them into technical specifications and reports.
• (Highly Desirable) Use

  SQL

  for querying, extracting, and optimizing data for analytics.
• (Optional but Valued) Leverage

  Python (Pandas, NumPy)

  for data manipulation, automation, and predictive analytics.
• Contribute to continuous improvement initiatives and recommend

  process automation

  where possible.

Required Skills & Competencies:

• Proficiency in Power Query

  for data transformation, integration, and automation.

• Strong understanding of data modeling fundamentals

  — including relationships, measures, and hierarchies.

• Intermediate DAX skills

  (CALCULATE, time intelligence, filter context).

• Expert-level Excel skills

  , including advanced formulas, pivot tables, and data validation.
• Hands-on experience with

  Power BI ecosystem

  (Power BI Desktop, Service, and Gateway).

• SQL proficiency

  for data extraction, joins, aggregations, and optimization.
• Strong

  analytical and problem-solving skills

  with attention to data accuracy.
• Excellent

  communication and collaboration skills

  with the ability to explain insights clearly to non-technical stakeholders.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Statistics, Data Analytics, or a related field.
• 2+ years of professional experience in data analysis, business intelligence, or a similar role.
• Experience working with US-based stakeholders or clients (preferred).