Data Analyst

2 weeks ago

Noida, Uttar Pradesh, India Mintworxs Full time US$ 90,000 - US$ 1,20,000 per year

We are seeking a Data Analyst with strong Power BI expertise and experience working across both modern and legacy analytics platforms. You will create analytical solutions, enable business self-service capabilities, and support the transition from legacy systems (Excel, SSRS, OLAP Cubes) to the Microsoft Fabric ecosystem. This role combines reporting, ad-hoc analysis, data investigation, and user enablementwhile collaborating closely with Data Engineers and Platform Engineers to deliver reliable, high-quality insights.

Key Responsibilities

1. Reporting & Analysis

  • Develop and enhance Power BI dashboards, including new filters, performance optimisations, and UX improvements.
  • Perform ad-hoc analysis to answer business questions across multiple data sources.
  • Maintain and optimise existing reports in Excel, SSRS, and Power BI.
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities.
  • Support end-of-month finance processes and EDW/IDW operations.

2. Data Investigation & Quality

  • Investigate and resolve data quality issues using systematic "is/is not" root cause analysis.
  • Collaborate with engineering teams to identify, document, and resolve discrepancies.
  • Validate data accuracy across both Fabric and legacy systems.
  • Provide business users with clarity on data definitions, limitations, and correct usage.

3. Self-Service Enablement & Training

  • Empower business teams to access data independently via self-service tools.
  • Provide training and documentation for Power BI and related Fabric capabilities.
  • Guide tool selection (Excel, Power BI, or other Fabric tools) based on requirements.
  • Assist in gathering business requirements for vendor-delivered solutions and validate outputs.

4. Business Insights & Strategic Support

  • Analyse performance metrics to identify improvement opportunities.
  • Support strategic initiatives with predictive modelling and forecasting (where applicable).
  • Present actionable insights and recommendations to stakeholders.
  • Provide data-driven input for business cases and investment decisions.

Essential Skills & Experience

  • 2+ years in business intelligence or data analysis roles.
  • Advanced Power BI skills (dashboard creation, DAX, data modelling, troubleshooting).
  • Strong SQL skills for querying and analysis (Fabric & SQL Server).
  • Experience with legacy systems: Excel/VBA, SSRS, OLAP Cubes.
  • Systematic problem-solving approach ("is/is not" methodology).
  • Strong communication skills to explain technical issues and guide tool adoption.
  • Proven experience supporting migrations from legacy to modern analytics platforms.

Preferred Skills

  • Microsoft certifications (PL-300, DP-600).
  • Experience with Python, R, or similar analytical languages.
  • Background in finance, operations, or commercial analysis.
  • Familiarity with Microsoft Fabric notebooks or Jupyter notebooks.
  • Statistical analysis or data science knowledge.
  • Experience training business users on analytics tools.

Ways of Working

  • Agile/Scrum environment with flexibility for BAU priorities.

  • Close collaboration within a three-role squad:

  • Data Platform Engineer – platform governance & vendor oversight

  • Data Engineer – data pipelines & gold tables

  • Data Analyst – business insights & self-service enablement

  • Hybrid technology environment (modern cloud + on-premises systems).

  • Strong vendor coordination responsibilities for data product delivery.

Success Metrics

  • Improved platform performance and cost optimisation.
  • High data quality and reliability across reports.
  • Increased adoption of self-service analytics.
  • On-time, standards-compliant vendor project delivery.
  • Measurable progress in migrating users from legacy to modern tools.

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