Hatch Pros
Business Data Analyst - Power BI & SQL
Hatch ProsUnited States10 hours ago
ContractInformation Technology
Start Date: Nov 17th

Contract: 4-Months

Linkedin profile required

We’re seeking an experienced Data Analyst with a strong background in banking to design, build, and optimize data models and analytics solutions. The ideal candidate has hands-on experience with SQL, data warehousing, ETL, and Power BI, and is passionate about turning complex data into clear, actionable insights that drive business decisions.

Key Responsibilities

  • Design, develop, and maintain data models and schemas to support BI and analytics initiatives.
  • Use SQL to query, transform, and optimize large datasets for reporting and analysis.
  • Build and enhance Power BI dashboards and reports, applying UX and visualization best practices.
  • Develop and manage ETL processes to ensure data integrity and consistency across systems.
  • Collaborate with stakeholders to gather requirements, define KPIs, and deliver meaningful insights.
  • Apply data warehousing concepts (dimensional modeling, star/snowflake schemas) to structure data efficiently.
  • Partner with data engineers and analysts to ensure smooth integration and reporting workflows.
  • Identify and resolve data quality issues and drive continuous process improvement.

Required Skills & Experience

  • Banking industry experience is required.
  • Strong SQL proficiency with proven experience in data modeling and schema design.
  • Deep understanding of data warehousing concepts (star/snowflake schemas, dimensional modeling).
  • Hands-on experience developing Power BI dashboards and visual analytics.
  • Solid ETL experience (Alteryx preferred but not required).
  • Proven ability to manipulate and optimize large datasets for analytics.
  • Strong communication skills for stakeholder engagement and presentations.
  • Excellent analytical and problem-solving abilities with attention to detail.

Preferred Qualifications

  • Experience working in cross-functional data environments.
  • Familiarity with other data visualization or ETL tools.
  • Background in business analysis, data engineering, or analytics consulting.

Key Skills

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