Senior Business Intelligence Analyst

GreenStone Farm Credit Services

$80K — $95K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, or related fields
  • Minimum 2 years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python, DAX, and Microsoft Power Platform
  • Familiarity with Databricks or similar cloud-based analytics platforms
  • Strong communication skills to convey complex data insights
  • Experience with Agile and SAFe methodologies
  • Microsoft Certified: Power BI Data Analyst Associate or a similar certification preferred

Responsibilities

  • Analyze data to uncover trends and insights that aid business goals
  • Translate business questions into actionable metrics and analytical strategies
  • Deliver clear, data-driven recommendations to stakeholders
  • Utilize Power Platform tools to automate reporting and data processes
  • Design and maintain intuitive Power BI dashboards and reports
  • Develop accurate DAX measures for reliable reporting
  • Validates data integrity and collaborates on resolving quality issues

Benefits

  • Collaborative and innovative work culture
  • Opportunity to work with modern BI tools and cloud-based platforms
  • Participation in Agile and SAFe methodologies
  • Focus on data governance and quality assurance
  • Continuous learning and professional development opportunities
Full Job Description
GreenStone Farm Credit Services is seeking a Business Intelligence (BI) Analyst to join our Data & Analytics team. This role is essential in transforming organizational data into meaningful insights that drive strategic and operational decision-making. The BI Analyst partners closely with business units and technology teams to design, develop, and maintain high-quality reporting, dashboards, and analytical solutions.

This position also plays a key role in promoting consistent data usage, supporting data governance practices, and ensuring the confidentiality, integrity, and availability of sensitive information. The ideal candidate is analytical, collaborative, and passionate about enabling data-driven decision making across the organization.

Key Responsibilities

Data Analysis & Insights
  • Analyze data to identify trends, patterns, and actionable insights that support business objectives
  • Translate business questions into meaningful metrics and analytical approaches
  • Provide clear, concise, data-driven recommendations to stakeholders
  • Use Power Platform tools to automate reporting, processes, and data delivery


Reporting & Visualization

  • Design, build, and maintain Power BI dashboards, reports, and semantic models
  • Develop and optimize DAX measures to ensure accuracy and consistency
  • Ensure reporting solutions are intuitive, well-documented, and aligned with business definitions
  • Continuously enhance reporting based on stakeholder feedback and evolving needs


Data Preparation & Quality
  • Use SQL, Python, and Databricks to access, prepare, and analyze curated data sets in the Gold reporting layer
  • Validate data accuracy, completeness, and consistency across BI solutions
  • Identify data quality issues and collaborate with data engineering teams to resolve root causes
  • Document metric definitions, assumptions, and data usage to support transparency and trust


Collaboration, Delivery & Governance
  • Partner with business and technology stakeholders to gather requirements and deliver BI solutions
  • Participate in Agile and SAFe ceremonies, contributing to planning and continuous improvement
  • Communicate effectively with both technical and non-technical audiences
  • Ensure the confidentiality, integrity, and availability of customer-sensitive and business-critical data


Qualifications

  • Bachelor's degree required; preferred fields include Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, or related areas
  • Minimum 2 years of experience in data analysis, business intelligence, or a similar role is required
  • Proficiency in SQL, Python, DAX, and the Microsoft Power Platform
  • Experience with Databricks or similar cloud-based analytics platforms preferred
  • Strong communication skills with the ability to translate complex data into clear insights
  • Familiarity with Agile and SAFe methodologies
  • Microsoft Certified: Power BI Data Analyst Associate or similar certification preferred


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