Business Intelligence Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Analyze intricate datasets to uncover trends, patterns, and opportunities for business enhancement.

• Conduct comprehensive analyses of business performance metrics and delve into the root causes of KPI fluctuations and operational discrepancies.

• Develop predictive and prescriptive analytics while recommending proactive measures.

• Collaborate with stakeholders to grasp analytical needs and convert them into data specifications for data engineering.

• Construct data-driven business cases and ROI analyses.

• Design and create interactive Power BI dashboards and reports.

• Develop governed self-service analytics solutions.

• Create executive-level scorecards.

• Employ advanced visualization techniques for non-technical audiences.

• Establish best practices and standards for enterprise visualization.

• Act as an analytics consultant for designated business units.

• Facilitate discovery sessions to uncover fundamental business questions.

• Convert business requirements into technical specifications for data engineers.

• Present findings and suggestions to leadership using storytelling methodologies.

• Build trusted advisor relationships with business executives.

• Set data quality metrics and monitoring processes in collaboration with data engineers.

• Identify and rectify data quality issues.

• Document business rules and data definitions.

• Contribute to data governance initiatives.

• Validate data pipeline outputs prior to production deployment.

• Explore statistical analysis, forecasting, and basic machine learning applications.

• Collaborate on proof-of-concept projects for new analytical capabilities.

• Research best practices in BI and emerging trends.

• Mentor business users on data literacy and self-service analytics.

• Contribute to the analytics strategy and roadmap.

• Work alongside junior, data, and senior data engineers on requirements, data models, ETL/ELT validation, and solution architecture.

⛳️ Requirements

• Bachelor's degree in Business Analytics, Information Systems, Statistics, Mathematics, Business Administration, or a related field.

• 2-4 years of experience in business intelligence, data analytics, or related analytical roles.

• Proven ability to convert complex data insights into clear business recommendations.

• Strong expertise in SQL and data visualization tools, especially Power BI.

• Experience with data warehouse/lakehouse environments and familiarity with data modeling concepts.

• Demonstrated success in forging stakeholder relationships and influencing business decisions through data.

• Exceptional presentation and storytelling abilities, capable of communicating with both technical and executive audiences.

• Critical thinking skills with the ability to challenge assumptions and pose insightful questions.

• Advanced proficiency in Power BI.

• Advanced Excel skills, including Power Query/Power Pivot.

• Advanced SQL proficiency.

• Knowledge of DAX.

• Experience with Microsoft Fabric and data lakehouses.

• Understanding of statistical analysis, basic data modeling, KPI development, and dashboard design principles.

• Basic knowledge of Python or R is advantageous.

• Preferred: Familiarity with Azure Analysis Services, Tableau, Azure DevOps for report deployment, basic machine learning concepts, forecasting techniques, A/B testing, and experience in finance, operations, sales, or supply chain.

🏝️ Benefits

• A values-driven culture.

• Opportunities for upward mobility.

• Professional development with a variety of opportunities.

• An innovative and collaborative work environment.