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Role Description

Business Intelligence Analyst – Financial Planning & Analysis will develop and apply mathematical and statistical theory and methods to find innovative ways to increase sales, reduce expenses and drive business decisions.

• Use statistical, analytical and technical skills to assist the Finance Team with key financial processes such as budgeting and quarterly forecasting.
• Leverage advanced technical and business expertise to collect, analyze, and interpret financial and operational data, delivering actionable insights to inform business decisions and drive organizational performance.
• Provide cross-functional financial analysis and collaborate with various teams to drive cost optimization and improve outcomes across the organization.
• Create, optimize, and maintain data models, queries, dashboards and reports using business intelligence tools and SQL to ensure effective data visualization and analysis.
• Build and maintain reports specifically required for high-level business decision meetings.
• Report results of statistical analysis, metrics and overall business performance visualized through PowerBI using charts, graphs, and other methods to clearly communicate to management and peers.
• Verify and integrate software applications to ensure data alignment with data warehouse.
• Collaborate with Information Technology team to drive continuous enhancements of data warehouse, ensuring high availability, scalability, accuracy and reporting.
• Report analytical findings and drive data transformation initiatives.
• Position may allow working from home within a commuting distance of worksite location.

Qualifications

• Requires a Master’s degree or foreign equivalent in Computer Science, Data Analysis, or a related field plus four (4) years of experience as a data scientist, advisor – data analytics, or related.
• Must possess four (4) years of experience with each of the following:
• (a) conducting statistical analysis based scripting with R, Python and SQL;
• (b) Preparing data using Power Query, visualizing data using Power BI and applying DAX for advanced data modeling and KPI development;
• (c) managing databases with Microsoft SQL Server;
• (d) managing with Jira and Confluence;
• (e) Automating reporting processes and improving efficiency through ETL and data warehousing methodologies, with expertise in scaling data storage and processing via cloud-based data lake architectures on platforms like SNOWFLAKE and AWS;
• (f) integrating machine learning techniques for descriptive, predictive and prescriptive statistical analysis using algorithms such as K-Nearest Neighbors, K-Means Clustering, Deep Learning and Time Series Data Analysis.
• Position may allow working from home within a commuting distance of worksite location.

Benefits

• Health, dental & vision insurance
• Life insurance
• Disability insurance
• 401K
• Bonus eligible
• Paid parental leave
• Paid vacation & sick time
• Employee stock purchase program
• Employee discount on merchandise