Senior Power BI & Data Analyst

Network Wireless Solutions • Remote, OR

1d

About The Position

The Senior Power BI & Data Analyst transforms complex commercial, operational and financial data into actionable insights that support strategic decisions, revenue growth, profitability and operational efficiency. The role combines enterprise Power BI development with statistical modeling, predictive analytics, forecasting, data governance and executive-level business partnering.

The analyst develops and maintains enterprise dashboards, reports and semantic models; applies statistical and predictive methods; and analyzes sales, revenue, procurement, inventory, supply chain and financial performance. The role also supports data integration, quality, governance and automation, and presents findings and recommendations to executive stakeholders. The position is a senior individual-contributor role in the Data Analytics / Business Intelligence department and reports to the VP of Data Analytics.

The successful candidate helps move the organization beyond historical reporting by explaining performance drivers, anticipating future outcomes and recommending measurable improvements in growth, margins, working capital and operational effectiveness. The position contributes to establishing a reliable, scalable, data-driven decision-making culture.

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Finance, Economics or a related quantitative field.
• 7+ years in analytics or business intelligence.
• 5+ years of advanced Power BI experience.
• 3+ years of statistical modeling, forecasting or predictive analytics experience.
• Experience with large datasets, executive reporting and ERP/CRM systems.
• Advanced Power BI, DAX, Power Query (M), semantic modeling, star schemas, security and performance tuning.
• Advanced SQL, including joins, CTEs, window functions and query optimization.
• Python or R experience with statistical libraries such as pandas, NumPy, SciPy, statsmodels or scikit-learn.
• Knowledge of regression, hypothesis testing, time-series forecasting, clustering, model validation and statistical communication.
• Advanced Excel, ETL/ELT, relational databases and data warehousing.
• Business and financial acumen, analytical judgment and critical-thinking skills.
• Executive communication, stakeholder collaboration and concise data storytelling.
• Attention to data integrity, ownership, prioritization and mentoring.

Nice To Haves

• Master's degree in a quantitative field.
• Distribution, telecommunications or digital infrastructure experience.
• Experience with Microsoft Fabric, Azure SQL, Azure Data Factory or related Azure services.
• Experience with Snowflake, Databricks, Dynamics 365, Salesforce, SAP or Oracle.
• Experience with Git, machine learning workflows and AI-assisted analytics.

Responsibilities

• Design and maintain enterprise Power BI dashboards, reports and semantic models.
• Build advanced DAX measures, Power Query transformations and dimensional models.
• Integrate ERP, CRM, finance and supply chain data; implement row-level security and refresh monitoring.
• Optimize report performance, standardize KPI definitions and enable governed self-service analytics.
• Apply regression, hypothesis testing, multivariate analysis, segmentation and clustering.
• Build time-series and predictive models for revenue, customer demand, inventory and profitability.
• Use Python or R to evaluate assumptions, confidence intervals, model accuracy and limitations.
• Conduct sensitivity, scenario and what-if analyses and translate results into business actions.
• Analyze direct and indirect channel performance, bookings, pipeline, gross margin and retention.
• Develop sales forecasts, customer profitability and lifetime-value models.
• Evaluate pricing elasticity, discounting, margin leakage and cross-sell opportunities.
• Model inventory demand, turnover, stockouts, obsolete stock and working capital.
• Develop supplier scorecards, purchasing trends and fulfillment performance analysis.
• Identify opportunities to improve procurement efficiency and inventory positioning.
• Analyze revenue, gross profit, expenses and budget-to-actual variances.
• Develop profitability reporting by customer, product, supplier, channel and business unit.
• Partner with Finance on reconciliation, forecasts and scenario planning.
• Write complex SQL and support ETL/ELT, data warehouse and lakehouse integrations.
• Implement validation, reconciliation, documentation and master-data quality controls.
• Collaborate with IT on reliable, secure and scalable data architecture.
• Present analytical findings, risks and recommendations to executive stakeholders.
• Automate repetitive reporting and build reusable models and templates.
• Mentor analysts and business users on Power BI and analytical best practices.
• Produce executive performance dashboards and standardized KPI reporting.
• Deliver sales, revenue, customer demand and inventory forecasting models.
• Provide customer, product, channel and supplier profitability analytics.
• Conduct pricing and margin optimization analysis.
• Document data definitions, statistical methods and model validations, and develop automated reporting solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior