Job Description We’re seeking a data-driven analyst to own analytics and dashboarding for our Direct-to-Home (D2H) program. You’ll transform sales, recruiting, and operations data into clear insights that drive weekly decisions, optimize rep performance, and inform forecasting. The ideal candidate pairs strong SQL/Python skills with business sense and crisp communication. Essential Duties and Responsibilities Build & maintain BI assets: Design, publish, and iterate executive-ready dashboards in DOMO, Tableau, or Power BI for pipeline, production, retention, and efficiency KPIs. Own data quality & reliability: Create robust queries, views, and checks to ensure accuracy, freshness, and consistency across sources. Analyze performance: Deliver recurring and ad-hoc analyses on rep performance, team comparisons, channel effectiveness, seasonality, and incentive competitions. Forecast & plan: Support weekly and seasonal forecasts. ETL & automation: Develop repeatable data pipelines (SQL, Python) to ingest, clean, and transform data from CRM/ops systems and spreadsheets. Experimentation & insights: quantify impact of training, incentives, and operational changes. Stakeholder enablement: Translate complex findings into clear narratives, visuals, and action items for Sales Leadership and Field Ops. Data governance: Help define metrics, calculation logic, and source-of-truth tables; document data lineage and definitions. Qualifications Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Finance, or related). 1–3 years in an analytics role supporting sales, revenue operations, or business operations (D2D/D2H field sales a plus). SQL : Joins, CTEs, window functions, performance-aware querying across large datasets. Python (intermediate): pandas/NumPy for data wrangling; scheduling/automation familiarity. BI tools: Experience with DOMO, Tableau, or Microsoft Power Expert proficiency with Excel/Google Sheets (nested formulas, pivots, data cleaning). Clear communicator who can present trade-offs, limitations, and recommendations to non-technical audiences. Basic statistics (A/B testing, regression, confidence intervals). Exposure to CRM/operational data (e.g., Salesforce, HubSpot, custom field apps) and cloud data warehouses (Azure, Snowflake or SQL Server). Compliance Considerations ADA Accommodations: Reasonable accommodation will be provided to enable individuals with disabilities to perform essential functions. Regulatory Requirements: Must comply with applicable state and federal employment laws. Familiarity with pest control licensing and insurance documentation processes is beneficial. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to sit, talk, and listen. Occasionally required to lift up to 25 pounds. Must be able to use a computer and phone for extended periods. Work Environment Office-based role located in Orem, UT. Hybrid schedule may be available (up to 2 days/week remote) after 90 days in the position. Fast-paced, collaborative, and service-oriented team culture. #J-18808-Ljbffr