Data Engineer IV

You will serve as the analytical backbone behind scaling a planning and reporting function for our client’s SMB and Emerging Mid-Market segments. Your work involves building and maintaining funnel-driven models, reconciling data across systems, and performing SQL and modeling tasks that turn raw data into trusted plans for leadership. You will support the transition from reactive reporting to a forward-looking planning engine.

• Build and maintain bottoms-up, driver-based funnel models (Inputs ? SQL ? SQO ? Wins) for SMB/EMM channels
• Support creation of lever-driven planning models with variable assumptions for volume, conversion rate, and ARPC, including scenario testing
• Track conversion rates and unit economics at channel and segment levels (Start?SQL, SQL?Win, Start?Win CVR; Units; ARPC/AOV; ARR)
• Write and maintain SQL queries against the sales data warehouse to validate and reconcile booking, pipeline, and forecast data
• Own or co-own recurring reports, dashboards, and data packs used by leadership and Finance to compare planned versus actual results
• Investigate variances, identify root causes, and create clear, actionable summaries
• Reconcile figures across planning artifacts into a consolidated, accurate figure
• Support weekly, monthly, and quarterly planning and business review activities, including data prep, report building, and tracking follow-up actions
• Maintain data integrity in planning systems and flag issues proactively, ensuring accurate hierarchy and assumptions

• 5+ years in sales, business, revenue operations, FP&A, or related analytics role, ideally in SaaS or technology
• Fluency in working with Claude (e.g., Claude Code, Cowork, or similar) for data analysis, modeling, and workflow automation
• Strong SQL skills — capable of writing and troubleshooting queries independently in data warehouses like Databricks or Snowflake
• Advanced Excel/Google Sheets modeling skills for building and auditing driver-based models
• Experience with BI tools (Tableau, Power BI, or similar) for dashboarding and reporting
• Attention to detail and commitment to data integrity
• Clear, structured communication to translate data outputs into actionable summaries
• Strong business judgment to interpret analysis within the context of evolving priorities and imperfect data

Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.