Data Scientist

Job not on LinkedIn

🔥 1 minute ago

🌾 Iowa – Remote

🌾 Iowa – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AgencyBloc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛡️ Insurance

🏥 Healthcare

💰 Private Equity Round on 2021-10

Insurance • Healthcare

AgencyBloc is the #1 Recommended Insurance Industry Growth Platform designed specifically for the health, benefits, and senior insurance sectors. Since its establishment in 2008, AgencyBloc has provided robust, insurance-specific solutions including an industry-tailored CRM, automated workflow management, policy management, and commissions processing. With over 6,500 customers, AgencyBloc helps organizations accelerate their growth through advanced sales enablement and efficient customer management features.

📋 Description

• Rebuild core revenue reporting, starting with the consolidated GTM book, in AgencyBloc's Databricks lakehouse • Build and maintain data pipelines from HubSpot, Sage Intacct, and other GTM systems into the lakehouse through a curated, report-ready gold layer • Migrate department-built reporting tools, such as Client Success dashboards, onto governed lakehouse data • Replace manual, credential-dependent refreshes and hand-built spreadsheets with scheduled, automated Python and SQL jobs • Reconcile lakehouse outputs against HubSpot and legacy reports deal by deal, identify omitted records, and correct logic • Run automated reports alongside existing manual processes until historical numbers align • Build data quality checks for completeness, duplicates, and schema drift, and resolve issues at the source • Build dashboards and data models for self-service GTM reporting • Support pipeline and revenue forecasting with clean data and build statistical or predictive models as the platform matures • Calculate and validate sales commissions and bonuses from system data and document payout rules • Document calculation logic for bookings, expansion, new logo, renewals, and upsells • Align metric definitions across Sales, Client Success, and FP&A • Maintain the data dictionary and follow AI and Data Governance standards for access, lineage, and documentation • Gather stakeholder requirements and select appropriate implementation approaches • Participate in commissions and revenue reviews with sales and executive leadership • Present findings and recommendations to individual contributors and executive audiences • Anticipate questions, proactively flag issues, and carry work through to completion

🎯 Requirements

• Bachelor's or master's degree in Data Science, Statistics, Computer Science, Information Systems/Management, Business Analytics, Finance, or a related field, or equivalent experience • 3+ years in a data analyst, analytics engineering, or BI role, building production reporting rather than one-off analysis • Strong SQL skills: complex joins, window functions, and query tuning against relational or lakehouse data • Working proficiency in Python for data transformation and automating recurring reports • Demonstrated experience automating manual reporting processes, with measurable time saved or errors removed • Experience reconciling data across systems and tracing discrepancies to the record level • Hands-on dashboard and data modeling experience with Databricks AI/BI, Tableau, Power BI, or similar • Clear written and verbal communication, including explaining numbers and their limits to senior leaders • Self-directed working style with the judgment to ask the right questions and carry work through without step-by-step direction • Databricks experience, including Delta Lake, Unity Catalog, Workflows/Jobs, and notebooks • HubSpot data model and reporting experience, including deals, pipelines, companies, and custom objects • Experience with ERP or billing data, such as Sage Intacct invoice detail and ARR calculations • Exposure to forecasting, statistical analysis, or predictive modeling in Python, R, or SAS • Experience with sales compensation or commission calculations • Familiarity with data governance practices, including standardized metric definitions, data dictionaries, lineage, and role-based access • Version control with Git and shell scripting for scheduled, auditable data jobs • Background in B2B SaaS, insurance, financial services, or another regulated-data environment • Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

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