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Impiricus

Manager, BI & Analytics

Reposted Yesterday
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Remote
Hiring Remotely in USA
180K-190K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in USA
180K-190K Annually
Senior level
The Director of BI & Analytics will lead data architecture, build a data lake, manage ELT/ETL pipelines, and develop enterprise reporting and models, partnering across functions to drive commercial analytics and insights.
The summary above was generated by AI

Department: Operations

Reports To: Chief of Staff, Operations

Job type: Full Time, Exempt

 

Who We Are

Impiricus is the first and only AI-powered HCP Engagement Engine. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to cut through the noise and put physician care delivery at the forefront. With our unique frontline access to HCPs, their insights, and clinical expertise, we are committed to providing life science companies with innovative channels and AI technology needed to deliver clear, reliable, and evidence-based resources into the hands of HCPs. Guided by a board of trusted physician advisors, we ensure every message leads to better patient care. Welcome to the future of ethical physician and pharma collaboration!

  

Job Summary

We’re hiring a uniquely hybrid leader—part data engineer, part analytics architect, part business strategist—to build the end-to-end data and reporting foundation that powers our commercial engine and scales to support enterprise-wide analytics needs.

This role owns the commercial data lake, ETL pipelines, and business intelligence layer that unify data across Marketing, Sales, Client Services, Product, Finance, and Operations. You will architect the infrastructure, and serve as a thought partner to leadership in defining how the business measures performance, customer behavior, retention, campaign impact, operational efficiency, and revenue execution across the entire customer lifecycle.

While the primary focus is commercial analytics and GTM data systems, this role will gradually expand into a centralized data and reporting function for the full company.


Duties/ Responsibilities:

Data Architecture

  • Collaborate with Development/Data functions to design underlying data lake for future reporting
  • Own initially commercial-facing data lake, with end goal to scale to encompass all G&A functions as well
  • Build ELT/ETL pipelines from:
    • CRM (pipeline, accounts, touches)
    • Marketing systems (campaigns, spend, attribution)
    • Product usage data / engagement logs
    • Finance systems (billing, revenue, churn)
    • Other
  • Define data governance, standards, and data model structures (star schemas, SCD, fact/dim tables, etc.).
  • Ensure data reliability, accuracy, and consistency across all downstream systems.

Analytics & Insights

  • Develop reporting and models for:
    • Pipeline & funnel health
    • Marketing performance & ROI
    • NRR/GRR
    • Forecasting (revenue, pipeline, user growth, churn risk)
  • Identify leading indicators of commercial performance and operational bottlenecks.

Enterprise Reporting & BI Automation

  • Eliminate manual reporting by standing up automated BI pipelines.
  • Own the BI stack (e.g., Tableau / Looker / PowerBI).
  • Implement scalable metric definitions, data dictionaries, self-serve data models, and governance.

Cross-Functional Leadership

  • Partner with Marketing, Sales, CS, Product, Finance, and Executive teams.
  • Translate business requirements → data models → dashboards → insights.
  • Build a Commercial Analytics roadmap that evolves with the business.
  • Hire and scale a small analytics & BI team as the company grows.

Experience:

  • 5+ years in Commercial Analytics, Revenue Analytics, Data Engineering, Business Intelligence, or Strategy & Ops roles.
  • Hands-on experience building data lakes/warehouses and ETL/ELT pipelines (Python, SQL/PostgreSQL, dbt, Airflow, Fivetran, Databricks, Snowflake).
  • Deep understanding of commercial metrics:
  • Strong finance literacy (bookings, billings, revenue recognition preferred).
  • Proven ability to partner with GTM and Product teams to operationalize insights.
  • Experience architecting end-to-end data systems integrating marketing, sales, product, and financial data.

 

The base salary range for this role is $140,000 - $155,000

Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth.


Benefits:

Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being.

 Healthcare: Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge
 HSA, FSA & DCFSA: Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan)
 Coverage & Protection: 100% paid short- and long-term disability, plus life and AD&D insurance
 Flexible Time Off: Take the time you need with a flexible vacation policy — recharge your batteries your way
 Parental Leave: 12 weeks of paid leave to spend time with your newborn, adopted, or foster child (available after 6 months)
 Your Work, Your Way: If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option.
 Home Office Setup: We’ll ship you the gear you need to create a comfortable workspace at home.
 401(k): Save for your future with tax advantages (and company match!)


Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Top Skills

Airflow
Databricks
Dbt
Fivetran
Looker
Postgres
Power BI
Python
Snowflake
SQL
Tableau

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