Commercial BI Partner: Transform Data into Growth

Elanco Tiergesundheit AG; Indianapolis (IN); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Relocation packages

Two weeklong shutdowns (US)

8-week parental leave

9 Employee Resource Groups

Annual bonus offering

Flexible work arrangements

401K matching

Job summary

Elanco is seeking a Commercial Business Intelligence Partner to join the Enterprise Data & Analytics team. You will transform complex commercial data into actionable insights, using Tableau, Databricks, and SQL, while collaborating with commercial stakeholders to translate questions into scalable data solutions.

Responsibilities include building dashboards, partnering with cross-functional leaders, and supporting data maturity initiatives to enable broader self-service analytics across the

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Minimum of 5 years in business intelligence, data engineering, or analytics.
• Strong Tableau expertise with SQL and large dataset analysis; experience with Databricks is a plus.

Responsibilities

• Analyze, transform, and model large-scale commercial datasets using SQL and Databricks.
• Design and deploy executive dashboards in Tableau and Power BI to track KPIs and sales performance.
• Partner with cross-functional leaders to translate business questions into data analyses and actionable insights.
• Support data maturity initiatives and expand self-service analytics across business units.

Skills

Tableau

Power BI

Education

Bachelor's degree in a quantitative field

Tools

Databricks

SQL

Tableau

Power BI

Job description

Elanco is seeking a Commercial Business Intelligence Partner to join the Enterprise Data & Analytics team. You will transform complex commercial data into actionable insights, using Tableau, Databricks, and SQL, while collaborating with commercial stakeholders to translate questions into scalable data solutions.

Responsibilities include building dashboards, partnering with cross-functional leaders, and supporting data maturity initiatives to enable broader self-service analytics across the