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# Data Analytics & BI Senior Specialist

- **Company:** ONTRAC, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $84,000 - $126,000
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Information Engineering, Database Queries, Operational Data Store, Power BI, System Availability, Data Analytics, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5e8c242afc362305

## About the Role

Are you eager to join a dynamic and expanding company where you can both learn and make a meaningful impact? If you possess a strong sense of empathy, enjoy assisting others, thrive in a fast-paced environment, and excel at problem-solving, we encourage you to apply today to connect with a recruiter!, * 5+ years of experience in analytics, business intelligence, or operations analysis within warehouse fulfillment, logistics, supply chain, e-commerce, or a similar environment

 * Expert-level ability to build insights-driven dashboards in Power BI or similar BI tools using large, complex datasets
 * Strong experience with data modeling and KPI design
 * Strong SQL skills, including the ability to extract, validate, and interpret operational data
 * Strong stakeholder management skills, including the ability to influence Operations leaders and communicate across business stakeholders, Data Engineering, and Product teams through clear analysis and storytelling
 * Familiarity with warehouse systems and operational event data, including WMS scan events, exception codes, labor tracking, and station performance
 * Experience supporting multi-site performance reviews and standardizing KPIs across a network
 * It is the responsibility of every position to understand and adhere to the security guidelines outlined in OnTrac's Acceptable Use policy and to conduct their activities accordingly.

## Description

The Data Analytics & BI Senior Specialist leads the development of clear, trustworthy reporting and visualizations for the Operations organization. This role owns how field performance is measured and communicated, from frontline operators to the executive team, as well as externally to customers. You will partner closely with Operations, Quality, Loss Prevention, Customer Experience, Product, Engineering, and Data Analytics teams to identify what is happening, understand why it is happening, and determine what actions should follow. Success requires strong analytical judgment, independent ownership, reliable reporting foundations, and clear data storytelling in a fast-paced, evolving environment., A summary of key responsibilities for the role is outlined below. Additional duties may be assigned as needed to support business objectives.

 * Dashboard development & reporting ownership: Build, maintain, and monitor standardized, user-friendly Power BI dashboards and reports across sites and functions, using clear definitions and consistent reporting logic.
 * KPI design & operational insights: Translate operational goals into actionable KPIs and visualizations that support decision-making at both the site and network levels.
 * Data visibility & cross-functional partnership: Partner with cross-functional teams to identify, scope, and address gaps in data visibility.
 * Data requirements & business alignment: Work with Product and Engineering teams to ensure the organization collects the data required to support business objectives.
 * Data pipeline partnership & optimization: Collaborate with Data Engineering and Analytics teams to design, optimize, and maintain data pipelines that support data availability, accuracy, and efficiency.
 * Reporting governance & trusted metrics: Establish reporting best practices through standardized metric definitions, documentation, and governance, creating a trusted single source of truth.

Paving your way to your success:

 * You bring a passion for data and its ability to create meaningful business value.
 * You are highly curious and eager to investigate complex operational problems.
 * You are self-driven, proactive, and comfortable operating with ownership and ambiguity.
 * You influence Operations leaders and communicate effectively across business stakeholders, Data Engineering, and Product teams through clear analysis and storytelling.
 * You stay close to the business, build high-trust reporting, and use data to drive real-world operational improvements.