> Markdown version of [/jobs/ext/3992583-business-intelligence-analyst](https://www.wearedevelopers.com/jobs/ext/3992583-business-intelligence-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Intelligence Analyst

- **Company:** Xceleration Partners LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Data Analysis, Confluence, JIRA, Software as a Service, Cloud Storage, Data Dictionary, Extract Transform Load (ETL), Python (Programming Language), Power BI, Microsoft Copilot, SQL Databases, SQL Server Integration Services, Tableau (Software), Transact-SQL, Sql Optimization, Large Language Models, Snowflake, Data Layers, Git Flow, Claude, Looker Analytics, GPT
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=98c820b83e5d1f8c

## About the Role

* Proactive ownership. You find the question before it's asked, turn a vague business need into a spec and a shipped result, and drive the work to done. Clear written and verbal communication with non-technical stakeholders is a given. We're hiring a builder, not an order-taker.
 * 3-5 years in business intelligence, analytics engineering, or data analysis, ideally in a SaaS or B2B platform environment.
 * Advanced SQL (T-SQL required; columnar engines such as DuckDB or Snowflake a plus) and solid data-modeling fundamentals.
 * Production experience in at least one modern BI tool - Sisense, Power BI, Tableau, or Looker - including semantic-layer design.
 * Working Python for analysis and automation (pandas or similar) and comfort with Git-based workflows.
 * Daily, hands-on use of AI assistants (Claude, ChatGPT, Copilot, or similar) in analytics work, with the judgment to catch when they're wrong.

Nice to have

 * dbt or similar transformation frameworks; ELT patterns on cloud storage (S3) or a cloud warehouse.
 * DuckDB / MotherDuck, and exposure to MCP-based or agentic data tooling.
 * SSIS or legacy ETL experience, useful for migration work.
 * Jira / Confluence; experience in employee recognition, incentives, or HR tech.

## Description

* Model the data. Design and maintain data models and semantic layers (star schemas, metric definitions) that make program data reliable and reusable across reports.
 * Build the pipelines. Build, version, and document SQL transformations; implement automated data-quality checks and own fixes when something breaks.
 * Ship the dashboards. Develop and maintain client-facing and internal dashboards in our BI platform; standardize KPIs for participation, engagement, redemption, and program ROI.
 * Work AI-first. Use LLM tools and AI-connected data agents to draft and review SQL, generate first-pass analyses and narrative summaries, and automate recurring reporting. Validate every AI output before it reaches a client.
 * Deliver insight. Investigate client and program questions, surface trends, and turn findings into clear recommendations for account, product, and leadership teams.
 * Modernize the stack. Contribute to our BI platform migration and modernization: migrate reports, retire legacy artifacts, and improve performance.
 * Keep it governed. Maintain the data dictionary and metric documentation; handle client data in line with privacy and security requirements., * Dashboards and models are trusted: metric definitions are documented and defect rates fall quarter over quarter.
 * Turnaround on client and internal data questions shrinks as AI-assisted workflows and reusable models take hold.
 * Migration milestones are delivered on schedule with no loss of client-facing