> Markdown version of [/jobs/ext/4656312-bi-data-analyst](https://www.wearedevelopers.com/jobs/ext/4656312-bi-data-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). --- # BI Data Analyst - **Company:** Hays Specialist Recruitment LLC - **Location:** Orlando, FL, United States - **Salary:** $166,400 - $176,800 - **Contract:** Temporary contract - **Skills:** HTML, Java (Programming Language), Artificial Intelligence, JIRA, Information Engineering, Data Transformation, Web Development, Data Intelligence, Python (Programming Language), Power BI, Software Engineering, SQL Databases, Tableau (Software), Tools for Reporting, Claude, Servicenow - **Published:** November 10, 2026 - **Apply:** https://www.dice.com/job-detail/df585192-baff-4786-8505-c579aca0a0df ## About the Role The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship not available., Claude / AI tools: Ideally has built HTML dashboards using Claude. Prior experience is preferred; strong traditional dashboard experience is the closest transferable background. SQL and Python: Helpful for understanding data transformations, reviewing generated code, and troubleshooting. HTML / website development: Helpful because dashboards are delivered through a website. Other programming knowledge: Website development and "Java/HTML" were mentioned as wish-list skills; the exact language expectation should be clarified if needed. Data engineering: The candidate does not need to be a data engineer, but must be able to partner with that team and understand its work. Software engineering: Full software engineering expertise is not expected. Team environment High visibility, with regular requests supporting senior leadership. Close partnership with finance. Priorities can shift quickly. Strong emphasis on collaboration and team fit. Best suited to someone who welcomes ownership and ambiguity rather than requiring a fixed weekly work plan. ## Description Partner with data engineering to consume and understand data from business-owned systems. Transform data into useful dashboards, visuals, and reporting tools. Validate calculations, investigate discrepancies, and troubleshoot outputs. Understand the business meaning behind the data and communicate the story clearly. Tailor dashboards and messaging for different audiences, including analysts, managers, VPs, and senior leadership. Adapt to changing priorities and requests from leadership and finance. Proactively communicate progress, accomplishments, questions, and blockers. Data sources and reporting context Source / area Details myPPM - primary focus Project forecasting tool containing labor and OE line-item details Jira Additional data source; less immediate focus ServiceNow Additional data source; less immediate focus Finance partnership Reporting across organization as a whole, beyond individual projects Leadership reporting Team prepares content for executive leadership team every other week and supports a recurring forum Dashboard development Strong experience creating dashboards and selecting appropriate visuals for different audiences Power BI / Tableau Valuable transferable experience, even though the team's current delivery approach uses Claude and HTML Data fluency Able to work effectively with data engineers and understand data consumption, transformation, and validation Business acumen Understands what metrics mean, identifies questionable assumptions, and connects technical work to business needs Communication Can explain findings and implications to nontechnical stakeholders without relying on technical jargon Ownership Takes initiative, provides updates, and stands behind the accuracy of deliverables Adaptability Comfortable with high visibility, shifting priorities, and work that may change during the week