Business Intelligence Analyst
Listed on 2026-01-17
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Business
Data Analyst, Business Systems/ Tech Analyst
Job Description
The Business Intelligence Analyst supports the Seamon Whiteside’s data-driven initiatives by maintaining and improving business systems, integrations, and reporting. Working closely with the Manager of Business Intelligence and stakeholders across the firm, this role focuses on ensuring data is accurate and accessible, systems and integrations run reliably, and end users receive timely support for data and software needs.
The Business Intelligence Analyst will play a key role in supporting new and existing software platforms, building and maintaining reports and dashboards, monitoring and troubleshooting integrations and automated processes, and helping foster a culture of data-driven decision-making within the firm.
About UsSince the company’s beginning in 1985, we’ve blended the disciplines of civil engineering and landscape architecture from concept to completion to create places of legacy and inspiration for our clients, community, and family. There is a big difference in how engineers and landscape architects visualize a project. At SW+, we approach every plan from both points of view, working together to create a successfully integrated venture.
In our world, that’s a good thing.
With the goal of being the best design firm in the region, the SW+ leadership team continues to attract the brightest talent, each with a unique expertise in one of the many facets of land design. SW+ has a diverse portfolio at a variety of scales in both the public and private sectors, including mixed‑use commercial developments, urban and suburban multifamily, healthcare, office, high‑end resort, and parks and recreation projects.
With over 200 employees and offices in Mount Pleasant, Greenville, Summerville, Spartanburg, and Columbia, SC, as well as Charlotte and Raleigh, NC, SW+ inspires employees to stand behind its tagline, “Elevating the site design experience.” Company culture is at the core of who we are. SW+ offers a mentorship program and other professional growth opportunities.
In addition, company‑sponsored events such as golf tournaments, sports teams, and happy hours, along with philanthropic endeavors, provide opportunities throughout the year to lift morale and strengthen bonds between coworkers.
RequirementsEducation
:
Bachelor’s degree in business administration, information systems, data analytics, computer science, engineering, or a related field; or equivalent combination of education and experience.
Experience
: 3+ years of relevant experience in business intelligence, data analysis, systems support, or a closely related role. Experience working with business systems such as ERP, CRM, HRIS, project management, or financial platforms. Experience developing and maintaining reports and dashboards using BI or reporting tools (e.g., Power BI, Tableau, Excel‑based reporting, or similar).
- Develop, maintain, and enhance dashboards and reports to support operational and strategic decision-making
- Respond to requests for data, reports, and visualizations from leadership and project teams
- Ensure data accuracy and consistency across reports and dashboards through validation and quality checks
- Document report logic, data sources, and key performance indicators (KPIs)
- Support day‑to‑day administration and configuration of business systems (e.g., ERP, CRM, HRIS, project management tools), including user setup, permissions, and basic configuration changes
- Serve as a first point of contact for user issues and questions related to supported software platforms, escalating more complex issues as needed
- Assist in evaluating new tools and features to improve workflows and data accessibility
- Partner with vendors and internal stakeholders to resolve system issues and optimize functionality
- Support the development and enforcement of data standards, naming conventions, and governance practices
- Perform routine data quality checks, identify anomalies or inconsistencies, and coordinate corrective actions
- Assist in consolidating and organizing data from multiple sources to support analytics and reporting needs
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