Data Analyst
Charlottesville, Albemarle County, Virginia, 22904, USA
Listed on 2026-02-20
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IT/Tech
Data Analyst, Data Engineer
Job Title
Data Analyst
LocationCharlottesville, VA 22902
Duration12+ Months
Work Hours8am to 4.30pm
In‑Person Work ArrangementMgr agrees to initial Virtual IVs but reserves the option to request an IN PERSON IV if needed. The selected candidate must be able to work IN PERSON (ON SITE) for the first full week (5 days) of the engagement-- then a minimum of one day a week ON SITE thereafter REQUIRED. The candidate must have access to broadband internet and a home office free from distractions to qualify for remote work.
The candidate can optionally work in person if preferred. Pls do not submit if they cannot agree to this arrangement.
Additional in‑person days may be necessary for meetings with clients.
Parking is free at our facilities.
The employee cannot have billable hours on our government holidays.
Work FlexibilityMust work independently or as part of a small team on projects.
Years of Experience4-6
Days on Site per week1-2
DescriptionData Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for migration project, and create Business Intelligence reports and dashboards.
Day‑to‑Day Responsibilities- Initial workload will be heavily focused on creation of SSRS reports, utilizing mockups provided by a configuration team to customize standard vendor provided reports.
- Working on ETL processes to clean and load data to on‑prem and cloud databases, SQL Server scripting and querying, and Business Intelligence report creation.
- The Data Analyst will work with other ACIT team members, department stakeholders, vendors, and partners in the design, development and implementation of reporting, integration and data analytics solutions.
- Expertise in designing, developing, and deploying SSRS reports.
- Proficiency with SQL Server.
- Strong knowledge of SQL for querying relational databases.
- Experience with complex queries, joins, subqueries, and data manipulation.
- Perform data analysis, data profiling, SQL coding/query tuning, data modeling, and data validation.
- Work and partner with internal stakeholders to develop reports or address data access and visualization needs.
- Experience in data modeling with strong and demonstratable data management skills.
- Power BI report development.
- Experience with Azure data warehousing solutions.
- Experience with Azure ETL (Extract, Transform, Load) processes and tools.
- Experience with Microsoft Fabric.
- Proficiency in scripting languages (e.g., Python, Power Shell) for automation and data manipulation.
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