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Data Analyst Automation Jobs in Virginia (NOW HIRING)

Senior Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics ... automation. • Implement data validation and quality controls (reconciliation, anomaly checks ...

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

... and automation testing Data analysis, verification/validation between source and target Strong SQL skills are needed Knowledge of SAS or Python/PySpark is highly desired Big data (Hive/HDFS etc ...

Sr Data Analyst

Reston, VA · Hybrid

$89K - $112K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Demonstrated experience in creation of complex queries, data manipulation, and automation of data ...

New

Experience with Python or R for data analysis/automation. Experience with statistical methods (e.g., hypothesis testing, regression) and KPI design. Prior experience supporting federal/government ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... Identify and implement automation algorithm improvements * Utilize tools to query, extract and ...

Exposure to Python or R for data wrangling, automation, or basic analytics beyond point-and-click tools. * Prior experience supporting mission-critical analytics use cases related to cost, usage ...

Utilize SharePoint and Excel for data storage, collaboration, and workflow automation. * Leverage Microsoft 365 applications (e.g., Excel, Power BI, Teams) for data analysis, reporting, and ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... Identify and implement automation algorithm improvements * Utilize tools to query, extract and ...

Exposure to Python or R for data wrangling, automation, or basic analytics beyond point-and-click tools. * Prior experience supporting mission-critical analytics use cases related to cost, usage ...

Showing results 21-40

Data Analyst Automation information

What is the difference between Data Analyst Automation vs Data Analyst?

AspectData Analyst AutomationData Analyst
Required SkillsData automation tools, scripting, programming (Python, SQL)Data interpretation, visualization, statistical analysis
Work EnvironmentAutomating data processes, developing scripts, optimizing workflowsAnalyzing datasets, creating reports, providing insights
CertificationsData analysis, automation tools, programming certificationsData analysis, business intelligence certifications
Industry UsageTech, finance, healthcare with automation focusVarious industries focusing on data insights

While both roles involve working with data, Data Analyst Automation specializes in automating data processes and developing scripts to improve efficiency. Data Analysts focus more on interpreting data, creating visualizations, and providing insights. The automation role requires programming skills, whereas the traditional Data Analyst emphasizes statistical analysis and reporting.

What job categories do people searching Data Analyst Automation jobs in Virginia look for? The top searched job categories for Data Analyst Automation jobs in Virginia are:
What cities in Virginia are hiring for Data Analyst Automation jobs? Cities in Virginia with the most Data Analyst Automation job openings:

Senior Data Analyst

TriOptus LLC

Mclean, VA • On-site

$87K - $110K/yr

Full-time

Re-posted 4 days ago


Job description

Job Description:
Role Summary
We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics solutions across
modern data platforms. You will build and optimize datasets in SQL Server, Snowflake, and
Microsoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableau
and Power BI. You will also leverage Microsoft Copilot and other AI-assisted tools to accelerate
analysis, development, documentation, and stakeholder support-while applying strong validation,
governance, and data quality practices.
Key Responsibilities
• Gather requirements, define KPIs, and translate business needs into scalable analytics
deliverables (datasets, semantic models, dashboards, and insights).
• Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft
Fabric (Warehouse/Lakehouse).
• Design and maintain analytics-ready data models (dimensional/star schemas, curated
layers, reusable views/tables).
• Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, Power
Query, semantic models) and Tableau.
• Use Python (e.g., pandas, NumPy; optional scikit-learn/statsmodels) for data wrangling,
statistical analysis, forecasting, experimentation support, and automation.
• Implement data validation and quality controls (reconciliation, anomaly checks, refresh
monitoring, metric certification).
• Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows
Gen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.
• Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and other
approved assistants) to:
• accelerate SQL/DAX generation and refactoring,
• speed up dashboard prototyping and narrative insights,
• draft documentation and data dictionaries,
• support stakeholder Q&A and self-service enablement,
while ensuring correctness through testing and peer/stakeholder validation.
• Communicate findings clearly, create concise executive narratives, and recommend
actions backed by data.
• Maintain documentation for metric definitions, logic, lineage, and operational runbooks to
support handoff.
Required Skills & Experience
• 7 - 10+ years in data analytics/BI/consulting (or equivalent senior-level experience).
• Advanced SQL expertise (CTEs, window functions, complex joins, query tuning).
• Strong experience with SQL Server (T-SQL) and performance optimization.
• Experience with Snowflake (warehouse concepts, optimization/cost awareness, security
basics).
• Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse concepts;
pipelines/dataflows/notebooks; semantic modeling).
• Strong dashboard development skills in Power BI (DAX, modeling, performance)
and Tableau.
• Proficiency in Python for analytics and automation.
• Demonstrated ability to use AI-assisted tools productively with appropriate guardrails
(validation, privacy, reproducibility).
• Excellent stakeholder management, communication, and independent delivery skills.
Deliverables / Success Measures
• Reliable, documented KPI definitions and curated datasets used consistently across teams.
• High-performing, user-friendly dashboards in Power BI/Tableau with measurable adoption.
• Reduced manual reporting through automation and reusable analytics assets.
• Clear documentation and handoff materials enabling maintainability after contract
completion.