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Top Data & Analytics Jobs in Washington DC,

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2 Days Ago
Washington DC
Remote
149 Employees
Senior level
149 Employees
Senior level
Marketing Tech • Consulting
The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.
2 Days Ago
Washington DC
Remote
146 Employees
Entry level
146 Employees
Entry level
Software • Consulting
As an Analyst in the Holt Group, you will conduct financial, market, legal, and product research, and craft quantitative analyses, presentations, and reports. You will learn financial modeling while working collaboratively in a part remote, part in-office environment focused on litigation consulting.
2 Days Ago
Washington DC
26,032 Employees
Entry level
26,032 Employees
Entry level
eCommerce • Retail • Sales
The Logistics Analyst I will manage operational failures in logistics, update data in the Transportation Management System, develop solutions for supply chain issues, monitor KPIs, and assist with delivery scheduling and performance metrics.
2 Days Ago
Washington DC
Remote
14 Employees
Entry level
14 Employees
Entry level
Marketing Tech
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
2 Days Ago
Washington DC
Remote
61 Employees
Entry level
61 Employees
Entry level
Information Technology • Software
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
2 Days Ago
Washington DC
Remote
4,788 Employees
Entry level
4,788 Employees
Entry level
Digital Media • Gaming • Software
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
2 Days Ago
Washington DC
Remote
55 Employees
Entry level
55 Employees
Entry level
Artificial Intelligence • HR Tech • Machine Learning • Social Impact • Software • Consulting
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
Top Benefits:
401-K
401-K Matching
Customized Development Tracks
+36 More
2 Days Ago
Washington DC
Remote
237 Employees
Mid level
237 Employees
Mid level
Software
The Data Engineer will be responsible for analyzing and converting customer data onto the enterprise software platform, focusing on ETL solutions and establishing best practices for data conversion. Tasks include collaborating with analysts, leading customer sessions, executing data profiling, and managing multiple projects while ensuring data quality.
2 Days Ago
Washington DC
Remote
414 Employees
112K-152K Annually
Senior level
414 Employees
112K-152K Annually
Senior level
HR Tech • Software
As a Data Analyst III at Calendly, you will leverage data visualization and analytics to support cross-functional reporting and ad hoc analyses. Your role includes building dashboards in Tableau and Hex, performing complex analyses using SQL, Python, or R, and defining business metrics in dbt. You will also communicate insights effectively to promote data-driven decision-making across the company.
2 Days Ago
Washington DC
Remote
73 Employees
Senior level
73 Employees
Senior level
Agriculture
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
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