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Top Entry Level Data & Analytics Jobs in Washington DC,

7 Days Ago
United States
Remote
1,651 Employees
Entry level
1,651 Employees
Entry level
News + Entertainment
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
7 Days Ago
8 Locations
Remote
357 Employees
Entry level
357 Employees
Entry level
Financial Services
The Analyst will keep updated with the latest trends in the crypto industry, conduct research across sectors, and assess investment opportunities while demonstrating a strong passion for crypto and integrity.
7 Days Ago
USA
Remote
281 Employees
80K-115K Annually
Entry level
281 Employees
80K-115K Annually
Entry level
Energy
The Energy Markets Analyst will engage in data management, optimize processes, and collaborate across teams to support market operations. Responsibilities include understanding demand response roles, developing tools for operational and sales needs, and executing market activities efficiently.
7 Days Ago
USA
Remote
100 Employees
Entry level
100 Employees
Entry level
Food
The Procurement Analyst will manage the raw material approval process, oversee contract usage for ingredients, organize raw material items within the ERP, and support the sustainability program while adapting to organizational changes and communicating updates to stakeholders.
8 Days Ago
United States
Remote
1,153 Employees
Entry level
1,153 Employees
Entry level
Healthtech • Software • Telehealth
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
9 Days Ago
USA
Remote
6,766 Employees
Entry level
6,766 Employees
Entry level
Software
The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.
9 Days Ago
US
Remote
1,233 Employees
145K-190K Annually
Entry level
1,233 Employees
145K-190K Annually
Entry level
Edtech • Information Technology
The Database Administrator at Instructure will manage database systems, ensuring data safety and availability while automating solutions to prevent issues. Responsibilities include driving projects to completion, working with SQL in production, responding to database problems, and providing support to both technical and non-technical staff.
Top Benefits:
401-K
Company Equity
Company Outings
+17 More
9 Days Ago
United States
Remote
98 Employees
40K-65K Annually
Entry level
98 Employees
40K-65K Annually
Entry level
Marketing Tech • Software
The Media Analyst will execute and optimize digital marketing campaigns across platforms like Google Ads and Meta. Responsibilities include campaign management, performance optimization through analysis, creating reports, aligning strategies with client goals, and data management. The ideal candidate is detail-oriented and eager to analyze data to drive results.
9 Days Ago
United States
Remote
944 Employees
Entry level
944 Employees
Entry level
Big Data • Cloud
Trace3 is seeking candidates to join their Data Intelligence Team. The role involves utilizing data analytics and consulting services to develop unique technology solutions for clients. Emphasizing innovation and teamwork, the company fosters a collaborative environment where employees can grow and make impactful decisions.
Top Benefits:
401-K
Company Outings
Dental Insurance
+15 More
9 Days Ago
United States
Remote
369 Employees
Entry level
369 Employees
Entry level
Marketing Tech • Analytics
As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.
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