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Data Associate Jobs in Silver Spring, MD (NOW HIRING)

Cmu

Associate Data Scientist

Arlington, VA

$67.90K - $68.50K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Pwc

Data Engineer - Senior Associate

Baltimore, MD

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Precision

Associate, Data Insights Focused

Washington, DC · On-site

$58.50K - $62K/yr

We are seeking an Associate to join our Data & Analytics team in New York, NY or Washington, DC. This is a fantastic entry point for a curious, detail-oriented professional who wants to do meaningful ...

Precision

Associate, Data Insights Focused

Washington, DC · On-site

$58.50K - $62K/yr

We are seeking an Associate to join our Data & Analytics team in New York, NY or Washington, DC. This is a fantastic entry point for a curious, detail-oriented professional who wants to do meaningful ...

Pwc

Data Engineer - Senior Associate

Washington, DC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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$14

$34

$58

How much do data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for data associate in Silver Spring, MD is $34.19, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $40.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Associate, and why are they important?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the most commonly searched types of Data jobs in Silver Spring, MD? The most popular types of Data jobs in Silver Spring, MD are:
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Data Associate jobs near you
Infographic showing various Data Associate job openings in Silver Spring, MD as of May 2026, with employment types broken down into 2% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $71,119 per year, or $34.2 per hour.
Associate Director, Data Enablement

Associate Director, Data Enablement

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Posted 28 days ago

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 70 rated pharmaceutical

Job description

Job Summary:
AstraZeneca is a global biopharmaceutical company focused on the discovery, development, and commercialization of prescription medicines. The Associate Director, Data Enablement will lead the development of multi-omics data products to support decision making in Oncology, collaborating with data scientists and engineers to ensure successful product delivery and data integration.
Responsibilities:
• Develop the strategy for and build multi-omics data products/ data atlases in a FAIR way which supports AZ cross-project delivery
• Plan and drive data curation-, integration, -management and operation efforts (coordination between scientists, engineers); conduct data quality control and normalization where needed
• Lead small cross-functional teams and ensure successful product delivery
• Work together with data engineers to automate data operations as much as possible
• Quantitatively observe and control product usage, to quickly understand gaps and issues
• Coordinate and streamline data transfer, exchange and integration activities with our vendor network
• Work with data product consumers (bioinformaticians, data scientists, scientists) to understand requirements, develop best practices in data wrangling/curation and storage of RWE data, and gather feedback
• Develop documentation and training material
• Identify opportunities for training/ education and drive/ support development of training and communication material
Qualifications:
Required:
• Master's degree in biology, bioinformatics, data science or related field; PhD preferred
• At least 3 years Bioinformatics or related experience
• 3 years' experience in data science/management and or data centric project/alliance management and integration with data entity focus genomics, transcriptomics, proteomics
• Understanding of the FAIR data principles and how to translate and implement requirements into a typical data flow
• Great communication and organization skills as well as stakeholder mgmt. experience
• Experienced working within cross-functional teams, including business data owners/stewards and technical product development staff
Preferred:
• Experience with multimodal healthcare data
• Experience with tools like JIRA, Confluence
Company:
AstraZeneca is a pharmaceutical company that discovers, develops, manufactures, and markets prescription medicines. It is a sub-organization of Investor. Founded in 1913, the company is headquartered in Cambridge, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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