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Assistant Data Analytics Jobs in Washington, DC (NOW HIRING)

Key Responsibilities * Assist in gathering, cleaning, and transforming raw data from different ... Analyze datasets to identify patterns, trends, and insights. * Create basic data visualizations (e ...

Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. ... Direct responsibility for managing and mentoring team members * Assist in the staffing and ...

Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams * Assist in design and implementation data quality audits, controls, and ...

Responsibilities include (but not limited to): * Assist with the training and implementation ... Experience analyzing data systems, with strong aptitude for conducting quantitative and qualitative ...

... : * Assist with the training and implementation. * Analyze the system functionality to develop classroom facilitator-led learning solutions and eLearning courses to support implementation. * Work ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Washington, DC? The most popular types of Data Analytics jobs in Washington, DC are:
What job categories do people searching Assistant Data Analytics jobs in Washington, DC look for? The top searched job categories for Assistant Data Analytics jobs in Washington, DC are:

$63K - $75K/yr

Full-time

Posted 10 days ago


Job description

Job Title: Specialist, Data Analytics

Location: Bethesda, Maryland (Hybrid)

Reports To: Director, Data Analytics

FLSA Status: Exempt

________________________________________

About NACHC:

Founded in 1971, the National Association of Community Health Centers (NACHC) serves as the leading voice for America’s Health Centers and the people and communities they serve. NACHC works to promote the provision of high-quality, affordable, community-based health care to everyone, particularly to underserved populations.

________________________________________

Position Summary:

The Data Specialist independently conducts quantitative, qualitative, mixed-method, and survey-based research supporting NACHC's national research agenda. The position analyzes complex health-related data, develops evidence-based publications, and contributes to sponsored research, policy analyses, and strategic initiatives that inform Community Health Centers, policymakers, and national partners.

Working closely with the Data Analytics Manager, the Data Specialist provides technical support throughout the research lifecycle, including study design, survey development, data collection, statistical analysis, literature reviews, interpretation of findings, and dissemination of research products.

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Key Responsibilities:
    1. Research Design and Data Analysis
  • Conduct quantitative, qualitative, mixedmethod, survey, and secondarydata analyses using UDS and other national health datasets.
  • Design and program surveys, develop data collection tools, and monitor data quality throughout project implementation.
  • Clean, validate, merge, manage, and analyze complex datasets while ensuring data integrity and methodological accuracy.
  • Develop statistical tables, dashboards, charts, maps, and other data visualizations to communicate research findings.
    1. 2. Research Implementation and Scientific Support
  • Conduct literature reviews, environmental scans, and background research to support study design and proposal development.
  • Assist in developing research protocols, analytic plans, survey instruments, and evaluation methodologies.
  • Perform qualitative coding, thematic analysis, and synthesis of research findings.
  • Ensure research documentation and analytic files are complete, accurate, and reproducible.
    1. 3. Publications and Dissemination
  • Draft reports, issue briefs, fact sheets, manuscripts, conference abstracts, presentations, and other research products.
  • Translate complex research findings into accessible materials for health centers, policymakers, and other audiences.
  • Develop presentation materials, infographics, dashboards, and visual summaries of research findings.
  • Support conference presentations, webinars, technical assistance activities, and dissemination of research results.
    1. 4. Project Coordination and Collaboration
  • Coordinate assigned research activities and monitor project timelines, deliverables, and reporting requirements.
  • Collaborate with internal staff, consultants, health centers, and external research partners.
  • Maintain project documentation, shared workspaces, research databases, and tracking systems.
  • Support proposal development, grant reporting, and other sponsored research activities.
  • ________________________________________

    Required Qualifications:
  • Master's degree in public health, epidemiology, health services research, biostatistics, public policy, social science, or a related field.
  • 2+ years of applied research experience, including quantitative or qualitative analysis.
  • Experience conducting survey research, statistical analysis, or program evaluation preferred.
  • Knowledge of quantitative, qualitative, and mixedmethod research methodologies.
  • Experience analyzing healthrelated data and interpreting research findings.
  • Strong analytical, organizational, and criticalthinking skills.
  • Excellent scientific writing and verbal communication skills.
  • Ability to manage multiple assignments while meeting deadlines.
  • Ability to work independently while contributing effectively to multidisciplinary project teams.
  • 10% travel to NACHC conferences and events.
  • Key Skills and Competencies:
  • Strong proficiency in Microsoft Excel and Microsoft Office.
  • Experience with statistical software such as SPSS, SAS, Stata, R or other advanced analytic software preferred
  • Experience with survey platforms such as Qualtrics or SurveyMonkey.
  • Experience with Power BI, Tableau, ArcGIS, or other data visualization tools preferred.
  • Proficiency in using Asana or other project management software
  • Tableau, ArcGIS or mapping software
  • Data visualization
  • Team collaboration
  • Professional communication
  • ________________________________________

    Why Join NACHC?

    At NACHC, you’ll be part of a dedicated and collaborative team working to improve the health and well-being of communities nationwide. We offer competitive compensation, comprehensive benefits, and opportunities for growth in a purpose-driven organization.

    Salary: $63,000 - $75,000