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

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

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

... Assistant Secretary of War for International Armaments Cooperation. Provide dedicated data analytics capable of converting large volumes of data from disparate sources into decision-quality products.

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

... Assistant Secretary of War for International Armaments Cooperation. Provide dedicated data analytics capable of converting large volumes of data from disparate sources into decision-quality products.

Showing results 21-40

Assistant Data Analytics information

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 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 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 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 are popular job titles related to Assistant Data Analytics jobs in Washington, DC?

For Assistant Data Analytics jobs in Washington, DC, the most frequently searched job titles 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:

Health Data Analytics Consultant

UnitedHealth Group

Reston, VA • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Re-posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers


Job description

For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together.

Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human services consulting and policy analysis firm, brings 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors.

In the wide-ranging field of health human services consulting, OSC/Lewin provides both depth and breadth of expertise.  Currently, OSC/Lewin has more than 250 consultants drawn from industry, government and academia.  They all share a solid commitment to OSC/Lewin's core values of objectivity, integrity, analytical innovation, vision, and dedication to client satisfaction.

At OSC/Lewin, we help federal, state, and other decision-makers strengthen health and human services programs, make informed policy choices, and implement critical initiatives. The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and research methodology.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. 

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Schedule: Monday - Friday, daylight

Primary Responsibilities: 

  • Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
  • Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
  • Work with clients to verify analysis parameters and specifications
  • Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
  • Efficiently query large databases of healthcare claims and eligibility data
  • Write detailed specifications and documentation of data processing and analytical steps
  • Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
  • Maintain a consistently high degree of accuracy and attention to detail in all tasks
  • Work effectively and cooperatively as a member of a project teams
  • Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 4 years of experience in health/analytics related field 
  • 4 years of experience using Python, SQL or R in a research, consulting, or business environment
  • Experience working with medical claims and enrollment data in large data warehouse environments
  • Experience in preparing data and information and contributing to reports and presentations 
  • Experience working on implementing or evaluating value-based payment programs
  • Experience working in Snowflake or Databricks environments
  • Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
  • Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines


Preferred Qualifications:

  • Experience conducting statistical analysis to inform health policy
  • Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
  • Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques
  • Experience with other software such as Excel (e.g., pivot tables, VBA)
  • Understanding of Medicare and Medicaid payment methodologies


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.


Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.


OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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