Data Analyst II (Healthcare)Required Skills: R, SQL and Python, Data Engineering, Statistics, Healthcare
Location: Washington, DC or Oakbrook, IL (hybrid)
Duration: 6 months+ contract to hire
Rate: $30 an hour W2 (No sponsorship available. H-1 or OPT candidateswill not qualify)
Description:The qualified candidate will be able to report the stats on the products and services that they offer to their clients. The Data Analyst will need to create the stats and modeling documentation. This person should be able to create and analyze these using R, SQL and Python. These are all part of big data
Run reporting on existing products using data QA and data pipe lining
Ad hoc analysis and reporting on miscellaneous projects.
ResponsibilitiesUse scripting languages, such as Python, and SQL, to build data pipelines to create analytical datasets. Utilize data management and engineering tools and best practices to the extent feasible.
Design and perform data quality control into pipelines, ensuring results of data quality processes are documented and transparent. Take ownership of the accuracy and quality of your work.
Perform data analysis, including descriptive statistics and at times more sophisticated statistical analyses. Go beyond not just to deliver output, but ensure team members understand the results, implications, and assumptions. Written, verbal, and visual communication are all key to success in this role.
Develop effective dashboards and reports in which the material produced significantly enhances storytelling, understanding, and interpretation of trends and patterns of business importance.
Collaborate across a multi-functional team to collectively define requirements (analytical plans, definition of key metrics, output format) of the work and ensure the resulting work meets the needs of end-users.
Engage with team expertise and healthcare quality subject matter to strategize how to improve our key metrics definition, data strategy, analyses plans, and the implementation of each of these.
Manage multiple projects and collaborate with multiple teams simultaneously, effectively managing priorities. A related need is to accurately estimate the time needed to address data needs and deliver results by deadlines. Work to deliver results on time and keep team members abreast of progress and delays.
Steward data security throughout all aspects of our projects by use of procedures and best in concordance with our data governance policies' legal and ethical requirements.
RequirementsEducation: Bachelor's degree required with training and experience in data manipulation and analysis. The most relevant degrees include Statistics, Biostatistics, Data Science, Computer Science, Epidemiology, and Mathematics.
Requirements:
- Three to five years of experience in performing data management and/or statistical tasks. Graduate training can substitute for years of professional experience. Relevant internship or research experience is eligible.
- Fluency in R and/or Python for data science tasks.
- Proven experience successfully completing data deliverables, such as data pipelines and analytical output (e.g., reports, visualizations, dashboards)
- Ability to create custom data visualizations and interpret results.
- Proficiency in core statistical concepts including: standard errors, hypothesis testing, bias-variance tradeoffs, and regression modeling.
- Strong attention to detail and commitment to accuracy.
- Willingness to learn and contribute to a collaborative team environment.
- This position is a contractor position with potential to become an FTE.
Preferences:
- Experience with SQL or more database technologies, big-data methodologies and cloud methodologies is preferred. Understanding of relational database concepts is essential.
- Skills to develop reproducible reports using tools like R Markdown, Quarto, or Jupyter Notebooks.
- Proficiency in development of interactive dashboards using tools such as PowerBI or Shiny.
- Use of Git or other version control software for code development and collaboration.
- Data engineering and software engineering skills such as automation, data pipeline orchestration, data modeling, use of Databricks and related tools, etc. are valued.
- Mastery of core statistical concepts as well as knowledge of quality measure risk-adjustment, reliability, validity, and machine learning.
- Bringing growth mindset, enthusiasm, and compassion to your work and interactions with others
- Experience with healthcare domain is a plus, including knowledge of EHR and/or claims data, as well as health data standards and terminologies such as CQL, HL7.
#techjobs
The base pay range listed reflects what we reasonably expect to offer for this role. Actual pay may vary based on location, experience, and performance. Depending on the position, benefits may include medical, dental, and vision coverage; retirement and savings plans; paid holidays and time off; supplemental insurance; and additional wellness or incentive programs.
After you have applied, download our Staffmark Group WorkNOW App to receive real-time job offers and apply for additional opportunities. You can download it from the App Store or get it on Google Play. About UsAdvantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies.
Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer. See our Privacy Notice for Candidates and Employees/Contractors at By applying, you consent to receive AI-generated and non-AI-generated calls, texts, or emails from Staffmark Group, its affiliates, and partners. Frequency varies and message/data rates may apply. Reply STOP to cancel or HELP for help.
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