Data Analyst; Healthcare

Data Analyst II (Healthcare)

R, SQL and Python, Healthcare

No C2C, H1, OPT EAD candidates

Washington, DC or Oakbrook, IL (hybrid)

6 months+ contract to hire

$30 an hour W2 (No sponsorship available. H-1 or OPT candidates EAD will not qualify)

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.

• Use 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.

Education:

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.

• 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.

• 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 Power
  
  BI 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…