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Advantage Technical · 2 hours ago

Data Analyst (Healthcare)

Washington, DC

Contract

Hybrid

Mid Level

$30/hr - $30/hr

3+ years exp

Advantage Technical is a company that connects top talent in technology, engineering, and technical fields with forward-looking companies. They are seeking a Data Analyst II specializing in healthcare who will report statistics on products and services, create documentation, and perform data analysis using R, SQL, and Python.

Staffing & Recruiting

Growth Opportunities

No H1B

Hiring Manager

Steve Kowaleski

Responsibilities

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

Qualification

RSQLPythonHealthcareData visualizationStatistical conceptsAttention to detailCollaborationGrowth mindset

Required

R, SQL and Python, Healthcare

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

Preferred

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