Data Analyst

Position Purpose

The Data Analyst will join a collaborative, centralized team grounded in improvement science to participate in projects that promote a culture of excellence. The Data Analyst will be responsible for acquisition, analysis, interpretation, and reporting of sensitive data to support performance measurement and health system improvement efforts. They must be able to work independently, and collaboratively, to locate and validate data, identify data requirements, and communicate data specifications to team members and leaders.

They should develop reporting/analytic solutions, draw conclusions, and make recommendations. They will leverage software applications to design solutions, perform detailed data mapping and analysis, manage data, design new processes, and produce routine internal and external monitoring reports and special projects using databases and analytics tools. They will need an understanding of data management, manipulation, and interpretation of large databases, and an ability to evolve tools and reporting systems to meet the priorities of a dynamic healthcare environment.

This role can be either remote or hybrid.

• Responsible for acquiring, accessing, validating, querying, and analyzing data from data repositories using available tools (including Alteryx, Python, R, SQL, Power BI, or Microsoft Azure applications).
• Data Analysis and Interpretation:
  • Utilize statistical techniques and data mining methodologies to analyze complex clinical datasets. Identify trends, patterns, and correlations within the data to derive meaningful insights and actionable recommendations.
  • Write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, apply machine learning to train predictive models, and use the right combination of tools and frameworks to turn complex sets of disparate data points into objective answers that inform decisions.
  • Utilize statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning as needed.
• Biostatistical Research Support:
  • Collaborate with researchers and clinicians to provide analytical support for clinical studies and research projects. Assist in study design, sample size estimation, data collection methods, and statistical analysis plans.
• Data Visualization and Reporting:
  • Create clear and concise visualizations, reports, and dashboards to communicate data-driven insights to investigators.
  • Present findings in a compelling manner, tailored to the target audience. Generate publication quality graphs and write associated manuscript sections to describe methodology and results in detail for inclusion in scientific publications.
  • Clearly and effectively communicate results in writing and in oral presentations.
• Quality Assurance:
  • Ensure the accuracy and reliability of clinical data by conducting quality assurance checks and implementing data validation procedures. Identify and resolve data discrepancies or anomalies.
• Compliance and Data Privacy:
  • Adhere to regulatory requirements and maintain strict confidentiality of patient health information (PHI) in accordance with privacy laws and ethical guidelines such as HIPAA.
• Continuous Improvement:
  • Stay abreast of industry trends, advancements in data analytics methodologies, and emerging technologies.
  • Explore opportunities to enhance data collection, analysis, and reporting processes.
  • Review scientific publications and literature to validate theories and models.

• A minimum of three years of experience.
• Must have a background in biological, epidemiological, or sociological data analysis, with a specific focus in clinical datasets.
• Experience with clinical data sets preferred to be considered.
• Must have experience with data visualization tools (i.e., Power BI, Tableau, or Qlik) and techniques to develop and deliver impactful data models and data visualizations.
• Must have experience with querying or analyzing data to answer questions and solve problems and familiarity with different databases.
• Must exhibit proficiency in data analysis and statistical software including Alteryx, R, Python, SAS, SPSS, SQL, Power BI DAX, and other relevant programming environments.
• Must have experience with statistics and statistical analysis of data and general algorithm development.
• Must have strong analytical skills with the ability to work with a variety of large and complex datasets including (but not limited to) basic research datasets and clinical data.
• Must have experience with electronic medical records.
• Must possess excellent communication skills, both written and verbal, to effectively convey complex findings to non-technical stakeholders.
• Must possess strong attention to detail, problem-solving abilities, and the capacity to work independently and collaboratively in a team environment.

This position does not provide patient care.

The foregoing description is not intended and should not be construed to be an exhaustive list of all…