POSITION:

Data Analyst-People Analytics

SCHEDULE: Full Time

LOCATION: Reno, NV

SALARY: Will discuss with applicant.

TO APPLY:

Direct Link -https://pm.healthcaresource.com/cs/renownhealth/#/job/52452

Careers Page -https://www.renown.org/Careers

Please note, employers may close jobs on the website at any time.

SUMMARY:

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 must be able to develop reporting/analytic solutions, but also be able to draw meaningful conclusions and make recommendations for actions.

The Data Analyst will leverage software applications to design solutions and perform detailed data mapping and analysis. They will not only manage data and design new processes but will be accountable for the timely and accurate production of routine internal and external monitoring reports and special projects. This requires experience working with databases, along with creativity, curiosity, and initiative to evolve the tools and reporting systems to meet the priorities of a dynamic healthcare environment. They will need an understanding of data management, as well as manipulation and interpretation of large databases.

MINIMUM/PREFERRED REQUIREMENTS:

Education:Must have working-level knowledge of the English language, including reading, writing, and speaking English. Masters degree with 2 years experience preferred; bachelors degree with 5 years of equivalent experience will be considered in place of masters degree requirement; AA or no degree with 10 years experience. Experience:Requires a minimum of five (5) years experience with at least three (3) years working in data management, analysis, governance, reporting, or other BI related experience. Requires least two (2) years healthcare data experience; more is preferred. SQL and statistical experience and proficiency is required. Certification:Ability to obtain Epic Systems Cogito Fundamentals Certificate is required within 12 months of hire. Must stay current on new version certification as applicable. Computer/Typing:Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

JOB RESPONSIBILITIES/DUTIES:

Primary Responsibilities:

This role will be serving the Human Resources, Payroll, Benefits, and finance.

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:

o 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.

o 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.

o 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 suppor for clinical studies and research projects. Assist in study design, sample size estimation, data collection methods, and statistical analysis plans.

Data Visualization and Reporting:

o Create clear and concise visualizations, reports, and dashboards to communicate data-driven insights to investigators.

o 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.

o 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.

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