Data Analytics Manager at HEALTH CARE PARTNERS – Conway, South Carolina

Data Analytics Manager Job Description

Full-Time Position

Job Description

Job Title: Data Analytics Manager

Job Type: Permanent

Reports To: COO

Status: Exempt

Job Overview: Under the direct supervision of the Chief Operating Officer (COO), the Data

Analytics Manager is responsible for providing direction for a team of data analysts. The Data

Analytics Manager takes the lead on developing processes for effective data analysis and

reporting.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

 Leads cross-functional projects using advanced data modeling and analysis techniques to

discover insights that will guide strategic decisions and uncover optimization

opportunities.

 Builds, develops, and maintains data models, reporting systems, data automation systems,

dashboards and performance metrics support that support key business decisions.

 Oversees the designs and delivery of reports and insights that analyze business functions

and key operations and performance metrics.

 Ensures accuracy of data and deliverables of reporting information.

 Examines, interprets, and reports results of analytical initiatives to stakeholders in

leadership, technology, and product teams.

 Oversees the data/report requests process: tracking requests submitted, prioritization,

approval, etc.

 Develops and implements quality controls and departmental standards to ensure quality

standards, organizational expectations, and regulatory requirements.

 Communicate results to stakeholders within the company.

Requirements

 Working knowledge of data mining principles: predictive analytics, mapping, collecting

data from multiple data systems on premises and cloud-based data sources.

 Strong SQL skills, ability to perform effective querying involving multiple tables and

subqueries.

 Understanding of and experience using analytical concepts and statistical techniques:

hypothesis development, designing tests/experiments, analyzing data, drawing

conclusions, and developing actionable recommendations for business units.

 Experience and knowledge of statistical modeling techniques: GLM multiple regression,

logistic regression, log-linear regression, variable selection, etc.

 Experience working with and creating databases and dashboards using all relevant data to

inform decisions.

 Experience using analytics techniques to contribute to company growth efforts,

increasing revenue and other key business outcomes.

 Strong problem solving, quantitative and analytical abilities.

 Strong ability to plan and manage numerous processes, people, and projects

simultaneously.

 Excellent communication, collaboration, and delegation skills.

 Strong programming skills with querying languages: SLQ, SAS, etc.

 Experience with Excel, Word, and PowerPoint.

Education/Certification/Licensure:

 At least a bachelor’s degree.

 At least one (1) year of experience in data analyzing.