Lead Data Analyst

WelbeHealth•Remote, CA, USA, CA

2d•$120,165 - $158,617

About The Position

The Lead Data Analyst is an analytically heavy hands-on role, utilizing processed business information points as the basis to further define and build out metrics, KPIs and analytical models to find operational issues, predict risk scores, incidence of disease, admits, LOS, financials etc., and prescribe actions to improve KPIs and metrics. The focus of this role will be on operational and clinical KPIs and metrics, including logic definition and alignment, and using analysis and modeling to provide highly contextualized and actionable business insights to P&L owners, clinical leaders, business stakeholders and executives. Collaborates effectively with colleagues and stakeholders to promote the WelbeHealth values, team culture and mission.

Requirements

Bachelor’s degree or equivalent field, preferably in Analytics.
Minimum five (5) years’ of relevant work experience in data and analytics.
Minimum three (3) years’ of experience in the healthcare industry, with exposure to provider and/or payer operations.
Minimum three (3) years’ of experience working with claims data and provider network data.
Minimum five (5) years’ of experience and advanced proficiency in SQL, Excel, and Power BI (or another data visualization tool).
Hands-on experience with analysis design problems and varied healthcare datasets and domains (e.g., enrollment, benefits, claims, clinical, risk, healthcare financials etc.)

Nice To Haves

Preferred experience in Health Plan analytics including eligibility, enrollment, provider network, contracting, claim processing, capitation, and call centers.
Developing operational KPIs and monitoring metrics a plus.
Databricks/GitHub experience a plus.

Responsibilities

Collaborate with business stakeholders in helping identify which metrics are the most useful to track, how should they be defined, and how can they be improved.
Provide ideas backed by analysis on how to improve status quo and finding new solutions and levers to improve business and clinical efficacy.
Build relationships and trust with business partners.
Use data, information, analysis and modeling to find ways to improve key metrics, optimize operations and clinical efficacy.
Partner closely with the Data Warehousing team function in designing business-facing semantic layers (data marts) and foundational information structures that’ll feed into analytics.
Serve as a subject matter expert for business rules and logic (clinical and non-clinical) to convert information into operational and clinical metrics and KPIs.
Partner with the Data Warehousing team in the design and development of a single source of truth repository for the company’s clinical and operational data.
Communicate effectively to business users, stakeholders and leaders on how business and clinical logic is applied to information points to arrive at key KPIs and metrics, why we’re measuring what we’re measuring, and how operational activities interlink to KPIs, OKRs etc.
Help with the build-out and maintenance of an enterprise KPI catalog and dictionary.
Actively participate in KPI/metrics governance.
Work with influence, without ego and exhibit a collaborative spirit, with an unyielding motivation to do what’s best for the organization.
Complete all required documentation in a timely and accurate manner.
Protect privacy and maintain confidentiality of all company procedures and information about team members, participants, and families.
Follow WelbeHealth policies and procedures and participate in any required Quality Improvement activities, staff training and meetings.