Lead Data Analyst (Remote)

CareFirst•Baltimore, MD

3d•Remote

About The Position

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions. This role engages in data exploration using various programming languages, requiring advanced knowledge of multiple database structures. The analyst will collect, analyze, and interpret data to glean insights and develop business-appropriate recommendations. They will serve as an expert resource supporting data questions and issues from stakeholders, driving them to resolution. The role involves researching and analyzing data flow across complex data ecosystems, including operational and analytical data platforms, and managing the collection of business and technical requirements to deliver data-driven solutions. Producing and reviewing technical documentation consistent with professional standards is also a key responsibility. The Lead Data Analyst will lead in the design, development, validation, and delivery of data to provide insight into business decisions and act as a mentor to all team members.

Requirements

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
8 years experience in an progressively responsible analytical/quantitative role.
Expert-level skills in: SQL across enterprise-scale data environments
Microsoft Power BI ecosystem (including Power BI Report Builder Semantic model development, DAX)
Microsoft Fabric (dataflows, lakehouses, pipelines, DirectLake)
Proficient in Python (advanced analytics, model development, automation)
Ability to design and implement analytical models that drive decision-making
Strong storytelling and executive-level presentation skills
Quantitative, analytical and problem-solving skills.
Knowledge and understanding of analytical tools, languages, applications, platforms.
Excellent communication skills both written and verbal.
Ability to learn quickly and take direction.
Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
Must be eligible to work in the U.S. without Sponsorship

Nice To Haves

Experience in healthcare industry
Masters degree strongly preferred in Analytics, Statistics, Data Science, or a related field
Experience working in Agile or product-oriented analytics teams is preferred
Familiarity with Git, dbt, or other version-controlled data development workflows is a plus
Experience mentoring junior analysts or leading analytics pods/projects

Responsibilities

Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.
Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
Manage the collection of business and technical requirements from stakeholders to deliver data driven solutions.
Produces and reviews technical documentation that is consistent with professional standards.
Lead in the design, development, validation and delivery of data to provide insight into business decisions.
Act as a mentor to all team members.