Senior Data Analyst (Hybrid)

PURPOSE :

The purpose of a Senior 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.

ESSENTIAL FUNCTIONS :

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.

Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.

Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.

Lead in the design, development, validation and delivery of data to provide insight into business decisions.

Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards.

Be a resource and mentor to junior level staff.

Candidate will support the implementation of a Data Integration / Data Warehouse for the Informatics Teams.

Data Cleaning identify erroneous data and determine appropriate resolution.

Analyze and assess the quality and integrity of the data including Reference Data.

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.

Understand the meaning / business context of data.

Acquire data from internal or external data sources and maintain mapping documents of the files, databases / data systems.

Perform data analysis and data modeling to create source to target mappings.

Evaluate risk from statistical information to determine risk to operations or non-compliance.

Perform gap analysis of data requirements versus current data sources.

Work closely with business analysts and source data experts to develop data requirements.

Assess current data and assist in the resolution of data anomalies.

Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback.

Data profiling experience(Preferably using Abinitio DQE).

SUPERVISORY RESPONSIBILITY :

Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.

QUALIFICATIONS :

Education Level : Bachelor's Degree 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.

Experience :

• 5 years experience in an Data analytical / quantitative role.
• Strong SQL and data modelling skills like 3rd normal form and dimensional modelling.
• Demonstrated ability to perform complex queries, assess data quality and develop data mappings.
• Experience with multiple data warehousing and analytics development projects.

Preferred Qualifications :

• Experience in Healthcare Industry.
• Hands on experience with Big Data / NoSQL Platforms with experience delivering production projects at scale.
• Working knowledge of HEDIS, Fraud, Waste & Abuse.
• Working knowledge of ETL.
• Experience with Hadoop and Big Data technologies.
• Working knowledge of ALM.
• Working knowledge of COBOL.
• Strong DB2, Java, and UNIX skills.
• Understanding and working (hands-on) knowledge of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.

Knowledge, Skills and Abilities (KSAs)

• 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.

LH-MW1

Department

Department :

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.