Data Analyst

Responsibilities

The Data Analyst is responsible for retrieving, cleaning, and analyzing data to provide actionable insights and support strategic business decisions. They collaborate with cross-functional teams to ensure data integrity and translate complex technical findings into understandable business narratives.

Requirements

Candidates must have at least 5 years of experience in mathematics, finance, statistics, or computer science, along with proficiency in SQL, R, and Python. A high school diploma or GED is required, while a bachelor's degree and Certified Health Data Analyst certification are preferred.

Skills

• SQL
• R
• Python
• Data analysis
• Data profiling
• Data visualization
• Microsoft Power BI
• Data modeling
• Communication
• Story-telling
• Statistical analysis
• Problem solving
• Teamwork
• Customer service
• Data integrity
• Business logic

Benefits

• Comprehensive health benefits
• Retirement savings plan
• Paid time off
• Education assistance
• Financial education and support
• DailyPay
• Expanded Paid Parental Leave

About this role

General Summary

Is responsible for retrieving, interpreting, and analyzing data to drive key
business decisions and actions, measure program efficacy and contribute to
strategic direction. Working with other teams across the Revenue Cycle,
participates as a catalyst for maintaining the data life cycle. Focusing on
system strategic goals and objectives, assist customers with formulating
appropriate data questions that will lead to analyses which will reveal relevant
insights. Cleans and prepares data for analysis, ensuring applicability to
business need. Engages in data profiling of raw data. Applies appropriate
techniques and programming languages (e.g. R, Python, SQL) to identify patterns
and trends, while reaching out to senior level analysts for assistance when
needed. Assist stakeholders with interpreting results, at times applying
visualization techniques (e.g. Microsoft Power BI). Collaborates with developers
and end users to ensure technical requirements and specifications reflect
appropriate business logic.This position will leverage the analytics spectrum to
tell a story with the data, working with senior level analysts to ensure the
application of the most appropriate approach for each business need. Applies
these approaches to data from various sources, such as relational databases,
data warehouses, data marts and tabular data models. Accesses data from
third-party vendor tools. This position requires the soft skill of story-telling
through data, by turning technical information into easy-to-understand
non-technical action items. Confidence in presentation of findings and excellent
communication skills are desired. Develops the ability to view business problems
from varying perspectives and continuously display curiosity.

RESPONSIBILITIES

Duties and Responsibilities

Essential Functions:

* Assist customers with formulating appropriate data questions to meet business
and strategic needs.
* Ability to take a business question or need and turn it into a data question
for the purpose of transforming and analyzing the data to extract an answer
to that question.
* Retrieve data from one or more sources and prepare the data for analysis.
* Engage in data profiling of raw data, including but not limited to, health
plan (i.e. claims), electronic health record, and third-party vendor data.
* Identify patterns and trends in the data using appropriate techniques and
programming languages.
* Participate in data exploration activities for the purpose of finding
interesting trends or relationships that could bring value to the business.
* Develop skill set to create clean, visually compelling charts &
visualizations that will help others understand the data and relevant
insights.
* Support the Revenue Cycle data and analytics strategy, processes, technical
architecture, and design of subject areas.
* Collaborate with developers and end users to ensure technical requirements
and specifications reflect appropriate business logic.
* Support system wide data integrity, quality control and standardization as
identified by system leaders and/or system level teams

Common Expectations:

* Enhances professional growth and development through participation in
educational programs, current literature, in-service meetings, and workshops.
* Provides outstanding service to all customers; fosters teamwork; and
practices fiscal responsibility through improvement and innovation.

QUALIFICATIONS

Qualifications

Minimum Education:

* High School Diploma or GED Required
* Bachelors Degree Preferred

Work Experience:

* 5 years Mathematics, Finance, Statistics, or Computer science or related
field Required

Licenses:

* Certified Health Data Analyst Upon Hire Preferred

Knowledge, Skills, and Abilities:

* Math, statistical and analysis skills needed;
* Demonstrated proficiency with SQL query writing skills required;
* Knowledge of data modeling concepts desired;
* Experience with R, Python & other languages required;
* Strong teamwork/communication/customer service skills.

Benefits Offered:

* Comprehensive health benefits
* Retirement savings plan
* Paid time off (PTO)
* Education assistance
* Financial education and support, including DailyPay
* Expanded Paid Parental Leave

For additional details: Benefits & Incentives | WellSpan Careers
(joinwellspan.org) [https://www.joinwellspan.org/benefits/]

About WellSpan Health

Medical Practices · 2-10 employees · headquartered in York, Pennsylvania