Senior Data Analyst

HarmonyCares is one of the nation’s largest home-based primary care practices. HarmonyCares is a family of companies all dedicated to providing high-quality, coordinated health care in the home. This includes HarmonyCares, HarmonyCares Medical Group, HarmonyCares Home Health and HarmonyCares Hospice.

Our Mission - To bring personalized, quality-based healthcare to the home of patients who have difficult accessing care.

Our Shared Vision - Every patient deserves access to quality healthcare.

Our Values - The way we care is our legacy. Every interaction counts. Go the extra mile. Empower and support each other.

Why You Should Want to Work with Us

• Health, Dental, Vision, Disability & Life Insurance, and much more
• 401K Retirement Plan (with company match)
• Tuition, Professional License and Certification Reimbursement
• Paid Time Off, Holidays and Volunteer Time
• Paid Orientation and Training
• Great Place to Work Certified
• Established in 11 states
• Largest home-based primary care practice in the US for over 28 years, making a huge impact in healthcare today!

The Senior Data Analysis Analyst is responsible for the orchestrating timely, consistent, and accurate inflow/outflow of enterprise data. This includes data-related interaction with clients, business units, and analysts. The Senior DAA is also responsible for locating, making available, and optimizing data for use in downstream analytics or system consumption working in conjunction with Data Engineers. As a senior on the team there are additional responsibilities related to largerscale/ strategic project coordination to include collaborating and assisting team members.

Essential Duties and Responsibilities 

• Collaborate with extended team members to understand the use-cases around data utilization
  and create/document plans that lead to the desired outcome
• Coordinate the inflow/outflows of data for the organization adhering to data privacy and other
  policies
• Work with Data Engineers and other developers to build both simple and complex data structures
  to meet utilization requirements
• Collaborate with other teams in analytics to develop and implement databases, processes, and
  other strategies that optimize efficiency and quality
• Query raw data as part of discovery and data- quality assessment activities
• Structure large data sets to find and organize usable information
• Perform data cleansing to identify erroneous data and initiate corrections needed
• Creation of rules and other configuration elements within the Enterprise Data Warehouse
• Direct work and interaction with Data Engineers, DBA’s, Data Analysts, Data Scientists along with
  other staff members
• Assist with oversight and coordination of large scale and/or strategic projects related to
  department and organization objectives/goals
• Work with peers to better improve completion of personal tasks/duties
• Observed as a resource within department- aides in process questions/tasks
• Perform additional duties as needed

Required Knowledge, Skills and Experience

• Bachelor’s degree in Computer Science, MIS, Statistics or related field of study
• 4 years or more of experience with supporting clients via data feeds and other inbound/outbound
  data exchanges
• 4 years or more of experience with supporting the development of reusable datasets leveraging
  TSQL
• Experience in two or more of the following: Experience in healthcare industry with a focus on risk
  related data and engagements; Experience in healthcare industry with a focus on Quality
  metrics; Experience interacting with large amounts of healthcare data
• Healthcare experience with a focus on Medicare populations and plans
• Understanding of Data Governance principles, Data Modeling and Data-Privacy Standards
• Strong documentation skills and illustration capabilities related to data and related process flows
• Strong SQL coding skills including creation/optimization of complex queries, stored procedures,
  and views
• Ability to travel as occasionally needed (up to 3%)

Preferred Knowledge, Skills and Experience

• Advanced knowledge of data and process modeling techniques specific to the organizational
  goals