Business Data Analyst - Partner's Consulting, Inc.

LOCAL CANDIDATES ONLY. NEED TO GO ONSITE FOR THE INTERVIEW. TEMP-PERM ROLE> NEED TO BE ON OUR W2. NO SPONSORSHIP AVAILABLE

Title: Business Data Analyst

Location: Philadelphia, PA (local candidates only)

Type: Contract

Our client is seeking a Business Data Analyst to manage a diverse and complex suite of projects simultaneously.

A successful candidate will exhibit proficiency in taking initiative, attention to detail, communication (verbal and written communication), process orientation, data warehouse knowledge, teamwork, and accountability.

Key Accountabilities:

• Responsible for intake of Customer Extract File requests.
• Verify that the requests received have the necessary documentation / approval.
• Enter data from the Extract File request into the Request System.
• Conduct balancing / verification / creating audit trail of Extract File Requests.
• Perform UAT on extract platform as required.
• Review and resolve customer inquiries.
• Interact with all internal and external partners across multiple related departments as needed.
• Document specific customer issues (over- / underpayments, setup issues, etc.).
• Escalate setup and billing issues to appropriate levels of management.
• Coordinate with Senior, Lead, and Supervisor on resolution of invoice errors.
• Effectively resolve any issue as directed by Senior, Lead, and / or management.
• Identify, track, report trends, and escalate issues to appropriate levels of management.
• May perform other duties as required by management.

Required Skills:

• Bachelor's Degree in a Business-related field or equivalent work experience preferred.
• Minimum of 2-5+ years working within Billing, Finance, Operations Department, or Information Technology
• Healthcare industry data knowledge and familiarity with eligibility, medical claims, pharmacy claims, and lab results.
• Understanding of self-funded billing, healthcare industry data, and data warehouse.
• Ability to think critically and resolve problems.
• Strong attention to detail and the ability to succeed in a high-paced environment.
• Experience with the Data Warehouse and Structured Query Language (SQL).
• Proficiency in SQL, Excel, Word, and Outlook are required.
• Good written and verbal communication skills.
• Ability to multi-task and prioritize activities.