Analytics Manager, PINS

Position Overview

We're seeking an Analytics Manager for PINS (Payee Identification and Network Security) to join our team, reporting to the Senior Director. In this role, you'll lead the PINS analytics team and drive the development of a structured analytics program. Your focus will be on managing ongoing and ad-hoc reporting, automation, and operational enhancements for the PINS team, ensuring data accuracy and consistent reporting. You'll also implement strategies to translate raw data into actionable insights for decision-making within the PINS department and across functional teams.

Key Responsibilities

• Develop and implement a structured analytics program, including training, onboarding, and testing of skills for analysts, and documentation of reporting requirements

• Prioritize requests from the PINS department and stakeholders, ensuring capture of business cases and effective management of deliverables

• Transform raw data into meaningful business insights for decision-making and strategic planning

• Prepare data summaries and detailed reports for leadership, identifying trends, patterns, areas of concern, and overall business insights

• Ensure accuracy of data and deliverables through established policies and processes

• Collaborate with data and analytics professionals to optimize and scale the PINS team, ensuring continuity of reporting and dashboards

• Identify areas for process improvements, including automation, dashboard development, and visualization tools

• Enhance reporting of department KPIs and SLAs to provide visibility into team accomplishments and areas for improvement

• Provide detailed explanation and training to end-users of reporting and dashboards

• Manage day-to-day requests, enhancements, and tasks for yourself and your team, ensuring alignment with current departmental priorities

• Think creatively to solve complex problems and adapt dynamically to changing risks and business needs

Required Qualifications

• Bachelor's degree in business and/or Computer Science; OR 7+ years of equivalent work experience

• 3+ years of experience leading a team of analysts or data scientists

Preferred Qualifications

• Advanced modeling skills in SQL, Python, or comparable query language competencies

• Highly analytical and proficient with database and visualization tools such as Tableau and/or Power BI

• Strong Excel skills, including formulas, vlookups, and conditional formatting

• Ability to mine complex datasets and generate actionable business recommendations

• Adaptability to change and effective response in a fast-paced, deadline-focused environment

• Proficiency in data-driven decision-making and storytelling

• Experience in fraud or risk prevention

As a leading payments company in healthcare, we guide, price, explain, and pay for care on behalf of insurers and their members. We’re Zelis in our pursuit to align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all. We partner with more than 700 payers, including the top-5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, over 4 million providers, and 100 million members, enabling the healthcare industry to pay for care, with care. Zelis brings adaptive technology, a deeply ingrained service culture, and a comprehensive navigation through adjudication and payment platform to manage the complete payment process.

Commitment to Diversity, Equity, Inclusion, and Belonging 
At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.

Equal Employment Opportunity  
Zelis is proud to be an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities.  

Accessibility Support 

We are dedicated to ensuring our application process is access