This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Healthcare Data Analyst will be responsible for reviewing and analyzing medical and pharmacy claims data to identify claims risk necessary to optimize the underwriting process. This position will also be responsible for creating and defining best practice standards for reviewing, analyzing and providing claims experience overview to the underwriters, nurses and management. - Prepare “Shock underwriting Summaries” - Review underwriting group reports to identify and extract data for individuals diagnosed with potentially catastrophic conditions. - Prepare “Shock underwriting Summary”, providing a sequential synopsis of each individual’s conditions and treatment (ICD-9 or ICD-10 codes), including the range of the dates of service, treatment provided (based on CPT codes), and corresponding costly drugs prescribed under medical and pharmacy plans. - Isolate and present data corresponding to individuals identified as representing potentially significant risk to Underwriting using ESL System. - Forward the Shock Claims Summary to underwriters and medical risk consultants for review as part of the stop-loss underwriting risk assessment process. - Review policy holder terms in ESL Office, such as spec level deductible and Stop Loss Contract type, that may impact risk selection. - Maintain a process for identifying potential specific claimants within each sold group's utilization data, collaborating with other key departments like Claims. - Interact with Underwriting, Sales, and MRCs to discuss significant risk findings on new and renewal business experience reports. - Lead as a resource for medical coding. - Work on special assignments, such as testing ESL application enhancements and conducting annual “laser project” analysis. Qualifications - 3-5 years of cumulative, relevant experience - College degree or equivalent work experience - Considerable knowledge of duties typically obtained through job-related training and experience - Knowledge of specified computer applications; office practices and procedures - Uses initiative and independent judgment within established procedural guidelines Requirements - Employer work visa sponsorship and support are not provided for this role - Applicants must be currently authorized to work in the United States at hire and maintain authorization throughout employment - Minimum Internet Speed: 100 Mbps download and 20 Mbps upload - Internet Type: Fiber, Cable (e.g., Comcast, Spectrum), or DSL - Not Permissible: Satellite (e.g., Starlink), cellular broadband, or wired dial-up Benefits - Flexible full-time or hybrid telecommuting arrangements - 401(k) plan with immediate vesting and company matching up to 6% - Paid time away including vacation and sick time, flex days, and ten paid holidays - Company matching for community giving

• Lead the design, development, and maintenance of sophisticated dashboards and data solutions using SQL, Tableau, and our modern data stack (Snowflake, DBT, Amplitude). • Partner with cross-functional stakeholders to identify opportunities for growth and operational efficiency. • Execute analytics projects end-to-end, from scoping requirements to delivery and impact measurement. • Provide guidance and informal mentorship to junior analysts through knowledge sharing and collaboration. • Translate complex data into clear, actionable recommendations for executive and cross-functional audiences. • Champion data quality, governance, and best practices across the Growth organization. • Collaborate with Product, Sales, and Customer Experience teams to define and track KPIs that drive business outcomes. • Lead deep-dive analyses on customer behavior, funnel performance, and revenue trends to inform GTM strategy.

What makes us Qlik? A Gartner® Magic Quadrant™ Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Enterprise Data and Analytics Intern Role We're looking for a curious, detail-oriented Data and Analytics Intern to join our team and gain hands-on experience turning raw data into meaningful insights. You'll work alongside analysts, data engineers, and business stakeholders to support reporting, build dashboards, and contribute to projects that directly influence decision-making across the organization. This is an ideal opportunity for someone early in their data career who wants real-world exposure to the tools, techniques, and cross-functional collaboration that define modern data work. What makes this role interesting? - Assist in collecting, cleaning, and organizing data from multiple sources to ensure accuracy and consistency. - Build and maintain dashboards and visualizations using Qlik Cloud Analytics. - Support ad-hoc analysis requests from business teams, translating questions into data-driven answers. - Help document data definitions, processes, and analytical methodologies. - Identify trends, patterns, and anomalies in datasets and communicate findings clearly to stakeholders. - Collaborate with team members on ongoing analytics projects - Present findings and recommendations to both technical and non-technical audiences. Here’s how you’ll be making an impact: - Mentorship from experienced data professionals. - Exposure to enterprise-grade data infrastructure and modern analytics workflows. - Experience working cross-functionally with marketing, product, finance, or operations teams. - A portfolio-worthy project you can speak to in future interviews. - Potential pathway to a full-time role based on performance and business needs. We’re looking for a teammate with: - Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Information Systems, or a related field. - Foundational knowledge of SQL and at least one programming language (Python or R preferred). - Familiarity with data visualization tools (Qlik, Tableau, Power BI, or similar). - Strong analytical and problem-solving skills with keen attention to detail. - Ability to communicate complex findings in a clear and concise manner. - Self-motivated with the ability to manage multiple tasks and meet deadlines. - Nice to Have: - Exposure to cloud data platforms (e.g., Qlik, Snowflake, BigQuery, Redshift). - Familiarity with version control (Git) - Coursework or project experience in machine learning or statistical modeling. The location for this role is: Remote - USA Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities! More about Qlik and who we are: Find out more about ‘Life at Qlik’ on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page. What else do we offer? - Named in Newsweek’s ‘Americas Greatest Workplaces 2025’: https://rankings.newsweek.com/americas-greatest-workplaces-2025. - Genuine career progression pathways and mentoring programs. - Culture of innovation, technology, collaboration, and openness. - Flexible, diverse, and international work environment. Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs. Salary and Benefits: The anticipated base salary range for this role is $ 24.00USD MIN – 30.00 USD MAX per year. Final compensation offered by Qlik will be based on factors such as the candidate’s location, job-related skills, education, experience, and other business and organizational needs. Application Window: The application window is 60 days, but applicants are encouraged to apply as soon as possible. The posting will be removed before the application window closes if the position is filled. For positions in Massachusetts: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability. Qlik is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a workplace that is diverse, equitable and inclusive. Qualified applicants will receive consideration for employment without regard to actual or perceived: race, color, religion, sex, sexual orientation, gender identity, pregnancy and related medical conditions, genetic information, national origin, age, marital status, protected veteran status, disability status or any other characteristic protected by applicable law. For United States applicants and employees, go to the US Department of Labor’s website to review the Equal Employment Opportunity Posters, including the “Know Your Rights” and “Pay Transparency Nondiscrimination” posters. If you need assistance applying for a role due to a disability, please submit your request via email to accessibilityta@qlik.com. Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests. Qlik's recruitment team uses AI-enabled tools to help assess and evaluate candidates' qualifications. Any hiring decision will involve a human review, and you will not be subject to decisions based solely on automated means. Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.

• Analyze payment data using SQL and create compelling dashboards with Tableau, PowerBI, or Looker to track key metrics and test outcomes • Implement strategies to reduce payment declines and enhance transaction success rates by analyzing failure trends and developing recovery solutions • Build chargeback mitigation strategies through trend analysis and automated triggers to protect merchant accounts and reduce dispute rates • Develop detection logic to identify bonus abuse, multi-accounting patterns, and synthetic identities while collaborating on risk-scoring models • Design and analyze AB tests to drive continuous improvement in payment and fraud processes • Work closely with cross-functional teams including payment, fraud, and product departments to optimize the player experience