ABOUT KODIAK SOLUTIONS At Kodiak Solutions, we’re dedicated to transforming the healthcare industry through cutting-edge, technology-driven solutions. We specialize in healthcare finance, unclaimed property, risk management, and revenue cycle management, helping healthcare organizations streamline complex financial operations. Our mission is to simplify and optimize processes, so healthcare providers can focus on delivering excellent patient care. Powered by our innovative platform, we offer cloud-based systems, automated workflows, and advanced data management tools designed to address the unique challenges in healthcare. Whether it's improving revenue cycle efficiency, navigating unclaimed property issues, or mitigating risk, our platform delivers real-time, actionable insights to drive better outcomes JOB SUMMARY The Healthcare Data Analyst role is best suited for people early in their technology career. The role works within our Finance & Reimbursement team to analyze healthcare and financial datasets, create reports, and support data-driven decision-making. In this role, you will contribute to meaningful projects, and cross-collaborate within your team and across different groups at Kodiak Solutions such as Product, Engineering, and more. Responsibilities: - Learn to write and optimize SQL queries for reporting and analysis. - Assist in extracting, cleaning, and analyzing data from multiple sources. - Support the development of dashboards and reports using tools such as Power BI, Tableau or Sigma. - Collaborate with team members to translate business requirements into data solutions - Learn team structure and deliver assigned items in established timelines. - Gain an understanding of various product and service datasets, codebases, and business purposes. - Learn to balance and prioritize individual workload across different types of requests. - Learn compliance standards across various product areas. Required Qualifications: - Bachelor's degree in Data Analytics, Computer Science, Information Systems or related fields such as Accounting, or equivalent experience - 2–3 years of experience in data analysis, business intelligence, or a related role. - Min 1 years of experience with Microsoft SQL Stack (T-SQL, SSIS, SSRS) - Ability to develop product knowledge in a domain area, and across product lines - Ability to work in a shifting environment while maintaining various levels of standardization and consistency - Strong analytical and problem-solving skills with attention to detail and cross-team collaboration. - Strong communication skills for presenting findings to non-technical audiences. - Ability to learn and adapt in a dynamic environment. - Basic understanding of data visualization tools (Power BI, Tableau) is a plus. - Experience with Microsoft Azure and/or Snowflake, a plus - Technology certifications, a plus Preferred Skills: - Knowledge of Python for data analysis. - Understanding of ETL processes and data modeling concepts. - Familiarity with healthcare data or financial datasets.

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role will be the analytical engine behind data-driven decision-making in Rula’s Partnership Product area. As an individual contributor, you will partner with senior leaders across Product, as well as teams in Data Science, Data Engineering, Partnerships, Finance, and Operations, to take ownership of generating insights and recommendations that shape strategy for product roadmap using data. Bringing an advanced analytical toolkit, you will translate broad questions into actionable research and discovery plans, perform proactive data exploration to identify actionable insights, and communicate results in a compelling manner. You will model the impact of new features, determine success criteria, and drive experimentation to evaluate new launches. Your work will play a critical role in growing the platform by driving partner adoption and satisfaction. Required Qualifications - 7+ years of related professional experience in analytics or data science role, with 2+ years of experience focusing on product analytics - Deep understanding of product analytics metrics (e.g. conversion, churn, engagement, retention, LTV) and proficiency translating metrics into actionable insights - Strong experience working directly on A/B testing, including experiment design, deployment, and results interpretation - Advanced technical expertise with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Demonstrated ability to work with non-technical cross-functional stakeholders Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth startup environment with the ability to handle dynamic analytical priorities - Prior experience in healthcare industry - A proven ability to connect analytics insights to business strategy, influencing product decisions that drive revenue and growth - Advanced proficiency with Python/R for analytics/scripting and working with event-based data We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Support for your mental and physical health - New hire home office stipend: Set up your workspace for success - Quarterly department stipend: Fun team-building activities or in-person gatherings - Wellness events and lunch & learns: Explore a variety of engaging topics - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

• Help conduct surveys • Help develop the methodologies used in annual reports and rankings from survey data • Collaborate with editors on research projects, based on surveys and publicly available data • Help create data visualizations based on surveys and publicly available data • Participate in drafting and presenting key research findings to reporters and editors • Combine, clean and verify data from multiple sources • Help manage our data set. • Work with a wide range of stakeholders in Editorial and IT with regard to data management.

• Help conduct surveys • Help develop the methodologies used in annual reports and rankings from survey data • Collaborate with editors on research projects, based on surveys and publicly available data • Help create data visualizations based on surveys and publicly available data • Participate in drafting and presenting key research findings to reporters and editors • Combine, clean and verify data from multiple sources • Help manage our data set. • Work with a wide range of stakeholders in Editorial and IT with regard to data management.