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 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, 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.