[Hiring] Healthcare Data Analyst @Kodiak Solutions

Role Description

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.

• 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.

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.