Data Analyst

Kodiak Solutions
4h

About The Position

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.

Requirements

  • 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

Nice To Haves

  • Knowledge of Python for data analysis.
  • Understanding of ETL processes and data modeling concepts.
  • Familiarity with healthcare data or financial datasets.

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.
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