Senior Business Intelligence Data Analyst

Gainwell Technologies LLC•Any city, OH

2d•$69,400 - $99,200•Remote

About The Position

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. The Business Intelligence Business Analyst focuses on building and maintaining scalable data solutions that empower teams with reliable insights. It blends analytics, data engineering, dashboard development, and cross‑functional collaboration. The role requires both technical depth and the ability to translate business needs into actionable data products.

Requirements

5 years of Data Analytics experience.
5 years of experience coding in SQL.
Experience in Python and/or other data scripting languages.
Experience utilizing a business intelligence visualization tool (Cognos, Tableau, Power BI, Power Automate etc.).
Experience in querying and analyzing and working with data languages and platforms to investigate large and diverse data sets.
4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
3 year of experience utilizing and developing within a cloud environment (AWS/Azure preferred).

Responsibilities

Collaborate with team members and stakeholders to define key business metrics and gather requirements for which insights should be made available at scale.
Architect data pipelines, design, and build new dashboards for stakeholders to address their needs.
Maintain and improve existing data infrastructure and dashboards based on evolving business requirements.
Publish and maintain clear documentation to inform and educate users at scale, gather feedback to identify opportunities for improvement.
Identify ways to streamline and improve the efficiency of our data.
Implement changes to our infrastructure (optimize SQL queries and data workflows) to improve the landing time of our data.
Work with cross-functional teams to identify data needs and gaps and align on solutions.
Lead projects end-to-end, see around corners, and provide thought partnership to your team.