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Senior Business Intelligence Analyst
Gainwell Technologies. Collaborate with team members and stakeholders to define key business metrics and gather requirements .
Tech Stack
Tools & technologiesAWSAzureCloudCognosPythonSQLTableau
About the role
Key responsibilities & impact- Collaborate with team members and stakeholders to define key business metrics and gather requirements
- Architect data pipelines, design, and build new dashboards for stakeholders
- Maintain and improve existing data infrastructure and dashboards
- Publish and maintain clear documentation for users
- Identify ways to streamline and improve efficiency of our data
- Implement changes to optimize SQL queries and data workflows
- Work with cross-functional teams to identify data needs and gaps
- Lead projects end-to-end and provide thought partnership
Requirements
What you’ll need- 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
- 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- 3 years of experience utilizing and developing within a cloud environment (AWS/Azure preferred)
Benefits
Comp & perks- generous, flexible vacation policy
- educational assistance
- comprehensive health benefits
- 401(k) employer match
- leadership and technical development academies
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata pipelinesdata workflowsdata analysisbusiness intelligenceCognosTableauPower BIcloud environment
Soft Skills
collaborationcommunicationleadershipdocumentationthought partnershipefficiency improvementstakeholder engagementcross-functional teamworkproject managementprocess management