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Senior Business Intelligence Analyst
Gainwell Technologies. Collaborate with team members and stakeholders to define key business metrics and gather requirements for scalable insights .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Analytics, SQL, and Python, with a strong focus on building and optimizing data pipelines and dashboards. Proven ability to lead projects, collaborate with cross-functional teams, and implement process improvements using methodologies like Agile and Lean.
Highest-signal resume keywords
Data Analytics ExperienceSQL CodingPython ScriptingBusiness Intelligence ToolsCloud Environment Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsSQLPythonData Pipeline ArchitectureDashboard DesignData QueryingData AnalysisProcess ManagementAgile MethodologyLean Methodology
Soft Skills
CollaborationThought PartnershipFeedback GatheringDocumentation SkillsStakeholder Engagement
Tools & Technologies
CognosTableauPower BIPower AutomateAWSAzure
Industry Keywords
Data InfrastructureData EfficiencyData WorkflowsProcess ImprovementData Visualization
Tech Stack
Tools & technologiesAWSAzureCloudCognosPythonSQLTableau
About the role
Key responsibilities & impact- Collaborate with team members and stakeholders to define key business metrics and gather requirements for scalable insights
- Architect data pipelines
- Design and build new dashboards for stakeholders
- 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
- Streamline and improve data efficiency
- Implement infrastructure changes, optimize SQL queries and data workflows, and improve data landing time
- Work with cross-functional teams to identify data needs and gaps and align on solutions
- Lead projects end-to-end and provide thought partnership to the team
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 querying, 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 years of experience utilizing and developing within a cloud environment (AWS/Azure preferred)
- Video cameras must be used during all interviews and during the initial week of orientation
Benefits
Comp & perks- Work flexibility
- Learning and career development
- Technical credentials and certifications
- Generous, flexible vacation policy
- Educational assistance
- Leadership and technical development academies
- 401(k) employer match
- Comprehensive health benefits