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Senior Business Intelligence Data Analyst
Gainwell TechnologiesBusiness Intelligence Analyst creating and maintaining data solutions for insights at Gainwell Technologies. Collaborating with teams to deliver data-driven decisions based on analytics and engineering.
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 cross-functional projects and improve data infrastructure while utilizing business intelligence tools.
Highest-signal resume keywords
Data Analytics ExperienceSQL Coding ExperienceBusiness Intelligence Visualization ToolsCloud Environment DevelopmentProcess Management Methodologies
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 QueryingData AnalysisDashboard DevelopmentData Pipeline ArchitectureData Workflow OptimizationAgile MethodologyLean Methodology
Soft Skills
CollaborationThought PartnershipDocumentation SkillsFeedback GatheringProject Leadership
Tools & Technologies
CognosTableauPower BIPower AutomateAWSAzure
Industry Keywords
Data InfrastructureBusiness MetricsProcess ImprovementData EfficiencyCross-Functional Teams
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 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.
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 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).
Benefits
Comp & perks- generous, flexible vacation policy
- educational assistance
- comprehensive health benefits
- 401(k) employer match
- leadership and technical development academies