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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, business intelligence, and analytics, with a strong focus on developing data models, dashboards, and self-service analytics solutions. Proven ability to lead teams, mentor staff, and drive stakeholder adoption of data-driven strategies.
Highest-signal resume keywords
Data ModelingBusiness IntelligencePython ProgrammingSQL ProficiencyData Visualization
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 EngineeringData AcquisitionData AnalysisData Quality MonitoringStatistical ModelingData GovernanceRelational DatabasesData ScienceDashboard DevelopmentData Shaping
Soft Skills
LeadershipMentoringConsultingProject ManagementBusiness Acumen
Tools & Technologies
TableauPowerBIExcelCognos AnalyticsTableau Prep
Industry Keywords
Utility IndustryData StewardshipBusiness Intelligence PoliciesAnalytics MaturityStakeholder Adoption
Tech Stack
Tools & technologiesCognosPythonSQLTableau
About the role
Key responsibilities & impact- Act as a subject matter and business intelligence expert for customer analytical technologies
- Drive adoption of self-service analytics capabilities
- Develop and implement data models, datasets, reports, dashboards, and integrated analytics solutions
- Consult with the Data Product Owner on Data Lake design
- Establish, promote, and monitor adherence to business intelligence policies and standards
- Partner with IT on the stability, performance, upgrades, and roadmaps of user-facing technology
- Develop understanding of customer business processes, enterprise platforms, and table structures to extract and report accurate data
- Create strategies for interactive dashboards and promote stakeholder adoption
- Manage personal and team deliverables, timelines, and project milestones
- Shape and extract data using coding languages including Python and SQL
- Apply advanced data quality monitoring approaches
- Identify applications of data science for predictive and prescriptive solutions
- Act as an internal consultant to advance analytics maturity, provide strategic insights, identify opportunities, develop strategies, and mentor staff
- Lead complex data product and visualization development
- Mentor and coach team members, review and delegate work, and guide technical design and implementation
- Support emergency response efforts, potentially outside normal hours or typical responsibilities
Requirements
What you’ll need- Bachelor’s Degree or equivalent work experience
- 5+ years of experience in fields related to data engineering, business intelligence, or data science
- 5+ years of experience with data acquisition methods and tools, including Tableau Prep, SQL, Python, and PowerBI
- 5+ years of experience with data visualization or analysis software, including Tableau, Excel, Cognos Analytics, and PowerBI
- 5+ years of experience coding for shaping and extracting data using Python, R, SQL, and Prep Tools
- 2+ years of experience leading analytics developers or projects
- Experience working with relational databases
- Must be legally authorized to work in the United States
- Must not require employer sponsorship now or in the future
- Preferred: related experience in the utility industry
- Preferred: experience with statistical modeling
- Preferred: experience as a data steward and knowledge of data governance
- Preferred: strong business acumen
Benefits
Comp & perks- 10% annual bonus
- Relocation Assistance Provided
- Professional development and growth opportunities
- Hybrid work arrangement
- Equal employment opportunities
- Reasonable accommodation support
- Veteran and military spouse support
- Emergency response support as part of employment
