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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management strategies, including data modeling, ETL processes, and data governance. Proficient in developing reporting solutions and collaborating with cross-functional teams to drive data-driven decision-making.
Highest-signal resume keywords
Data Management Strategy ExecutionETL Processes DevelopmentData Modeling ExpertiseAdvanced Analytical SkillsData Governance Knowledge
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 WarehousingData MappingData WranglingData ProfilingData Analysis MethodsProgramming LanguagesData Quality StandardsData LineageData TransformationReporting Techniques
Soft Skills
Effective CommunicationMentoring SkillsProblem-SolvingCollaborationJudgment and Decision-Making
Tools & Technologies
Visualization ToolsAnalytical Software ToolsMS OfficeBig Data TechnologiesData Preparation Frameworks
Certifications & Qualifications
Undergraduate DegreeTechnical Certificate
Industry Keywords
Data GovernanceData QualityData Management PlanningBusiness AdministrationStatistical Analysis
Tech Stack
Tools & technologiesETL
About the role
Key responsibilities & impact- Support execution of US Consumer data management strategy
- Translate strategic priorities into sustainable processes, measurable deliverables and consistent business practices
- Maintain the strategic roadmap
- Develop reporting and dashboards
- Track milestones and risks
- Coordinate across business, data and technology partners
- Support training, documentation and data literacy initiatives
- Lead projects with moderately complex to complex risk and resource requirements
- Analyze, design and develop data repositories, warehouses, marts, data movement, data wrangling, data mapping and ETL processes
- Support data solutions, applications, platforms and tools used across functional groups
- Develop data preparation frameworks and architecture for Data Scientists
- Support data modeling capabilities
- Support business teams in using and understanding data and reporting solutions
- Develop data roadmaps, information management strategies and technical solutions
- Drive complex data integration solution development
- Gather, analyze and understand data requirements
- Develop business solutions including data models, business rules, lifecycle management, governance, lineage, metadata and reporting elements
- Apply automation and innovation on data platforms and development initiatives
- Collaborate with technology and business partners to resolve issues and meet SLAs
- Provide expert guidance for data impact assessments and data risk mitigation
- Implement data standards and quality processes
- Maintain knowledge of upstream data sources and platform data
- Identify critical data elements for governance and data management programs
- Perform data profiling using TD tooling and ad hoc query languages
- Resolve data issues and investigate root causes
- Support knowledge transfer and data expertise activities
- Conduct functional or enterprise-level analysis and make recommendations
- Monitor emerging trends and regulatory requirements
- Maintain risk management and control practices
- Participate in cross-functional initiatives as a subject matter expert
- Mentor others and contribute to team capability development
Requirements
What you’ll need- Undergraduate degree or Technical Certificate
- 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
- Expert-level conceptual and practical knowledge in the specialty area and broader related areas
- Advanced analytical and problem-solving skills
- Fluency in one or two programming languages
- In-depth experience working with very large datasets and familiarity with big data technologies
- Familiarity with visualization tools
- Knowledge of data repositories, warehouses, marts, data movement, data wrangling, data mapping, transformation and ETL processes
- Knowledge of data modeling, data governance, data quality, data lineage, metadata and reporting
- Proficient knowledge of data sources, tools and technologies used in preparing summaries and reports
- Skill in analytical software tools, data analysis methods and reporting techniques
- Skill in mentoring/coaching others
- Skill in using computer applications including MS Office
- Ability to communicate effectively in oral and written form
- Ability to work collaboratively and independently
- Ability to exercise sound judgment and manage multiple deadlines
- Ability to handle confidential information with discretion
- Preferred: experience supporting data management planning, data governance, data quality, or similar programs
- Occasional domestic travel; no international travel
Benefits
Comp & perks- Base salary and variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
- Banking benefits and discounts
- Career development
- Reward and recognition
- Regular career, development, and performance conversations with manager
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Accommodation support for applicants with disabilities