FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data strategy and execution, with a strong focus on data analytics, data operations, and client deliverables. Proven ability to lead teams, manage complex datasets, and drive product success through effective communication and collaboration.
Highest-signal resume keywords
Data AnalyticsSQLPythonData Workflow ManagementTeam Leadership
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 OperationsPysparkData Quality ManagementData TransformationData StrategyTaxonomy DevelopmentData FrameworksData Solutions AlignmentClient DeliverablesProduction-Grade Workflows
Soft Skills
Strong Communication SkillsOwnership MindsetProject ManagementMentoringCross-Functional Collaboration
Tools & Technologies
GithubDatabricks
Industry Keywords
Client ValueData Quality IssuesScalable WorkflowsEmerging Sector DataARR Growth
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Own data strategy and execution for a portfolio of client deliverables within new sectors
- Drive product success through accuracy, client value, and efficiency
- Partner with product and revenue leaders to set and achieve ambitious targets
- Serve as a subject-matter expert for emerging sector data
- Partner with GTM teams on client conversations, explain methodologies, address questions, and align data solutions with client needs
- Investigate and resolve data quality issues and implement scalable fixes
- Design, standardize, and maintain scalable workflows as coverage expands
- Own and evolve sector categorization frameworks, including core taxonomies and custom client categorizations
- Operate as a player-coach, setting quality, speed, and innovation standards while mentoring and empowering the team
- Partner cross-functionally with Data, Insights, Revenue, and Engineering to drive ARR growth and optimize processes and pipelines
- Report to the Head of Data
Requirements
What you’ll need- 8+ years of experience in data analytics, data operations, or consulting
- 2+ years in a lead or management capacity
- 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
- Familiarity with Github and Databricks
- Strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies
- Experience building and maintaining production-grade data workflows
- Strong ownership mindset
- Strong communication skills
- Ability to work and project manage effectively with stakeholders across technical and non-technical teams
- Must not currently or in the future require visa sponsorship
- Work authorization in the United States
Benefits
Comp & perks- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Equity
- Fully remote work within the United States