Senior Data Analyst

• Lead 2-4 major cross-functional projects (1 quarter–1 year) to improve company data quality, coverage, and strategic impact
• Own the location verification project end-to-end, delivering measurable gains in address accuracy, international coverage, and industry-specific quality
• Solve complex challenges such as collecting structured data from directories, handling language/encoding issues, and filtering irrelevant addresses using analysis, manual research, and creative problem-solving
• Establish repeatable frameworks for testing, validation, and problem-solving, combining technical analysis with hands-on observation
• Build trusted partnerships across Data Acquisition, Shared Services, Product, and Engineering to co-develop solutions and assess feasibility
• Create standardized project scoping, testing, and validation methodologies that balance analytical rigor with practical implementation
• Translate immediate data quality insights into long-term pipeline improvements and transition mature projects to pipeline teams
• Produce clear, reusable documentation of project approaches, logic, and lessons learned
• Lead multi-quarter programs that provide measurable competitive advantage and long-term pipeline improvements
• Serve as a trusted advisor to Product, Engineering, Data Acquisition, and Data Leadership teams

Requirements

• Bachelor’s degree in Math, Physics, Engineering, Computer Science, Statistics, or related field
• 5+ years in data analytics (advanced degree preferred)
• Proven track record leading complex, multi-quarter, cross-functional data projects
• Advanced programming skills for analysis (Python, R, SQL)
• Strong statistical modeling capabilities
• Experience with company data, web data acquisition, or data quality initiatives
• Strong problem-solving skills, project management, and stakeholder coordination abilities
• Excellent communication skills—ability to translate technical findings into compelling narratives
• Demonstrated ownership mentality, with ability to work independently on multiple complex initiatives
• Knowledge of web data acquisition, HTML/DOM structures, or directory/data extraction systems is a plus
• Experience creating data visualizations and presenting technical findings to executive stakeholders

🔍 ATS Optimization Keywords
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Hard Skills

• data analytics
• Python
• R
• SQL
• statistical modeling
• data visualization
• web data acquisition
• HTML
• DOM structures
• data extraction

Soft Skills

• problem-solving
• project management
• stakeholder coordination
• communication
• ownership mentality
• creative problem-solving
• analytical rigor
• collaboration
• trust building
• documentation

Certifications & Qualifications

• Bachelor’s degree
• advanced degree (preferred)