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Technical Data Consultant
Company | ZoomInfo |
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Location | Waltham, MA, USA |
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Salary | $112000 – $154000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Mid Level, Senior |
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Requirements
- 3-5 years in supporting B2B data initiatives focused on engineering, analytics, or similar technical roles working with B2B sales operations, marketing operations, or revenue operations teams
- Strong proficiency in SQL and Python for B2B data manipulation and analysis
- Experience working with large datasets of company and contact information
- Knowledge of B2B data processing methodologies and record matching/deduplication techniques
- Ability to optimize queries and data processing for performance with large B2B datasets
- Experience with CRM data integration and API-based data synchronization
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related technical field
Responsibilities
- Design and implement data processing methods/pipelines to transform raw B2B data into valuable client deliverables
- Develop solutions for B2B data enrichment, cleansing, and normalization
- Perform complex analysis on company, contact, and intent data using SQL, Python, and other technical tools
- Create reusable code modules for common B2B data operations (territory analysis, TAM modeling, etc.)
- Implement data quality checks and validation procedures specific to B2B data challenges
- Provide technical expertise on ZoomInfo’s B2B data structure and optimal query methodologies
- Actively participate in customer engagement sessions with DaaS Consultants and Advisors
- Define business requirement needs and document rules and logic for use in client implementations
- Ability to understand and solve qualitative problems and present or explain solutions to an audience using top-quality, audience-appropriate communication
- Enable clients to maximize the benefits of their ZoomInfo partnership through best practices, innovative thinking and process improvement
- Demonstrate strong client management by actively engaging in customer sessions alongside DaaS Consultants and Advisors
- Apply quantitative analysis and data visualization to tell the story behind the numbers all while supporting data-driven decision making
- Use technical skills, problem-solving and business knowledge to deliver custom datasets to clients that meet or exceed their expectations
- Implement proactive improvements to processes and methods for gathering and aggregating data
- Find creative solutions to problems when limited information is available
Preferred Qualifications
- Hands-on experience with firmographic, technographic, or intent data sources preferred
- Strategic mindset with strong operational execution capabilities
- Excellent communication skills across technical and business audiences
- Analytical rigor combined with business acumen