Torchora
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Key Responsibilities and Required Skills for an Enrichment Specialist

💰 $65,000 - $90,000

Data & AnalyticsSales OperationsMarketing OperationsBusiness Intelligence

🎯 Role Definition

The Enrichment Specialist is a critical role responsible for enhancing, cleansing, and maintaining the accuracy of our company's data assets, particularly within our CRM and other business systems. This individual will execute data quality initiatives, manage data from third-party sources, and uphold data governance standards. By ensuring our data is accurate, complete, and reliable, the Enrichment Specialist empowers our go-to-market teams to make smarter decisions, engage the right customers, and drive revenue growth. You are the foundation upon which our data-driven strategies are built.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Data Entry Clerk / Coordinator
  • Junior Data Analyst
  • Research Analyst
  • Sales or Marketing Coordinator

Advancement To:

  • Senior Data Enrichment Specialist / Data Quality Lead
  • Data Steward or Data Governance Analyst
  • Business Intelligence Analyst
  • Sales Operations Analyst

Lateral Moves:

  • Marketing Operations Specialist
  • Business Systems Analyst
  • Junior Data Engineer

Core Responsibilities

Primary Functions

  • Execute comprehensive data cleansing and deduplication processes within our CRM to ensure a single, reliable source of truth for all account and contact records.
  • Proactively source, research, and integrate data from various third-party providers (e.g., ZoomInfo, D&B) and public sources to augment and enrich existing datasets.
  • Perform rigorous manual and automated data validation checks to maintain the highest levels of data accuracy, completeness, and consistency across all business systems.
  • Develop and implement robust data enrichment strategies to append missing firmographic, technographic, and contact-level information to our core customer and prospect database.
  • Systematically identify data quality issues, conduct thorough root cause analysis, and implement effective solutions for both immediate remediation and long-term prevention.
  • Manage and maintain complex data hierarchies, including parent-child relationships for corporate accounts, to support accurate territory alignment and sales reporting.
  • Monitor, measure, and report on key data quality metrics and SLAs, delivering regular updates to stakeholders on the overall health of our data ecosystem.
  • Standardize, normalize, and transform data fields according to established data governance policies and industry best practices.
  • Fulfill data scrubbing and list import requests from sales and marketing teams, ensuring all new data adheres to strict quality standards before system entry.
  • Classify and segment accounts based on industry, geography, employee count, and other critical firmographic attributes to support precise, targeted go-to-market campaigns.
  • Conduct regular, scheduled audits of our CRM and integrated platforms to identify and correct data drift and decay over time.
  • Investigate, troubleshoot, and resolve data discrepancy tickets submitted by end-users, ensuring timely and accurate corrections with clear communication.
  • Curate and govern master data records for our most critical business domains, acting as a key steward for our valuable data assets.
  • Develop and maintain comprehensive documentation for data standards, enrichment processes, and operational workflows to ensure consistency and knowledge sharing.
  • Verify and update contact information, job titles, and roles to ensure our sales and marketing outreach is accurate and effective.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis to uncover insights and answer critical business questions for various departments.
  • Contribute to the organization's overarching data strategy and roadmap by providing expert insights on data quality, governance, and enrichment opportunities.
  • Collaborate effectively with business units, including Sales, Marketing, and Customer Success, to understand and translate their data needs into actionable engineering and operational requirements.
  • Participate actively in sprint planning, daily stand-ups, and retrospectives as part of an agile data or operations team.
  • Assist in the evaluation, testing, and implementation of new data tools and technologies designed to enhance our data quality and enrichment capabilities.
  • Provide training and create support materials for business users on data quality best practices and proper data entry procedures to foster a culture of data excellence.
  • Work closely with the data engineering team to help define requirements and logic for automated ETL jobs and data integration pipelines.
  • Analyze and quantify the business impact of poor data quality, presenting findings and recommendations to leadership to drive strategic improvements.

Required Skills & Competencies

Hard Skills (Technical)

  • Advanced Spreadsheet Proficiency: Mastery of Microsoft Excel or Google Sheets, including complex formulas, pivot tables, VLOOKUP/INDEX MATCH, and Power Query for data manipulation and analysis.
  • SQL Competency: Strong ability to write SQL queries to extract, manipulate, and validate data from relational databases.
  • CRM Experience: Hands-on experience with a major CRM platform, preferably Salesforce, including data loading (e.g., Data Loader), report building, and understanding of the standard object model.
  • Data Enrichment Tools: Direct experience using third-party data enrichment and intelligence platforms such as ZoomInfo, Clearbit, Dun & Bradstreet, or similar providers.
  • Data Quality Principles: Solid understanding of data quality dimensions, data governance frameworks, and master data management (MDM) concepts.
  • ETL Concepts: Foundational knowledge of ETL (Extract, Transform, Load) processes and how data moves between systems.
  • Data Visualization: Basic ability to create simple charts and dashboards in tools like Tableau, Power BI, or CRM-native reporting to communicate data quality trends.

Soft Skills

  • Extreme Attention to Detail: A meticulous and precise approach to work, with an unwavering commitment to accuracy and data integrity.
  • Analytical & Problem-Solving Mindset: The ability to logically dissect complex data issues, identify root causes, and develop effective, scalable solutions.
  • Exceptional Time Management: Proven ability to organize, prioritize, and manage multiple projects and competing deadlines in a fast-paced environment.
  • Clear Communication: The ability to articulate technical data concepts and the business value of data quality to both technical and non-technical audiences.
  • Inherent Curiosity: A proactive and inquisitive nature with a passion for solving puzzles, improving processes, and continuously learning new skills.
  • Collaborative Team Player: A strong ability to work effectively and build relationships with cross-functional teams to achieve common goals.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor’s Degree or equivalent, relevant professional experience in a data-focused role.

Preferred Education:

  • Bachelor’s or Master's Degree in a quantitative or business-oriented field.

Relevant Fields of Study:

  • Information Systems
  • Business Administration
  • Data Science or Analytics
  • Economics or Statistics
  • Computer Science

Experience Requirements

Typical Experience Range: 2-5 years of experience in data management, data analysis, sales/marketing operations, or a similar role focused on data quality.

Preferred:

  • Demonstrable experience in a B2B SaaS or technology company.
  • Proven track record of improving data quality that led to measurable business outcomes (e.g., increased lead conversion, improved sales efficiency).
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