Data Operations Specialist
Listed on 2026-07-09
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IT/Tech
Data Analyst, Data Engineering, Business Intelligence, Business Systems/ Tech Analyst
Benchmark International, a global mergers & acquisitions firm, is seeking a highly analytical and detail‑oriented Data Operations Specialist to support the data infrastructure that powers our business development and demand generation teams. The Data Operations Specialist will play a critical role in ensuring Benchmark's prospect, company, and partner data remains accurate, organized, enriched, and actionable. This position is responsible for sourcing, validating, cleansing, enriching, and maintaining large datasets from multiple internal and external sources to support outbound business development efforts and strategic growth initiatives.
This role is ideal for an individual who enjoys working with large datasets, building scalable processes, solving data quality challenges, and leveraging technology to improve operational efficiency. The successful candidate will combine technical aptitude with strong business acumen to help Benchmark identify and engage qualified business owners and referral partners throughout the United States.
Key ResponsibilitiesAs a Data Operations Specialist, you will be responsible for managing and enhancing the data ecosystem that supports Benchmark International's growth demand generation initiatives.
Your specific duties will include:
- Acquire, import, validate, enrich, and maintain company, contact, and referral partner data from multiple internal and third‑party sources.
- Build and manage prospect datasets for business development campaigns.
- Perform ongoing data hygiene activities, including deduplication, normalization, and record standardization.
- Execute data enrichment workflows utilizing platforms such as Clay, Zoom Info, Cognism, Inven, and other data providers.
- Develop and maintain SQL queries to extract, transform, and analyze business and contact data.
- Support the creation and maintenance of data warehouses and reporting environments.
- Collaborate with Demand Generation, Strategic Partnerships, Market Research, and Business Development teams to deliver targeted prospect lists.
- Identify and resolve data integrity issues across CRM and marketing automation platforms.
- Monitor data quality metrics and proactively recommend process improvements.
- Assist in designing and implementing automated data workflows and enrichment processes.
- Manage data imports, exports, and integration activities between various technology platforms.
- Create reports and dashboards that provide visibility into data quality, prospect coverage, and campaign readiness.
- Continuously evaluate new data sources, technologies, and methodologies to improve Benchmark's targeting capabilities.
- Document data management processes and establish best practices for ongoing governance.
- Meet or exceed all performance and operational goals.
As a Data Operations Specialist, you must be highly organized, process‑driven, and capable of maintaining exceptional attention to detail while managing large volumes of information. You should possess strong analytical abilities and a passion for transforming raw data into actionable business intelligence.
Specific qualifications include:
- Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Marketing, or a related field preferred.
- 2+ years of experience in Data Operations, Revenue Operations, Marketing Operations, Sales Operations, or a related discipline.
- Advanced proficiency in SQL and data querying.
- Experience working with CRM platforms such as Salesforce, Hub Spot, or similar systems.
- Experience utilizing data providers such as Zoom Info, Cognism, Apollo, Data Axle, Clay, or comparable platforms.
- Strong understanding of data hygiene, enrichment, validation, and governance best practices.
- Ability to manage large datasets while maintaining a high level of accuracy.
- Experience working with spreadsheets and data analysis tools.
- Familiarity with ETL processes, data integration tools, and workflow automation platforms is preferred.
- Strong analytical and problem‑solving skills.
- Ability to identify process inefficiencies and develop scalable solutions.
- Excellent communication and organizational skills.
- Ability to work independently while collaborating…
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