As entrepreneurs ourselves, we understand the unique challenges startups face managing their rollercoaster growth. We’ve lived it. We know that even well-funded teams can lack the bandwidth to recruit, train, and integrate the operations staff needed to meet growing demand. And that even when the right employees are in place, many companies lack the crucial mid-management layer needed to drive employee performance and process improvements. Hugo was created with the high-growth startup in mind. We custom build or augment existing operations teams for companies in scaling mode, leaving founders and senior management to focus on what matters most: growth.
WHAT YOU'LL BE DOING
- The Data Analyst, Talent Hub, will play a critical role in leveraging data to drive efficiency, accuracy, and strategic decision-making across the talent sourcing and assessment lifecycle. The role involves managing data flows across various platforms, analyzing assessment and performance metrics, and developing insightful dashboards and reports to support management decisions on talent supply, recruitment funnel health, and client headcount demand.
Key Responsibilities
Data Management and Integration
- Collect, organize, and maintain data from multiple sources, including application platforms, assessment tools, and internal databases.
- Liaise with third-party testing and application vendors to ensure accurate, consistent, and timely data transfer.
- Ensure data integrity, consistency, and security across all talent-related databases.
- Support the continuous improvement of data collection and reporting systems to enhance reliability and usability.
Data Analysis and Reporting
- Collate and analyze test and assessment results to identify performance trends, readiness levels, and skill distribution across the talent pool.
- Filter and segment the Talent Hub database to match client requirements and recruitment priorities.
- Generate periodic and ad-hoc management reports highlighting key metrics such as talent pipeline health, conversion rates, assessment outcomes, and sourcing efficiency.
- Build and maintain interactive dashboards to visualize key insights for leadership and operational teams.
- Track and report on alignment between talent availability and client headcount demand.
- Provide data-driven insights to inform recruitment strategies, sourcing optimization, and upskilling priorities.
Governance and Quality Assurance
- Maintain data quality standards through routine validation, cleaning, and documentation.
- Support compliance with data protection regulations and internal data governance frameworks.
- Create and update reporting templates and standard operating procedures for reporting and analysis.
Qualifications And Experience
- Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related field.
- 2–4 years’ experience in data analytics, preferably within HR, recruitment, or operations environments.
- Proven ability to work with large datasets and integrate data from multiple platforms (e.g., Zoho, test/assessment systems, ATS tools).
- Advanced proficiency in Excel/Google Sheets, SQL, and data visualization tools such as Power BI, Tableau, or Google Data Studio.
- Strong analytical mindset, with the ability to translate data into actionable business insights.
- Experience creating and automating dashboards and management reports.
- Familiarity with recruitment or talent analytics is a strong advantage.
Key Competencies
- Exceptional attention to detail and data accuracy.
- Strong problem-solving and critical-thinking abilities.
- Excellent communication skills — able to explain technical findings to non-technical stakeholders.
- Highly organized, with the ability to prioritize and manage multiple tasks in a fast-paced environment.
- Collaborative and proactive approach to supporting business decisions through data.
Method of Application
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