Remote Data Analyst

This position will lead the development of Talent Acquisition reporting and data visualization solutions, ensuring data integrity, and partnering with business stakeholders to define and measure key performance indicators (KPIs) to achieve strategic business objectives.

Key Responsibilities

• Lead the design, development, and maintenance of comprehensive solutions, including dashboards, reports, and data models using tools like Power BI or Tableau. Take recruitment and operational data to build comprehensive reporting and PowerBI dashboards.
• Perform deep-dive analysis and apply advanced statistical methods to identify trends, forecast performance, and model business scenarios for executive leadership.
• Establish and champion data integrity protocols. Partner with IT and Data Engineering teams to monitor, improve, and enforce data quality standards across Talent Acquisition reporting systems.
• Serve as the subject matter expert for data and analytics, collaborating with cross-functional teams (e.g., Finance, Operations, Sales) to translate Talent Acquisition business requirements into data.
• Write complex SQL queries to extract, transform, and load data from various sources (data warehouses, transactional systems) to support reporting needs and ad-hoc analysis.
• Identify opportunities to streamline and automate existing reporting and data manipulation processes, enhancing efficiency and reducing manual effort.

Qualifications

• 7+ years of progressive experience in a Data Analysis or Data Science role.
• OR Bachelor’s Degree in Business Analytics, Computer Science, Information Systems, or a related quantitative field AND 2+ years of progressive experience in a Business Intelligence, Data Analysis, or Data Science role.
• Experience in HR/Talent Analytics: Proven experience designing, developing, and implementing end-to-end data solutions (dashboards, reports, and predictive models) that analyze the entire recruiting and hiring pipeline, from candidate sourcing to offer acceptance and retention.
• Experience with HRIS/ATS data models (e.g., TargetRecruit, iCIMS, Workday).

Skills

• Expert proficiency in a major BI visualization tool (e.g., Power BI, Tableau).
• Advanced proficiency in writing complex SQL for data extraction and manipulation.
• Strong experience with data warehousing concepts and data transformation (ETL) processes.
• Proficiency in MS Excel for complex data modeling and analysis.
• Strong written and verbal communication skills, with a proven ability to translate complex technical findings into clear, non-technical business recommendations for all levels of management.

Performance Expectations

• Maintain a data quality score of 99.5% across critical, production-level reporting dashboards.
• Resolve critical data discrepancy issues and deliver standard, repeatable reports within agreed-upon SLAs.
• Identify and implement automation or process enhancements that result in a measurable reduction in recurring manual effort across recruiting, HR, and operations teams.