People Analytics Analyst
Indexed description
We are seeking a curious, analytical, and forward-thinking People Analytics Analyst to join our HR Operations & Technology team. This role blends people analytics, business intelligence, data automation, and emerging AI capabilities to help leaders make data-driven workforce decisions.
The ideal candidate is technically skilled and experienced in building dashboards, automating data processes, and transforming complex data into actionable insights. You will partner closely with HR, Finance, and business leaders to define key workforce metrics, identify trends, and deliver analytics that drive strategic decision-making.
You will work with tools including Power BI, Snowflake, Python, APIs, and AI-driven analytics solutions to build scalable reporting and insights capabilities.
This is a hybrid position based in our Indianapolis office (WTHR), with an in-office presence required three days per week.
Responsibilities
- Analyze workforce data to identify trends, patterns, and opportunities related to hiring, retention, engagement, compensation, and organizational effectiveness.
- Define, document, and standardize key people metrics and reporting methodologies across the organization.
- Design, develop, and maintain interactive dashboards and reports using Power BI and other visualization tools; use APIs to automate and connect data sources.
- Collaborate with HR and business stakeholders to understand reporting needs, translate them into scalable analytics solutions, and clearly communicate insights and recommendations in a concise, actionable way.
- Develop automated data pipelines and workflows to improve reporting efficiency and data accuracy.
- Integrate and manage data from multiple sources using APIs, data connectors, and automation tools.
- Leverage AI and machine learning techniques to support predictive analytics, anomaly detection, and trend analysis.
- Ensure data quality, consistency, and governance across people-related data sources.
- 3+ years of experience in data science, business intelligence or a related field.
- Experience working with HR, workforce, or people-related data.
- Strong proficiency with Power BI, including dashboard development, data modeling, and visualization best practices.
- Advanced Excel skills for data analysis and reporting.
- Experience with Python, R, or another scripting language for data analysis and automation.
- Experience working with APIs and data integrations
- Familiarity with HR technology platforms such as UKG Pro, Greenhouse, ServiceNow, or similar systems.
- Experience with Snowflake or other cloud-based data platforms.
- Exposure to statistical analysis, predictive modeling, or machine learning techniques.
Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA’s 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one.
Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor’s appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health.
TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year.
- Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union.
Recruiting Fraud Alert
To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains.
Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers.
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