Business Intelligence Analyst
OpenLoop
PythonSQLTableau
HR Data Analyst – Human Resources, Financial Services
FLORES
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonSQLTableau
About the role
- Collect and compile HR data from HRIS, ATS, performance management systems, engagement surveys, and other relevant databases.
- Ensure data accuracy and integrity by implementing data validation and cleansing processes.
- Maintain and update HR databases and dashboards.
- Develop and document data management processes and procedures.
- Analyze HR data to identify trends, patterns, and correlations related to recruitment, retention, performance, compensation, diversity and inclusion, and learning and development.
- Develop and generate regular and ad-hoc reports and dashboards to communicate HR data insights to stakeholders, including HR team members, managers, and senior leadership.
- Present data findings in a clear, concise, and visually appealing manner using charts, graphs, and other data visualization techniques.
- Respond to data requests from stakeholders, providing accurate and timely information.
- Translate data analysis into actionable insights and recommendations to improve HR processes, programs, and strategies.
- Collaborate with HR stakeholders and other departments to understand data needs and develop data-driven solutions.
- Identify opportunities to improve data collection, analysis, and reporting processes; support implementation of new HR technologies from a data perspective.
- Ensure compliance with data privacy regulations and maintain confidentiality of sensitive HR data.
Requirements
- Bachelor's degree in Statistics, Data Science, Computer Science, Business Analytics, or a related field.
- 2+ years of experience in a data analyst role, preferably in an HR context.
- Strong proficiency in Excel (advanced functions, pivot tables, macros).
- Proficiency in SQL.
- Experience with data visualization tools (e.g., Tableau).
- Experience working with HRIS and ATS systems.
- Familiarity with statistical analysis techniques and software (e.g., R, Python) is a plus.
- Strong analytical and problem-solving skills with attention to detail and accuracy.
- Excellent written and verbal communication skills; ability to communicate technical information to non-technical audiences.
- Ability to create clear and compelling data visualizations.
- Understanding of key HR metrics and their business implications.
- Strong organizational and time management skills; ability to manage multiple projects and priorities.
- Ability to work independently and as part of a team.
- Commitment to data privacy and confidentiality.
