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- Tasks: Analyze HR data to provide insights that drive strategic decisions.
- Company: Join Strada, a dynamic organization focused on a positive and inclusive workplace.
- Benefits: Enjoy competitive salary, professional development, and a supportive work environment.
- Why this job: Be part of a team that leverages data for impactful HR strategies and initiatives.
- Qualifications: Experience in HR data analysis and proficiency in Excel and data visualization tools required.
- Other info: Remote work available for candidates in the US and UK.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: HR Data Analyst
Location: United States/ United Kingdom – remote
Strada is a dynamic and innovative organization committed to fostering a positive and inclusive workplace. We are seeking a talented HR Data Analyst to join our team and help us leverage data to drive strategic HR decisions.
Job Summary: The HR Data Analyst will be responsible for collecting, analyzing, and interpreting HR data to provide actionable insights that support our HR strategies and initiatives. This role requires a strong analytical mindset, attention to detail, and the ability to communicate complex data findings in a clear and concise manner.
Key Responsibilities:
- Data Analysis & Reporting:
- Collect and analyze HR data from various sources, including employee records, surveys, and HR systems.
- Develop and maintain HR dashboards and reports to track and present key HR metrics and trends.
- Create and maintain complex Excel models and dashboards to support HR reporting needs.
- Ensure data accuracy and integrity by performing regular data audits and validation checks.
- Perform detailed analysis of HR data to identify trends, patterns, and insights.
- Generate monthly reports on key HR metrics such as turnover rates, absence, employee engagement, and recruitment effectiveness.
- Support HR projects and initiatives by providing data analysis and insights.
- Stay up-to-date with industry trends and best practices in HR analytics.
- Data Interpretation:
- Understand the story behind the data and communicate/ present findings/insights in a clear and concise manner.
- Provide actionable recommendations based on data analysis to support business decisions.
- Identify patterns and trends in HR data to support workforce planning, talent management, and employee engagement initiatives.
- Collaboration with Centres of Excellence:
- Work closely with the Talent Acquisition, Talent Development, Diversity & Inclusion, Reward & Recognition, and Employee Experience teams to provide data insights and support their initiatives.
- Support Global HR Business Partners (HRBPs) with data analysis and trends to aid in key decision-making aligned with the company\’s strategy.
- Collaborate with HR and other departments to understand data needs and provide data-driven recommendations.
Qualifications:
- Proven experience as an HR Data Analyst or in a similar role.
- Strong proficiency in data analysis tools and software (e.g., Excel, SQL, HRIS systems).
- Advanced proficiency in Excel, including pivot tables, VLOOKUP, and complex formulas.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to present data insights clearly and concisely.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Advanced statistical analysis skills.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional development and growth.
- A supportive and inclusive work environment.
HR Data Analytics Specialist employer: Strada
Contact Detail:
Strada Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data Analytics Specialist
✨Tip Number 1
Familiarize yourself with the specific HR data tools mentioned in the job description, like Excel and SQL. Being able to demonstrate your proficiency in these tools during the interview will set you apart from other candidates.
✨Tip Number 2
Prepare to discuss real-world examples of how you've used data analysis to drive HR decisions in previous roles. This will showcase your ability to translate data into actionable insights, which is crucial for this position.
✨Tip Number 3
Stay updated on the latest trends in HR analytics and be ready to share your thoughts on how they can be applied at Strada. This shows your enthusiasm for the field and your commitment to continuous learning.
✨Tip Number 4
Highlight your collaboration skills by preparing examples of how you've worked with different teams to achieve common goals. This role requires working closely with various departments, so demonstrating your teamwork abilities will be beneficial.
We think you need these skills to ace HR Data Analytics Specialist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the HR Data Analyst position. Make sure you understand the key responsibilities and qualifications required, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data analysis tools and software, particularly Excel and any HRIS systems. Provide specific examples of how you've used data to drive HR decisions in previous roles.
Showcase Communication Skills: Since the role requires clear communication of complex data findings, include examples in your application that demonstrate your ability to present data insights effectively. This could be through past presentations or reports you've created.
Tailor Your Application: Customize your cover letter to reflect your understanding of Strada's commitment to a positive and inclusive workplace. Mention how your skills and experiences align with their values and how you can contribute to their HR strategies.
How to prepare for a job interview at Strada
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis in previous roles. Highlight your experience with tools like Excel and SQL, and be ready to explain complex data findings in a simple way.
✨Understand the HR Landscape
Familiarize yourself with current trends in HR analytics. Being able to discuss industry best practices will demonstrate your commitment to staying updated and your ability to apply this knowledge to support strategic HR decisions.
✨Prepare for Data Interpretation Questions
Expect questions that assess your ability to interpret data and provide actionable insights. Practice explaining how you would analyze specific HR metrics and what recommendations you might make based on those insights.
✨Emphasize Collaboration Skills
Since the role involves working closely with various teams, be ready to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and your ability to understand and meet different departments' data needs.
