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People Operations Partner

Concept Resourcing
Posted 25 days ago, valid for a month
Location

Witney, Oxfordshire OX281AJ, England

Salary

£35,000 - £55,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Role: People Operations Partner
  • Location: Hybrid - Flexible on location
  • Salary: £45,000 plus bonus and other benefits
  • Year of Experience Required: Proven experience in a similar People/HR role, preferably in a fast-paced environment
  • Key Responsibilities:
    • Data Analysis and Interpretation
    • Trend Identification and Forecasting
    • Performance Metrics Development
    • Data Visualisation and Reporting
    • Collaboration and Stakeholder Engagement

Role: People Operations PartnerLocation: Hybrid - Flexible on locationSalary: £45,000 plus bonus and other benefitsAre you passionate about leveraging data to drive impactful decisions and shape the future of Human Resources? Do you thrive in a dynamic environment where your analytical skills are valued, and your insights make a real difference? If so, we have the perfect opportunity for you!

Concept-IT are delighted to be partnering a growing Technology business as they look to recruit a People Operations Partner. They believe in the power of data to transform HR practices and unlock the full potential of the workforce. We are seeking a talented and motivated People Operations Partner to join the busy HR team and play a key role in revolutionising how they understand and optimise our human capital.

Key Responsibilities:

  1. Data Analysis and Interpretation: Utilise advanced analytical techniques to extract, manipulate, and analyse HR data from multiple sources. Translate complex data into actionable insights that drive informed decision-making across all HR functions.
  2. Trend Identification and Forecasting: Identify trends and patterns within HR data, proactively anticipating future needs and challenges. Develop predictive models to forecast workforce trends, retention rates, and talent acquisition requirements.
  3. Performance Metrics Development: Design and implement comprehensive performance metrics and KPIs to evaluate the effectiveness of HR initiatives and programs. Continuously monitor and refine metrics to ensure alignment with organizational goals.
  4. Data Visualisation and Reporting: Create visually compelling dashboards and reports to communicate key HR metrics and findings to stakeholders at all levels of the organisation. Present findings in a clear and concise manner, enabling data-driven decision-making.
  5. Collaboration and Stakeholder Engagement: Partner closely with HR business partners, talent acquisition teams, and other stakeholders to understand their data needs and provide actionable insights. Collaborate cross-functionally to drive continuous improvement and innovation in HR processes.

Requirements:

  • Proven experience in a similar People/HR role, preferably in a fast-paced environment.
  • Proficiency in data manipulation and analysis using tools such as SQL, Excel, Python, or R. Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus.
  • Strong analytical mindset with the ability to think critically and solve complex problems.
  • Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
  • A passion for continuous learning and staying abreast of emerging trends and best practices in HR analytics.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.