People Analytics Manager (f/m/d)
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Position Overview & Specifications
Title: People Analytics Manager (f/m/d)
Requisition ID: 52893 Department: Location: Swindon, GB Germering, DE Nabern, DE Reading, GB Prague, CZ s-Hertogenbosch, NL Dublin, IE Lisbon, PT Munich, DE Istanbul, TR Bourne End, GB Edinburgh, GB Cork, IE Dresden, DE Sofia, BG Graz, AT Job Function: HRISAbout the role
Following huge growth and a series of significant company acquisitions, Renesas Electronics continue to grow as a global leader of Semiconductor embedded solutions. With a workforce of 21500 and a recent deployment of a new centralised Global Human Resources Function we have invested in and been integrating a HRIS (Success Factors) system into the company, with the objective of improving the efficiency of all our HR processes, by standardising and simplifying with a global mindset.
We are seeking a highly motivated People Analytics Manager to lead our efforts in using data and analytics to drive people-related decision making and strategy. The People Analytics Manager will be responsible for collecting, analyzing, and interpreting employee data to identify trends and insights, and for communicating these insights to stakeholders within HR and across the organization.
You will need to be hands on with a strategic lens. You will be working closely with stakeholders to support and evolve the HR data strategy from its very beginning, with the main aim to eventually focus on applying analytics to drive decision-making.
You will be working on a global scale but will have the autonomy within the team to really make a difference in this space. This autonomy requires a forward-thinking individual with the drive to take data analytics forward in Renesas. This is a fully remote position.
Role Responsibilities
- Partnering with key stakeholders across the business to understand their reporting vision and translate into actionable metrics and insight.
- Collect, analyze, and interpret large amounts of employee data to identify trends and insights.
- Communicate insights and recommendations to HR and business leaders, in a clear and compelling way.
- Design and implement HR analytics projects and initiatives that drive business results.
- Developing a People Data Governance model that supports our drive for robust data quality
- Working closely with colleagues in HR Technology and ISD to influence and shape data requirements for HR, and the underlying data systems and structures.
- Managing and taking forward data analytics across HR and the wider business
- Developing and driving continuous improvement of data analytics, to provide accurate business insight, enabling and supporting informed decision making
- Ensure data accuracy, privacy, and security.
- Day-to-day activities will also include responding to various customer requests and queries,
- To lead on supporting the decision and implementation of a global reporting tool fit for purpose for Renesas business needs
- Developing complex reporting on request
What we are looking for
- Experience in a HR Data Analytics role and proven ability to build this capability within an organisation.
- Experience in working with and managing HRIS datasets from a range of sources (Success Factors /Workday experience ideal)
- Practical experience with reporting solutions and data vizualization tools (e.g Tableau /Power BI) and statistical analysis software (e.g. Python, R, SAS).
- Exceptional stakeholder management and communication skills, with the ability to break down business thoughts to a clear and concise format
- Advanced understanding of HR technology platforms
- Ability to distil complex findings clearly and flex communication style to audience.
- Self motivated, proactive and capable of working on own initiative with limited supervision
- Global mindset
- Ability to manage a small team
Renesas Electronics Corporation (TSE: 6723) empowers a safer, smarter and more sustainable future where technology helps make our lives easier. A leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at renesas.com. Follow us on LinkedIn, Facebook, Twitter, YouTube, and Instagram.
Renesas’ mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders.
We are committed to creating a diverse culture where everyone is included and feels a sense of belonging. For more information, please read our Diversity & Inclusion Statement.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for People Analytics Manager (f/m/d) roles across Reality AI's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £27,959 - £32,852 bracket, including retirement vesting and health parity.
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