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Hr data and insights advisor - london business school, regents park, nw1 4sa

Sutton-in-ashfield
London Business School
Will advisor
Posted: 24 December
Offer description

HR Data and Insights Advisor - London Business School, Regents Park, NW1 4SAThe RoleAre you an experienced Data Analyst?We are looking for a proactive and detail-oriented Data Analyst to join our fast-paced People team. In this pivotal role, you will help shape the School’s people analytics capability by designing, developing, and optimising data solutions to drive strategy, improve the employee experience, and influence business outcomes. This role requires expertise in data analysis and reporting (Business Objects, Power BI, Excel, etc.), and a passion for visualising stories and creating meaningful insights from data. You will be responsible for upholding data quality and accuracy standards. You will use your analytical and technical skills, business acumen, and flair for visual storytelling to turn data into clear, actionable insights, working closely with stakeholders across People, Technology, and the wider School. You will champion a culture of evidence-based decision-making through the production of reports and analytics, and play a key part in our digital transformation by developing self-service dashboards and contributing to robust data governance frameworks.Main ResponsibilitiesPartner with People leaders and stakeholders across the School to understand requirements and proactively recommend solutions.Perform strategic analysis of data from multiple sources to identify patterns and correlations relevant to the People team’s objectives.Produce timely and accurate reports, continuously seeking opportunities for improvement.Leverage our systems (iTrent, Business Objects, Power BI, and others) to enhance, build, and redesign dashboards and reports, ensuring data is visualised in an accessible and impactful way.Monitor GDPR compliance across the People team, protecting the reputation and brand of London Business School.Who we are looking forProven experience in People data analytics, including the end-to-end process of data collection, structuring, advanced analysis, and the production of dashboards and reports to support business decisions.In-depth knowledge and practical experience with business intelligence and data visualisation tools, including Power BI, Business Objects (used in conjunction with iTrent), and Excel.Expertise in data governance, including establishing and maintaining clear data ownership, role-based access controls, accountability structures, and comprehensive documentation.Strong track record of ensuring data quality, including implementing data validation, cleansing, assurance, and continuous quality improvement processes to ensure accuracy, completeness, and timeliness.Advanced understanding of data integration and automation, including experience handling complex data imports, data transformation, cross-system data flows, and automation of analytics processes.Thorough understanding of data compliance requirements (GDPR, DPA 2018), and experience supporting or leading activities such as Records of Processing Activities (ROPAs), Data Protection Impact Assessments (DPIAs), and Transfer Risk Assessments (TRAs).Experience managing data privacy, retention, audit, and security, including secure storage, controlled access, appropriate archiving, and timely deletion of data in line with policies and best practices.Ability to provide expert support and training on data tools and self-service analytics to a range of stakeholders, helping to build analytical confidence and data literacy across teams.Excellent written and verbal communication skills, with the ability to convey complex technical and analytical concepts clearly to both technical and non-technical audiences.Proven ability to build collaborative relationships and influence a data-informed culture.Strong organisational skills, attention to detail, and a proactive, solution-focused approach to problem-solving.Familiarity with the ethical and innovative application of AI and automation within people analytics is desirable.Why London Business SchoolLondon Business School; a global and vibrant business community basedin two of the world's most dynamic cities, London and Dubai. It'swhere extraordinary minds and diverse perspectives connect, to have aprofound impact on the way the world does business and the waybusiness impacts the world. We offer best in class hybrid learning toour students and participants, whilst creating a flexible, su...What you can expect from us Generous annual leave of 27 days plus extra between Christmas and New Year Generous pension package, 14.5% employer contribution (in return for employee enrolment and contribution) Free onsite gym and swimming pool Amazing range of professional development to support your career path Enhanced cycle to work scheme Wellbeing offering to support your physical, mental and financial health Up to 5 days paid emergency leave for staff who have caring responsibilities for a family member, dependent or friend who is ill.All enjoyed in a Smart (hybrid) Working environment so we’re looking forward to discussing how, where and when you might work best to deliver in your new role.Our commitment to driving inclusion and belonging We are a globally reaching institution, committed to creating tangible and sustainable change in driving inclusion & belonging within our School, education and society at large. We are dedicated to creating an environment where everyone in our community feels they belong and thrive. This is a key school priority, and we want everyone who joins LBS to feel respected, welcomed, and heard.Candidates needing sponsorship should assess their eligibility for a Certificate of Sponsorship by evaluating their circumstances against the relevant criteria before applyingPlease note we start screening CVs and interviewing candidates from the start of a campaign. A successful candidate could progress to offer before the advertised closing date. We encourage you to apply as soon as possible if you are interested in any roles.

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