Key Details
* JOB TITLE: Data Partnering Analyst
* SALARY: £31,010
* LOCATION(S): Bristol
* HOURS: A full-time role working 35 hours per week
* WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.
About this Opportunity
An exciting opportunity for a Data Partner Analyst! You'll play an important role in the P&P Data Hub acting as a bridge between People data analytics and stakeholders in our HR division and across the organisation.
You'll facilitate effective data-driven decision-making by promoting data products, providing actionable insights, and upskilling colleagues in data literacy, ultimately contributing to optimised workforce management and strategic People initiatives.
Responsibilities:
* Promote the value of data-driven decision-making by showcasing how HR data products can support business needs.
* Support efforts to simplify and automate reporting and analysis processes, making data more accessible and reducing manual work.
* Work closely with HR teams and other business partners to understand their data needs and provide relevant insights.
* Analyse HR data and use this to communicate meaningful insights in a clear and engaging way to help us make informed decisions.
* Support efforts to improve data literacy by helping colleagues understand and use data effectively.
* Develop a solid understanding of HR data products, their purpose, and how they can be used to support decision-making and follow standard methodologies in data management to ensure data accuracy and consistency.
About Us
We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you.
What You'll Need:
* Data Literacy: Comfortable working with data and able to explain insights to non-technical collaborators.
* Stakeholder Engagement: Good interpersonal skills to work effectively with colleagues at different levels.
* Data Presentation: Ability to communicate data insights clearly through reports, presentations, and visualisations.
* HR & Organisational Change Knowledge: Some understanding of HR processes and workforce planning would be beneficial.
* Communication: Strong written and verbal communication skills to convey insights in a clear and engaging way.
* Training & Facilitation: Willingness to support data literacy initiatives, helping colleagues become more confident with data.
* Problem-Solving: Analytical mentality with a proactive approach to solving data-related challenges.
And Any Experience of These Would Be Really Useful:
* Data Analysis Tools: Experience with Microsoft Excel and Power BI would be useful, but training can be provided.
* Cloud Technology Knowledge: Some awareness of cloud platforms (e.g., Google Cloud Platform) is a plus but not essential.
About Working for Us
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.
We want our people to feel that they belong and can be their best, regardless of background, identity or culture.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.
And it’s why we especially welcome applications from under-represented groups.
We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
We Also Offer a Wide-Ranging Benefits Package, Which Includes:
* A generous pension contribution of up to 15%
* An annual performance-related bonus
* Share schemes including free shares
* Benefits you can adapt to your lifestyle, such as discounted shopping
* 24 days’ holiday, with bank holidays on top
* A range of wellbeing initiatives and generous parental leave policies
If you’re excited by the thought of becoming part of our team, get in touch.
We’d Love to Hear from You.
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