Reward Data and Systems Analyst

Canada Life; London; On-site; GBP 40,000 - 70,000; Part time

Job description

Location: London

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation.

Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.

Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.

Job Summary:

Working in the UK Reward team, you will be collaborating with key stakeholders to model, analyse and provide insight on compensation data for the reward team and for the business. The role will also involve compensation system development and process improvement across reward processes and practices. This will include accurate production, analysis and submission of data to providers and modelling of pay gap data, ensuring we adhere to our reporting requirements and support our diversity, equity and inclusion agenda. The role will play a key role in supporting system enhancements and annual configuration changes for our annual review system on SuccessFactors.

You will be responsible for ensuring system data integrity and taking necessary steps to maintain data to support wider reporting across the business, managing effective People reporting. This role will be integral to process improvement and automation and will be done via collaboration across the UK and European reward teams and wider People Strategy function.

Responsibilities:

1. Responsible for data analysis and modelling of compensation and PS data, using medium to large data sets. Reporting and data analysed will provide insight for the reward and compensation team and across PS. This will include analysing executive level compensation data as well as using market data from survey providers to model total compensation packages and provide data and insight to the Head of Reward and Compensation Manager on the competitiveness of our reward proposition.
2. Lead on maintenance and continuous improvement of the Compensation and Variable pay module as part of the year-end salary and bonus review, including involvement in lessons-learned and process improvement activity that will ensure system integrity and ease of use for end-users.
3. Ensure CVP is tested and fully set up for end-to-end cycle in Q1 each year. Completion of all analytical requirements for the annual review cycle which is managed on Success Factors and carry out UAT, regression and any SAP testing related to CVP updates and releases. Assist with the data cleansing exercises in preparation for the year-end cycle.
4. Extracting data from compensation and share plan systems to resolve queries and use in data modelling and salary survey submissions. Supporting and analysing data associated with remuneration disclosures and responsible for responding to data and information requests from external bodies and internal teams.
5. Support governance processes related to DPIAs and reward process documentation and roadmaps to ensure we have documented, clear and robust processes.
6. Provide day-to-day support to colleagues in the Reward and wider PS team as required, including monitoring of the collective reward inbox to triage and address reward queries in a timely and efficient manner.

Experience Required:

• Experience working in a HR systems or HR reward role as a subject matter expert within a centre of excellence HR model is essential.
• Very strong analytical, data modelling and numerical skills.
• Advanced user of Microsoft Office, especially Excel. Experience using vlookups, xlookups, Pivot tables, Index Matching, IF/SUM formulae with multiple data sets.
• Ability to manage and interpret large sets of data and ideally demonstrable understanding of Power BI.
• Previous experience using SAP Success Factors (specifically CVP) with a strong understanding of the system and process improvements.
• Experience with JIRA and Confluence or other HRIS ticketing systems.
• Detailed approach to managing data, exercising discretion and confidentiality at all times.
• Able to provide a positive partnering approach with colleagues and stakeholders.
• Ability to work within a virtual team with colleagues and stakeholders spread across multiple locations.
• Strong delivery and customer focus.
• Proactive and self-reliant.
• Communicates clearly and effectively across all levels of management.
• Strong knowledge of the financial services regulatory environment.
• Demonstrates a high level of personal organisation. Able to manage multiple tasks effectively at any one time.

Qualifications:

Ideally the job holder will be working towards the SAP SF accreditation, but this is not mandatory.

Benefits of working at Canada Life:

We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that's regularly reviewed. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with income protection, private medical insurance and life assurance.

Diversity and inclusion:

Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us.