Implementation Consultant - Pension Data in Newcastle upon Tyne

Implementation Consultant - Pension Data in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 50000 - 65000 € / year (est.) Home office possible
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At a Glance

  • Tasks: Lead data-focused implementation projects in the pensions sector and support clients throughout the process.
  • Company: Join a leading UK organisation transforming business processes with innovative technology.
  • Benefits: Enjoy a competitive day rate, remote work, and a commitment to equality.
  • Other info: Flexible working hours and opportunities for professional growth in a supportive environment.
  • Why this job: Make a real impact by simplifying complex pension data interactions and enhancing client experiences.
  • Qualifications: Strong analytical skills, SQL proficiency, and experience in pensions administration are essential.

The predicted salary is between 50000 - 65000 € per year.

We are supporting a leading UK organisation that delivers technology-enabled business process and operational services across multiple sectors. They specialise in simplifying complex interactions, modernising legacy operations and delivering large-scale transformation for clients with significant regulatory, data and compliance needs.

You will be responsible for delivering data-focused implementation work within a pensions environment, ensuring scheme information, configuration requirements, and data processes are accurately translated into system setup and delivered to a high standard. You will interpret and analyse pensions-related data, configure systems accordingly, and support clients throughout the implementation cycle.

  • Leading pension-focused data implementation projects within a structured project governance framework.
  • Meeting with clients to understand scheme rules, data structures and implementation requirements, then recommending appropriate solutions.
  • Translating business and technical requirements into accurate system configurations and documentation.
  • Performing configuration work, conducting quality checks and undertaking detailed pensions data analysis.
  • Providing informal guidance and support to junior team members.
  • Delivering internal and external training sessions and creating supporting documentation.
  • Contributing to platform enhancements, including analysis, requirements gathering and specification writing.
  • Identifying risks and issues early and ensuring appropriate mitigation measures are applied.

Knowledge of pensions administration, including DB, DC, CARE and annuities, and/or employee benefits processes.

Excellent analytical and problem-solving skills, particularly when working with pensions data.

Strong proficiency in SQL.

Advanced Excel capability, including pivot tables, lookups, macros, imports and validation.

Good understanding of relational database structures and data flows.

Experience with data migrations, including mapping and data-quality checks.

Experience with system testing or UAT within pensions or employee benefits contexts.

High attention to detail with a commitment to producing high-quality outputs.

Experience across the full project lifecycle, including governance, change control and documentation.

Ability to provide informal guidance and support to junior colleagues.

Understanding of payroll or broader employee benefits processes.

Experience using XML, shell environments, VBA, MS Access or similar technical tools.

Core Hours - 37.5 per week, Monday–Friday

Location - Remote

Day Rate - Competitive

We are committed to equality of opportunity for all hires and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Implementation Consultant - Pension Data in Newcastle upon Tyne employer: EQ Hazell Carr

Join a leading UK organisation renowned for its commitment to delivering technology-enabled solutions across various sectors. As an Implementation Consultant in the pensions data space, you will thrive in a supportive and collaborative work culture that prioritises employee growth and development, offering opportunities for training and mentorship. With a focus on innovation and excellence, this remote role allows you to contribute to meaningful projects while enjoying a competitive day rate and a strong emphasis on equality and diversity.

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Contact Detail:

EQ Hazell Carr Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Implementation Consultant - Pension Data in Newcastle upon Tyne

Tip Number 1

Network like a pro! Reach out to your connections in the pensions and data implementation space. Attend industry events or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!

Tip Number 2

Prepare for those interviews by brushing up on your SQL and Excel skills. Be ready to discuss how you've tackled data analysis and configuration challenges in the past. We want you to showcase your problem-solving prowess and attention to detail!

Tip Number 3

When you get the chance, ask insightful questions during interviews. This shows your genuine interest in the role and helps you understand if the company is the right fit for you. Plus, it gives us a chance to see how well you grasp the complexities of pensions data!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive and engaged with our process!

We think you need these skills to ace Implementation Consultant - Pension Data in Newcastle upon Tyne

Pensions Administration
Data Analysis
SQL
Advanced Excel
Relational Database Structures
Data Migrations
System Testing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with pensions data, SQL, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you the perfect fit. Don’t forget to mention your analytical skills and experience in delivering high-quality outputs.

Showcase Your Technical Skills:Since this role involves a lot of technical work, be sure to highlight your proficiency in SQL, Excel, and any other relevant tools. We love seeing examples of how you've used these skills in past roles, especially in pensions or employee benefits contexts.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at EQ Hazell Carr

Know Your Pensions Inside Out

Make sure you brush up on your knowledge of pensions administration, including DB, DC, CARE, and annuities. Being able to discuss these topics confidently will show that you understand the complexities of the role and can handle the data-focused implementation work.

Show Off Your SQL Skills

Since strong proficiency in SQL is a must-have, be prepared to demonstrate your skills during the interview. You might be asked to solve a problem or explain how you would approach a data-related task, so practice some common SQL queries beforehand.

Prepare for Client Interactions

As you'll be meeting with clients to understand their scheme rules and data structures, think about how you would approach these conversations. Prepare examples of how you've successfully gathered requirements in the past and recommend solutions based on your analysis.

Highlight Your Attention to Detail

This role requires a high level of accuracy, so be ready to discuss how you ensure quality in your work. Share specific examples of how you've conducted quality checks or handled data migrations, and emphasise your commitment to producing high-quality outputs.