Senior Data Analyst in Crawley

Senior Data Analyst in Crawley

Crawley Full-Time 55000 - 65000 € / year (est.) No home office possible
Equiniti

At a Glance

  • Tasks: Lead data reporting and drive innovative solutions for a confident financial future.
  • Company: Join EQ Retirement Solutions, transforming the retirement market with cutting-edge technology.
  • Benefits: Enjoy competitive pension matching, health support, flexible benefits, and generous holiday allowance.
  • Other info: Be part of a diverse team committed to excellence and continuous improvement.
  • Why this job: Make a real impact in a collaborative environment while advancing your career in data analytics.
  • Qualifications: Experience in data reporting, problem-solving, and stakeholder engagement required.

The predicted salary is between 55000 - 65000 € per year.

EQ Retirement Solutions is transforming the retirement and pensions markets with leading administration and technology solutions. With over 1200 employees globally, 189 years of knowledge and 11 million pension scheme members and policyholders, we are here to help people plan for a confident financial future by delivering innovative, reliable and customer-focused retirement services. Our teams are driven by a shared commitment to excellence, collaboration and making a real impact to the lives of our clients and customers.

Role Summary

The Lead Data Analyst will play a critical senior role within the Data and Reporting team in EQ and wider Data Solutions, with lead responsibilities for the Reporting team in EQ. The lead will provide SME support to all areas of reporting to the team, business and client to ensure high quality, timely and insightful reporting, whilst being a key driver of the data strategy and move to increased automated reporting. The lead will challenge the norm to ensure the successful transition to a more data and customer focused culture.

Core Duties/Responsibilities

  • Lead oversight of all team data/reporting responsibilities ensuring high quality, efficient and on time delivery.
  • As senior analyst on the team you will build supportive relationships with other members of the team and stakeholders and act as a point of contact for data/reporting related support requirements.
  • Work closely with Head of function to design, plan and deliver on our data strategy for data and reporting.
  • Collaborate regularly with other leads across the wider teams to resolve complex problems, ensure consistency in ways of working and cross team support is standard practice.
  • Act as a point of reference to others in projects in the design and creation of data queries and, where relevant, support the productionisation of data solutions.
  • Represent EQ reporting at key meetings with internal and external clients, including participation in design workshops to drive out suitable data related solutions that meet stakeholders' requirements.
  • Provide line management support to Head of function in their absence to ensure resource is fully supported and available to meet team demand.
  • Lead on measuring and data/reporting team demand vs. capacity planning to ensure resourcing is suitable and opportunities to increase support to the business area identified.
  • Facilitate and contribute to continuous improvement of data related processes and reporting standards within the team of data analysts.
  • Champion increased levels of automated analysis and reporting, using, developing and/or obtaining the tools and skills required to achieve this.
  • Escalate any risk/issues to Head of function in the first instance where identified.
  • Be a role model within the team, demonstrating appropriate behaviours and supporting others.
  • Some line management responsibilities may be considered where appropriate in line with team growth.

Skills, Capabilities and Attributes

  • Extensive experience developing and delivering insightful reporting using a variety of tools and techniques.
  • Extensive experience working with complex data and ensuring data quality.
  • An appreciation of how to reuse and adapt existing data sets, calculations and solutions to minimise the time, cost and risk to deliver.
  • Experience solving complex problems.
  • SME Knowledge of different areas across the organisation.
  • Experience building successful relationships with both internal and external stakeholders.
  • High levels of organisation and forward planning.
  • Pensions experience.
  • Advanced excel and working toward advanced SQL.
  • Exposure and desire to develop experience with Power BI/analytic toolkits.
  • Ability to support and manage people/team.
  • Excellent communication and influencing skills, including the ability to engage and drive internal and external stakeholders, and develop and maintain effective working relationships to progress projects.

What We Offer

  • Save For Your Future - Equiniti Pension Plan; Equiniti matches your pension contributions up to 10%.
  • Health and Wellbeing - Employee Assistance Programme: counselling, legal & wellbeing support for colleagues and their households. Life assurance cover at 4x salary with the ability to purchase enhanced cover.
  • Employee discounts - Discounts and cashback at your favourite high street stores through our EQ Wins Platform.
  • Flexible Benefits - The ability to purchase a wide variety of benefits through our flex plan; gadgets, travel insurance, will writing, holiday trading and more.
  • Time Off - Typically 29 days holiday + bank holidays. 2 volunteer days to get involved with a charity of your choosing.
  • Winning together - Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed.
  • Learning & Development - Investment in LinkedIn Learning for all colleagues.

We are committed to equality of opportunity for all staff 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.

Please note any offer of employment is subject to satisfactory pre-employment screening checks. These consist of 5 year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks.

Senior Data Analyst in Crawley employer: Equiniti

EQ Retirement Solutions is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong commitment to employee growth, we provide extensive learning opportunities, including access to LinkedIn Learning, and a comprehensive benefits package that includes generous pension contributions and flexible working options. Our culture prioritises well-being and inclusivity, making it a rewarding place for professionals looking to make a meaningful impact in the retirement and pensions sector.

Equiniti

Contact Detail:

Equiniti Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst in Crawley

Tip Number 1

Network like a pro! Reach out to current employees at EQ Retirement Solutions on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Data Analyst role. Personal connections can give you insights that job descriptions just can't.

Tip Number 2

Prepare for the interview by brushing up on your data skills. Make sure you're comfortable discussing advanced Excel, SQL, and Power BI. We want to see you shine when it comes to showcasing your technical expertise and problem-solving abilities!

Tip Number 3

Showcase your soft skills! EQ values collaboration and communication, so be ready to share examples of how you've built relationships with stakeholders in the past. We love to see candidates who can not only crunch numbers but also connect with people.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the EQ team. Let's get you on board!

We think you need these skills to ace Senior Data Analyst in Crawley

Data Analysis
Reporting Skills
Stakeholder Management
Data Quality Assurance
Problem-Solving Skills
Advanced Excel
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data reporting and any tools you've used, like SQL or Power BI. 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 data and how you can contribute to our team at EQ. Be sure to mention any relevant experience that aligns with our mission.

Showcase Your Problem-Solving Skills:In your application, don’t forget to include examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think outside the box and drive innovative solutions!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team!

How to prepare for a job interview at Equiniti

Know Your Data Tools

Make sure you’re well-versed in the tools mentioned in the job description, especially advanced Excel and SQL. Brush up on your Power BI skills too, as being able to demonstrate your proficiency with these tools can really set you apart.

Showcase Your Problem-Solving Skills

Prepare examples of complex problems you've solved in previous roles. Be ready to discuss your thought process and the impact of your solutions. This will highlight your analytical skills and ability to think critically, which are crucial for a Senior Data Analyst.

Build Relationships

Since the role involves collaboration with various stakeholders, think of ways you’ve successfully built relationships in the past. Be prepared to share how you’ve engaged with both internal teams and external clients to drive projects forward.

Emphasise Continuous Improvement

Discuss any experiences you have with improving data processes or reporting standards. Highlight your commitment to continuous improvement and how you’ve championed automation in your previous roles, as this aligns perfectly with the company’s goals.