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Smart Pension

Data Analyst

London
Posted 21 days ago
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About Smart

At Smart, our mission is to transform retirement, savings, and financial wellbeing, across all generations, around the world.

About the Role

As part of the Data Analytics team, you will work closely with stakeholders to translate business challenges into data problems, delivering high-quality and clearly articulated analysis, reporting and data-driven insights that support effective decision-making.

We are a small team with big ambitions. We are building the foundations to enable our vision of maximising the value our extensive dataset and modern data stack can generate for the business. Because we support the entire business, our data is varied and complex. As such, we are seeking a self-starter, someone comfortable navigating ambiguity, who can independently find solutions in a fast-paced environment.

If you match our ambitions, have a passion for creating value from data, and want to help drive the evolution of our data capabilities, we’d love to hear from you.


What You’ll Do

Stakeholder Partnership & Communication

  • Define requirements: Partner with stakeholders across the company to translate business questions into clear analytics requirements and identify the right data points.
  • Data storytelling: Explain analytical outputs and insights to stakeholders in clear, non-technical terms, and build a narrative to support effective decision-making.
  • Drive data literacy: Support initiatives that enable stakeholders to self-serve data more effectively.

Analytics & Business Intelligence

  • Build BI solutions: Design, build, and maintain reports and dashboards (primarily using Tableau) used across the organisation, including Board-level KPI reporting.
  • Data analysis & insights: Manipulate and analyse complex data to answer business questions and identify trends, insights, and opportunities.

Data Modeling & Quality Assurance

  • Build robust data models: Develop and maintain optimised and reliable solutions in our data warehouse (Redshift) using tools like dbt, collaborating closely with Data Engineering as needed.
  • Ensure trust & accuracy: Maintain data quality, reporting reliability, manage the impact of upstream changes, and support business-critical processes with direct regulatory or customer impact.
  • Peer review: Participate in code reviews and collaborative QA to validate accuracy and value of our analytical output.

Continuous Improvement & Team Culture

  • Automate & optimise: Identify opportunities to improve efficiency through automation, better data processes, and the responsible use of AI.
  • Team collaboration: Contribute ideas to team discussions, retrospectives, and future planning to continuously improve how we work together and support the business.

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£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

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Who We Are Looking For

The skills, experience, and aptitudes we’re looking for are listed below. We encourage you to apply regardless if you don’t meet every single criterion – a "can do" attitude can sometimes matter more than ticking all the boxes.

Experience & Attributes

  • Proven track record: 3+ years of experience in data analysis, with a focus on data manipulation, reporting, and insight analytics.
  • Stakeholder partnership: Ability to work with stakeholders to deeply understand business problems, translate requirements into effective analytics solutions, and advise on best approaches.
  • Data storytelling & coaching: Effective technical communicator who can translate complex data for non-technical audiences and actively coach stakeholders to enhance data maturity.
  • Analytical curiosity: Inquisitive with sharp attention to detail and a drive to uncover actionable insights.
  • Ambitious & agile learner: Quick, curious learner eager to explore new datasets, technologies, and methodologies to innovate.
  • Organised & adaptable: Highly organised and able to manage multiple concurrent tasks.
  • Collaborative team player: Reliable, team-first mindset who thrives in a highly collaborative environment.
  • Financial Services/Pensions experience (desirable): Experience in financial services is a plus; exposure to the pensions industry is advantageous.

Technical Skills

  • Advanced SQL (essential): Extensive experience in writing, troubleshooting, and optimising complex queries.
  • BI & Data Visualisation (essential – Tableau preferred): Strong experience building impactful dashboards and reports in a modern BI tool, ideally Tableau.
  • dbt (desirable): Experience with dbt for data modeling and transformation.
  • Python (desirable): Experience with Python for data manipulation, advanced analytics, or automation.
  • Git / GitHub (desirable): Experience using version control for code, collaboration, and reviews.

Who We Are

We work in partnerships with governments and financial institutions across the UK and internationally. Our cloud-native digital platform is revolutionising how people think about and save for their retirement.

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At Smart, we’re driven by innovation and customer-first digital change. Our Engineers describe working here as a chance to develop world-class technological solutions in a collaborative and supportive environment.

Beyond work, our colleagues are passionate about leading better financial outcomes for savers, fostering a mission-driven culture that goes beyond the traditional 9-to-5 office hours.

For more, explore what our colleagues say on LinkedIn Life and Glassdoor.


Benefits

At Smart, "We want happy and good people in our team" is one of our guiding principles. Here’s how we help achieve it:

  • 25 days’ holiday per year, increasing with length of service.
  • £500 annual training budget to support your professional development.
  • Extensive private healthcare, including dental, eyecare, and an Employee Assistance Programme (EAP).
  • Enhanced sick leave (3 months’ pay per year).
  • Enhanced parental leave:
    • Maternity: 6 months fully paid.
    • Paternity: 3 weeks fully paid.
  • Death in service insurance cover.
  • Fully-paid five-week sabbatical after 5 years of employment.
  • In-office wellbeing benefits, such as manicures, massages, and barbers’ services.
  • Smart employees enjoy a 50% discount on orders from our sister company, Arena Flowers – the UK’s most ethical florist.
    • Their exclusive products range from hand-tied bouquets to luxury gifts and plants for yourself or to share with loved ones.

Our Commitment to Inclusion

At Smart, we are committed to creating an inclusive and equitable workplace where everyone feels valued, respected, and empowered to do their best work.

We believe that diverse perspectives drive innovation, and we welcome varied backgrounds, experiences, and identities. Fairness and inclusion are at the heart of our mission to transform retirement, savings, and wellbeing.

We encourage applications from all backgrounds and protected characteristics, ensuring no discrimination in our recruitment process.

If you require reasonable adjustments during recruitment or within the workplace, please do let us know – we’re here to support you.


If you think Smart is an awesome place to work and believe you can contribute to our future success, we’d love to meet you.

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Skills

SQL
Tableau
dbt
Python
Git
GitHub
Data Modeling
Data Visualization
Stakeholder Management
Data Storytelling
Business Intelligence
Data Analysis

Location

London, England, United Kingdom

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