Business Intelligence Analyst

Aviva
London
1 month ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

AVP Business Intelligence Analyst - Mandarin Speaking

BI Analyst

Business Analyst

Please note this position is based in London and this will be the contractual location of the successful candidate; other locations cannot be considered.

Business Intelligence Analyst

This is a great job for someonewho has had hands-on experience with modern analytical tools such as Tableau, Power BI, Qlik Sense, and SAP.

A bit about the job:

The successful candidate will support and collaborate with our client-facing teams across all global markets, channels, and products. As a Business Intelligence Analyst, you will play a crucial role in enabling Aviva Investors to be data-driven and effective. This role offers the opportunity to gain a deep understanding of the asset management industry and learn about Aviva Investors' distribution activities and investment products. You will become a key contributor to our business strategy, driving ambition and enhancing our current data suite. The Market & Business Intelligence team collaborates with various functions across Aviva Investors, including Sales, Business Management, Client Relationship Management, Marketing, Product, Operations, and Investment.

Skills and experience we’re looking for:

  • IMC qualification would be advantageous and also SQL/DAX skills experience.
  • Skilled at managing multiple senior stakeholders through processes or projects.
  • Knowledgeable in Salesforce and reporting.
  • Basic understanding of financial markets and key trends in the asset management industry; sales experience is a plus.
  • Understands data visualisation principles and how to embed them within business units for widespread use.

What you’ll get for this role:

  • Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
  • Eligibility for annual performance bonus.
  • Family friendly parental and carer’s leave.
  • Generous holiday entitlement plus bank holidays with the option to buy/sell up to 5 additional days.
  • Up to 40% discount for Aviva products.
  • Brilliant flexible benefits including electric cars.
  • Aviva Matching Share Plan and Save As You Earn scheme.
  • 21 volunteering hours per year.

Aviva is for everyone:

We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.

We flex locations, hours, and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

We interview every disabled applicant who meets the minimum criteria for the job. Once you’ve applied, please send us an email stating that you have a disclosed disability, and we’ll interview you.

We’d love it if you could submit your application online. If you require an alternative method of applying, send an email to .

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.