Senior Data Analyst

Oscar Technology
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Role: Senior Data Analyst

Salary: £50k - £55k

Location: London

Hybrid: 3 days on-site / 2 days WFH

Essential Skills: SQL, Looker, BigQuery

Summary

A brand new position has opened for a Senior Data Analyst to join a consultancy firm based in London, with their operations spanning across the US and Australia.

As a Senior Data Analyst, you will play a crucial role in translating data into actionable insights to drive company performance, and enhance customer experience. You'll be looking for opportunities to implement data driven solutions, promote a data first mindset within the company, and analyze / visualize data.

The role is being offered on a permanent basis, with a hybrid working pattern of 3 days on-site and 2 days WFH from their central London office.

The Company

The company is a well-regarded organization with a client base of over 10, including significant household brands. Their aim is to use their technology, services and platforms to give businesses the right tools to understand customer needs and goals.

Benefits Include:

25 days holiday Bank Holidays Private Healthcare Healthcare Cash Plan Income Protection Pension Schemes Training Courses Childcare, Transport and Lifestyle Vouchers

The Role

In this role you will work with cross-functional teams to promote a data driven culture within the company, identify data gaps and recommend solutions, and provide crucial insights into the every-changing commercial landscape.

As the primary contact for data within the business, you will have the opportunity to shape and implement your own vision to spearhead their use of data.

Responsibilities

Identify and analyze data from multiple sources including: trends, funnels, regression Maintain and develop dashboards in Looker for KPIs and product metrics Coach the team and the wider business in fostering a data mindset Apply you commercial mindset to identify ways to optimize the wide business Provide insights into market trends, competitors and additional factors influencing the commercial landscape

Essential Skills / Experience

SQL Google BigQuery Looker DBT Python is a bonus!

Next Steps:

If you are a Senior Data Analyst and you are looking work for a company fantastic approach to work, in an exciting and innovative environment, then look no further - this is the role for you!

Interviews for this role will be held imminently.To be considered, please send your CV to me now to avoid disappointment.

Referrals:

Role: Senior Data Analyst

Salary: £50k - £55k

Location: London

Hybrid: 3 days on-site / 2 days WFH

Essential Skills: SQL, Looker, BigQuery

Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy.

To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.