13 of 13 Statistics Jobs in the West Midlands

clear documentation of pricing models and strategies. What you'll need to succeed A background in distribution is required for this role. Bachelor's degree in Economics, Business, Mathematics, Statistics, Finance, or a related field. A Master's degree or certification in pricing are a plus. 2+ years of experience in dynamic pricing, revenue management, or a related analytical role. More ❯

analytics. Excellent problem-solving skills with the ability to translate data insights into actionable business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means More ❯

and optimise classifiers using machine learning tools. Skills & Qualifications Programming: Proficiency in Python and SQL is essential. Experience with Hive/Hadoop, Pig, Scala, or Java would be advantageous. Statistics: Strong applied statistical skills, including hypothesis testing, regression, distributions, and maximum likelihood estimators. Machine Learning: Working knowledge of algorithms such as k-NN, Naïve Bayes, SVM, and Decision Forests. Mathematics More ❯

tables, data modelling) Experience with Power BI or similar reporting/visualisation tools 2+ years' experience as a Data Analyst (or similar role), or strong academic background in Mathematics, Statistics, Finance, or related fields Analytical mindset with excellent problem-solving skills Strong communication skills with the ability to explain data clearly to a range of stakeholders Highly organised, detail-focused More ❯

etc.). Support stakeholders data to inform decision making Deliver analytics around demand planning, inventory optimisation, logistics and supply chain. 📈⏳ 💼 Ideal Candidate Degree in a quantitative/mathematics/statistics field 🎓 Previous experience in a commercial data analysis role 📊 Strong technical skills in SQL Strong dashboard and data viz skills in PowerBI and DAX Strong statistical analytics experience in Python More ❯

implement improvements in reporting and outputs, making use of automation and technology where possible. Skills & experience required: Degree (or equivalent) in a numerate or analytical subject such as Mathematics, Statistics, Economics, Data Science, or Business Analytics. Ideally 12 months’ commercial experience in a data-led role (e.g. placement year, internship); exceptional recent graduate talent will also be considered. Advanced Excel More ❯

Receive mentorship from experienced professionals in data analytics Who You Are: A recent graduate, career switcher, or early-career professional Studying or have completed a degree in data science, statistics, computer science, or a related field Comfortable with data tools such as Excel, SQL, or Python (beginner level welcome) Eager to learn, grow, and gain practical experience in a real More ❯

a methodical approach and attention to detail Experience working with large, complex datasets to drive actionable insights Ability to manage multiple projects and stakeholders simultaneously A relevant degree (Mathematics, Statistics, Economics, Computer Science etc.) or equivalent practical experience Strong knowledge of Microsoft Excel and business intelligence tools (Qlik, Tableau, Business Objects, Cognos etc.) Desirable Skills: Hands-on experience with Qlik More ❯

a methodical approach and attention to detail Experience working with large, complex datasets to drive actionable insights Ability to manage multiple projects and stakeholders simultaneously A relevant degree (Mathematics, Statistics, Economics, Computer Science etc.) or equivalent practical experience Strong knowledge of Microsoft Excel and business intelligence tools (Qlik, Tableau, Business Objects, Cognos etc.) Desirable Skills: Hands-on experience with Qlik More ❯

in Metabase that support operational planning. Collaborative mindset: Works well across Commercial, Supply, and Pricing functions. Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 2–3 years of experience in analytics—preferably with exposure to commercial operations, pricing, or inventory analytics. Benefits Technology Incentive Scheme - we offer different bonus schemes More ❯

teams. Team contribution: Mentors others, shares best practices, and strengthens the team through collaboration. Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, or Statistics, and 4–6 years of experience in analytics—preferably with exposure to supplier performance, commercial trading, or rebate analytics in a retail or FMCG environment. Benefits Technology Incentive Scheme - we More ❯

English) equivalent qualifications or relevant experience which demonstrates equivalent academic skills. Previous experience in a similar role. Desirable A degree in a relevant field such as computer science, mathematics, statistics, or data science. Skills, Knowledge and Abilities Essential Able to provide high quality reports. Able to use processes to manage data and information requests in a sensitive and confidential manner. More ❯

MIP), Annual Report, analysis of helpdesk and employee relations trends, support to cyclical activity including performance moderation, employee engagement survey etc. External e.g. pay gap reporting, Office for National Statistics (ONS) surveys and Home Office reporting. Budget and supplier management Support the People Operations Manager and CPO with setting of People budgets and tracking of spend vs. budget and forecast. More ❯