1 to 25 of 395 Analytics Jobs in the North West

Head of Data Science & Analytics Location: Manchester or London (Hybrid – 2 days per week in the office) Salary: Up to £120,000 + benefits The Company A global content powerhouse is building out a new analytics hub to redefine how millions engage with digital media. Operating across publishing, audio, and … the UK. With a large, complex dataset covering audience behaviour, advertising performance, and engagement trends, they’re now hiring a Head of Data Science & Analytics to lead this transformation. This is a rare opportunity to build a centre of excellence in a company where data will directly shape content, monetisation … and strategic direction. The Role As Head of Data Science & Analytics, you’ll lead the design and delivery of predictive models and insight strategies to optimise how the organisation engages with and monetises its audience. You’ll oversee a growing team working across digital analytics, revenue & inventory, and audience segmentation. More ❯

interpret raw data, transforming it into actionable insights for senior stakeholders. This role involves daily collaboration with the Data Architect, Head of Data and Analytics, and the Director of Finance, Risk, and Compliance. Key Responsibilities: Perform advanced data analysis on large datasets to extract actionable insights. Identify/interpret trends More ❯

a strong commercial acumen and proven track record of driving financial performance. A critical aspect of this role is the ability to leverage data analytics and technology, specifically Power BI and Microsoft data warehouse, to provide insightful financial reporting and drive informed business decisions. Responsibilities - Management Provide strategic financial analysis More ❯

Apps and Power Automate to design, develop, and maintain powerful solutions using the Microsoft Power Platform. Your focus will be on delivering high-quality analytics and automated workflows that drive efficiency, enable better decision-making, and add real value across our business. What you'll be doing? Design and maintain More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

the challenge of digging into complex datasets and uncovering insights that drive business outcomes. Key Responsibilities Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. More ❯

Matillion Trusted by enterprises like Cisco, DocuSign, Slack, and TUI, Matillion's technology supports a wide range of data use cases, from insights and analytics to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are committed to powering data productivity worldwide. We More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

retail or finance environment. Strong understanding of Microsoft Dynamics 365 Finance and Operations data structures. Experience with Azure tools such as Data Factory, Synapse Analytics, Data Lake, or SQL Databases . Solid knowledge of data warehousing concepts and financial reporting. Ability to work independently in a contract capacity with minimal More ❯

our technology to continue our global expansion. You will be responsible for:- Building robust and scalable pipelines to extract, transform and load data for analytics and machine learning workflows. Ensuring data quality, integrity and accessibility through automated quality checks and validation processes. Translating complex business logic and strategies into actionable More ❯

design. Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with More ❯

platforms, while gaining a nationally recognised qualification. Role Administer and support digital security platforms including door access systems, intrusion detection, biometrics, and CCTV AI analytics Conduct audits and assess compliance with key standards such as ISO 27001, Secure by Design, and Cyber Essentials Manage and configure the Morson Engineering SharePoint More ❯

responsible for enhancing the effectiveness of how data is used across Royal London (RL). The function provides Data Governance, Data Management, Data Strategy, Analytics/AI and Insight capabilities. It sets and oversees data related policies and standards, so data is collected, processed, and exploited in accordance with the More ❯

responsible for enhancing the effectiveness of how data is used across Royal London (RL). The function provides Data Governance, Data Management, Data Strategy, Analytics/AI and Insight capabilities. It sets and oversees data related policies and standards, so data is collected, processed, and exploited in accordance with the More ❯

of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability More ❯

of the executive team and you must be confident in presenting information. You will also be skilled in data visualisation, delivering insightful and impactful analytics using Tableau. You will have excellent leadership qualities, be highly motivated and will ensure tasks are delivered on time. You will be proactive and innovative More ❯

and coaching Technical Skills: Strong experience of Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics, Logic Apps Strong SQL programming skills Strong experience with Power BI data modelling and reporting, including setting up/maintaining Power BI premium capacity workspaces More ❯

e.g., Power BI, Tableau) to track performance and enhance data visibility. Automate routine reporting to improve efficiency and ensure timely insights. Data Science/Analytics: Support and lead data analytics projects, including forecasting and predictive modelling. Work closely with the BI & Data Analytics Manager on strategic analytics initiatives. Data Reporting … with the ability to explain technical concepts to non-technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager …/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst). 3 years experience in data analytics or business intelligence, preferably within a finance function. More ❯

both technical and non-technical stakeholders Proactively identifying opportunities to improve business performance through data Supporting the wider team with varied tasks beyond traditional analytics, contributing to our close-knit culture What We're Looking For: Minimum of 3 years' experience in a data analyst or similar role Proficiency in More ❯

Collaborate closely with internal teams to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics requirements. Perform exploratory data analysis to identify trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across all reports and dashboards. Collaborate with More ❯

objectives. Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics needs. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across reports and dashboards. Collaborate with other More ❯

date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. Work with various datasets, utilizing tools like More ❯

in a manufacturing and distribution context is essential. Experience with leading BI tools in Azure, ETL, Streaming Data and Data Warehousing such as Synapse Analytics, Power BI, Azure SQL Data Warehouse, ADF and related platforms is crucial. Advanced T-SQL programming skills and deep knowledge of SQL and NoSQL databases More ❯

Unsecured Personal Loans, Oodle's newest and fastest-growing financial product, to include in our expanding team. Dive into a world of data, strategic analytics, and profitability-driven initiatives, reporting into the Credit Risk and Profitability function. You'll be influencing our approach to driving profitable originations, and will touch More ❯

to understand study goals—e.g., young‑mental‑health surveys—and shape the data architecture behind them. Own slices of the backend and grow toward analytics, ML or architecture as you choose. About you 2‑3 years’ experience (or outstanding grad projects) in data engineering Solid Python or R plus SQL More ❯