1 to 25 of 103 Analytics Jobs in Merseyside

Senior Consultant - Data Analytics Engineer Intuita Liverpool, England, United Kingdom Senior Consultant - Data Analytics Engineer Intuita Liverpool, England, United Kingdom This range is provided by Intuita. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia (considered) We're … an interesting insight into projects spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors. The Role We are seeking a skilled Analytics Engineer to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind, immediate … or quick availability is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud Platform (GCP More ❯

an interesting insight into projects spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors. The role: We are seeking a skilled Analytics Engineer to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind, immediate … or quick availability is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud Platform (GCP … and proactively resolving any data, model, or scheduling issues in collaboration with other project owners.• Use version control (Git) and CI/CD to manage the entire lifecycle of analytics code.• Collaborate with cross-functional teams to understand data requirements and implement robust, well-documented and performantdbt models that serve as a single source of truth for business reporting.• Implement More ❯

Understanding of data pipeline/orchestration tools like dbt, dataform. Appreciation of GCP’s serverless technologies such as Cloud Run/Workflows. Understanding of Google’s marketing stack, including Analytics, Tag Manager, Ads, Search Console. Experience with low-code/no-code data platforms like Retool, Hex. Core Behaviours Pace: Recognize speed as a key to growth; move quickly. Communication More ❯

for better future decision-making. Essential Skills Required Ability to investigate, interpret and translate data into actionable insight. Understanding of customer segmentation techniques, customer acquisition and lifetime values, predictive analytics, and forecasting. Expert of data manipulation and programming in SQL. Expert of Data Visualization tools such as Power BI, Tableau, etc. Experience in marketing campaign analysis. Can demonstrate commercial awareness More ❯

About the role We have an exciting opportunity for an individual to join our Liverpool FC team as an Associate, Lead System & BI Administrator. This is a pivotal role supporting the development and optimisation of business-critical systems and data More ❯

opportunity for an experienced Senior Product Manager to join our team at our recently refurbished, modern Head Office in Liverpool City Centre. Overseeing website management, UI/UX design, analytics, front-end and back-end development, as well as SEO and engagement strategies, you will be responsible for optimising customer experience, driving operational efficiencies, reducing costs and enhancing conversion rates … to improve site performance and user retention. Ensure digital assets (website, booking systems, customer portals) are optimised for scalability and security. Customer-Centric Growth & Innovation Utilise user research, data analytics, and A/B testing to improve UX and drive engagement. Optimise customer journeys across digital touchpoints to maximise retention and bookings. Identify and prioritise new product features based on … rankings. Work with developers to optimise site performance, page speed, and indexing. Implement best practices for on-page and off-page SEO, link-building, and structured data. Monitor Google Analytics, HotJar, SQL, and other performance tools to track KPIs and inform decision-making. Lead a cross-functional team including UI/UX designers, analysts, front-end and back-end developers. More ❯

and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job … We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical models). … science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will: be inquisitive explore and visualise data make recommendations to address complex problems and to inform strategic and operational decision More ❯

and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job … We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical models). … science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will: be inquisitive explore and visualise data make recommendations to address complex problems and to inform strategic and operational decision More ❯

and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job … We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical models). … science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will: be inquisitive explore and visualise data make recommendations to address complex problems and to inform strategic and operational decision More ❯

its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. Data … modelling experience and understanding of the Kimball methodology DP-600 – Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast More ❯

D365 F&O Reporting and Analytics Consultant Competitive Salary First week on site then remote working 3-6m Fixed Term Contract Brief My client is in the process of implementing D365 F&O and as they move towards the go-live phase, they are looking for a specialist to come in and oversee the reporting and analytics of the … Synapse Link, and modern data warehousing techniques. Daily Tasks Develop and maintain Power BI dashboards and reports based on D365 F&O data. Integrate D365 data with Azure Synapse Analytics, Data Lake, and Data Factory to build scalable reporting pipelines. Support and optimise the Entity Store and/or Bring Your Own Database (BYOD) setup for reporting. Design and implement … F&O), especially around reporting/data entities. Strong expertise in Power BI including DAX, Power BI Service, data modelling, and embedding dashboards. Hands-on experience with Azure Synapse Analytics, Data Factory, and Azure Data Lake. Solid understanding of data warehousing concepts Proficiency in SQL and working with large-scale datasets. Familiarity with D365 data structures (e.g., GL, AP, AR More ❯

/join with: This role requires eligibility for Security Clearance, hence we can only consider UK citizens Required skillset summary: Creation of dashboards, reports; Fusion Data Intelligence and Oracle Analytics Cloud - OAC - necessary; Job Title: Principal Engineer, CSS Delivery - Analytics Job Summary: We are seeking a highly skilled Oracle OCI OBl Analytics Engineer with expertise in building, optimizing, and supporting … Analytics solutions in Oracle Cloud Infrastructure (OCI). As a key member of our team, you will be responsible for designing, implementing, and maintaining robust OCI-based analytics solutions. Your extensive experience with OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI in general will be instrumental in driving the success of our analytics initiatives and enabling data-driven … decision-making. Responsibilities: Solution Design and Development: Collaborate with cross-functional teams to understand business requirements and design end-to-end analytics solutions in OCI. Leverage your expertise in OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI services to architect scalable, performant, and reliable analytics solutions. Implementation and Optimization: Build and configure OCI-based analytics solutions, ensuring alignment More ❯

Developer. 2-3 Days a month in London required. As a KDB+ Developer, you will play a key role in designing, developing, and maintaining cutting-edge data processing and analytics solutions, collaborating with a team of skilled professionals to build robust systems that handle high-frequency data and enable real-time insights for our clients. Responsibilities: Develop and optimize KDB+ More ❯

gain knowledge about data science. They also help to validate our skills in this field. Let's take a look at some of the best certifications out there. Certified Analytics Professional (CAP) Candidates passing the Certified Analytics Professional certification demonstrate proficiency in analytics. The candidate needs a bachelor's degree and five years of experience in analytics to write this … exam. A master's degree and three years of experience or seven years of non-analytics experience are also sufficient. The exam includes topics such as data preparation and model building. Cost: $375 for members, $575 for non-members Validity: 3 years Google Certified Professional Data Engineer The Google Certified Professional Data Engineer certification proves one's skills in developing … SAS Certified Data Scientist certification shows that the candidate is able to use SAS for data analysis. In order to progress to the AI & Machine Learning Professional or Advanced Analytics certification, one has to clear the Advanced Programming and Data Curation Professional exams. This test measures the understanding and expertise of the candidate on various aspects related to the data More ❯

insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and take the business to the next level. This means exciting opportunities for learning, upskilling, and working with the latest technologies. … Engineer, your responsibilities will include: Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. Develop data models and database schemas that support reporting and analytics needs. Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java, Spark. Create and maintain ETL/ELT processes to extract, transform, and … insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and take the business to the next level. This means exciting opportunities for learning, upskilling, and working with the latest technologies. More ❯

Snowflake, Alteryx, and Power BI) it’s the ideal setting to show how your data leadership skills can transform business performance and client outcomes. Reporting to the Group Data & Analytics Director and responsible for three teams of technical specialists, you’ll foster a culture where analytics drives innovation, including: Developing the strategy for data governance and architecture, optimising process and … your impact will be instantly visible – here and in the wider financial services industry. Succeed, and there’s a clear route to become the firm’s next Group Data & Analytics Director, with mentorship from the current incumbent. What you’ll add You're a business leader who specialises in data engineering and/or data governance. Your CV includes as More ❯

and optimisation models using Python, Databricks, and GCP Enhance the businesses AI and ML capabilities to modernise the data platform Collaborate with stakeholders to understand their goals and ensure analytics work is aligned to practical business requirements Lead and take ownership of discrete workstreams within larger projects, ensuring timely, accurate, and business-relevant outputs Contribute to strategy and best practice More ❯

as a threat to be mitigated. Head Of Learning Key Responsibilities Drive innovation in AI-powered, teacher-less education to deliver exceptional student outcomes across multiple campuses. Blend data analytics with regular student engagement to continuously optimize our learning ecosystem, as measured by AP exam performance and MAP assessment growth. Basic Requirements Master's degree or higher in Educational Science More ❯

with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just More ❯

support our group wide data strategy. As such, you will be responsible for transforming and improving data management practices across TVG, including both operational business domains and TVG Data & Analytics landscape; Ensuring that data governance and data quality standards are upheld and reported against. You and your team will own and run the lifecycle of data, including regular data retention More ❯

Social network you want to login/join with: Data, Insights & Analytics Specialist HR EMEA (1- year contract to perm), liverpool col-narrow-left Client: Hudson RPO Location: liverpool, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 07.06.2025 Expiry Date: 22.07.2025 col-wide Job Description: Location: 100% Remote (EMEA preferred, must … overlap with UK business hours) Reports to: Senior Manager – Talent Acquisition Employment Type: Full-time About the Role We’re seeking an analytical and creative Data, Insights & Analytics Specialist to join our EMEA Talent Acquisition team. Reporting into the Senior Manager, you’ll lead the development of dashboards and analytics that turn complex TA data into actionable insights. You’ll … business stakeholders Act as a strategic advisor to Talent Acquisition leaders and wider business leaders, turning data into insight and insight into action across regions and functions. Drive predictive analytics initiatives Develop early models and strategies to forecast hiring needs, identify bottlenecks, predict attraction risks, and optimise hiring strategies. Champion data storytelling Create compelling narratives and visual stories with data More ❯

Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. This architecture … from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements. Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key to More ❯

reporting and personalized experiences across channels. The TPM will work at the intersection of engineering, data, and business to define and execute the roadmap, ensure robust data integrations, enable analytics capabilities, and maintain compliance and governance standards. Key Responsibilities Work in tandem with the Director of Marketing & Strategic Projects as well as wider stakeholders to evolve the product vision, strategy … including API design, data models, data science features, UX/UI design and third-party integration frameworks. Stakeholder Collaboration Act as the primary liaison between business units, data scientists, analytics teams, marketing, and engineering to ensure the platform delivers value to all users. Translate business requirements into clear and actionable user stories and technical specifications. Execution & Delivery Lead the agile More ❯

GCP). Collaborate with scientists 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; comfortable with Spark/Databricks. More ❯

Deliver hands-on solutions to internal clients. Stay updated with technology trends and actively participate in solution delivery. Required Technical Skills: Proficiency in Azure Data Platform (Data Lake, Synapse Analytics, SQL Database, Data Factory). Strong knowledge of Power BI and Microsoft reference architectures. Experience in Data Platform Design and Azure DevOps. Understanding of Azure data integration technologies and Modern More ❯