451 to 475 of 5,894 Permanent Analytics Jobs

Preferred education Bachelor's Degree Required technical and professional expertise Design, construct, install, test, and maintain highly scalable data management systems. Develop data processes and ETL pipelines to support analytics and reporting. Ensure data quality, reliability, and security across all systems. Collaborate with data scientists, analysts, and IT professionals to improve data reliability, efficiency, and quality. Implement measures to ensure … possible in the current working environment. Job Title Job ID 19123 City/Township/Village State/Province Country United Kingdom Work arrangement Hybrid Area of work Data & Analytics Employment type Regular Position type Professional . click apply for full job details More ❯

We're looking for a Senior Analytics Engineer who's as comfortable working with stakeholders to answer complex business questions as they are building scalable data models under the hood. In this role, you'll partner closely with teams across the business to deliver high-impact analysis and insights - while also owning the creation and maintenance of the dbt models More ❯

We're looking for a versatile Data Scientist who thrives in dual roles - one where high-impact technical development meets rigorous documentation and reporting. This position blends deep analytical problem solving with strong technical writing responsibilities to support mission-critical More ❯

Analyst will create Gartner research and provide related advice to clients and support the sales force in new sales and client retention. The research provides insight, predictions and actionable advice to clients in the area of AI, GenAI, Machine Learning More ❯

should have exceptional analytical skills, and proficiency in data analysis tools and techniques, preferably within Finance function. What We're Looking For Responsibilities Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least 3 years' proven experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability … deadlines. Ability to work independently as well as collaboratively in a team environment. Experience working in the gaming industry is a plus. Requirements Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least 3 years' proven experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability … plus. Technical Requirements Advanced/Expert - Excel Intermediate/Advanced - Power BI (or similar BI tool) Advanced - SQL Intermediate/Advanced - Python(pandas, sklearn) Nice to have - IBM Planning Analytics Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates More ❯

and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract meaningful insights … and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply … chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors More ❯

Senior Data & Analytics Consultant - Tech For Good - Up to £70k + Bonus Location: London - Hybrid Use Data to Drive Social Impact and Transform Public Services This scaling tech for good are on a mission to reduce societal inequality by helping local authorities use data more effectively. Their AI-driven platform empowers frontline workers with the insights they need to prevent … complex issues like homelessness or children being taken into care - before they happen. Looking to grow by 30% this year they are looking to hire multiple Senior Data & Analytics Consultants to join the team. The Role As a Senior Data & Analytics Consultant, you will be a key member of the Data & Analytics Consulting team, responsible for the technical configuration and More ❯

Senior Data & Analytics Consultant - Tech For Good - Up to £70k + Bonus Location: London - Hybrid Use Data to Drive Social Impact and Transform Public Services This scaling tech for good are on a mission to reduce societal inequality by helping local authorities use data more effectively. Their AI-driven platform empowers frontline workers with the insights they need to prevent … complex issues like homelessness or children being taken into care - before they happen. Looking to grow by 30% this year they are looking to hire multiple Senior Data & Analytics Consultants to join the team. The Role As a Senior Data & Analytics Consultant, you will be a key member of the Data & Analytics Consulting team, responsible for the technical configuration and More ❯

As a Senior Data Analyst at Sagacity you will lead analytics for client projects. This means designing the analytical approach, working with the PM to create the project plan, assigning work across the other analysts on the project, coaching delivery and quality assuring the output. As a senior team member, you will also play a part in the coaching and … any analysis performed Recognise the importance and value of understanding the data they are analysing, validating the information provided and reconciling the data sets as part of the Data Analytics Cycle Are experienced in producing data visualisations, detailed reporting and analytics underpinned with clear business commentary Work closely with multi-disciplined teams to deliver end to end client solutions in … a timely manner Balance the technical and analytical demands of their role with the need for strong engagement with our clients and consultants alike Can conduct consumer data analytics for our Tier 1 Telecoms/Utilities provider clients that will provide insights into a range of focus areas, including customer eligibility compliance, discount and promotion activities and key performance indicators More ❯

Role : Business Data Analyst Location : Mountain View CA (100% Day 1 Onsite) Must have : Qlik sense + SQL + AWS(S3, EMR) + Data Analytics experienceExperience in any scripting language such as Bash or Python + Good communication skills. What You'll DoPartner with Business Stakeholders and other analytics teams to enable decision support and key customer insights in the … Self Analytics space.Ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholders.Define, implement, and standardize metrics, reports and dashboards leveraging state of the art business intelligence tools.Provide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn't exist.Answer ad-hoc analytic questions, contribute to … and present findings for new business tools beyond Qlik Sense Expertise You'll BringBE in computer science or equivalent work experience5-8 years of experience working with data and analytics with knowledge of statisticsHighly proficient in SQL, Data Visualization software (e.g. QlikSense is a must, Tableau), and ExcelExcellent problem-solving and logic skills and end-to-end quantitative thinkingAbility to More ❯

secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on technical leadership while shaping the strategic direction of the data infrastructure to support analytics, reporting, and business intelligence across the organisation. Location: Stockton on Tees Department: Data & Analytics Employment Type: Full-Time/Permanent/Hybrid Key Responsibilities Lead and mentor a team of … Data Engineers/Analysts, fostering a culture of innovation, collaboration, and continuous improvement. Design, build, and optimise data pipelines, data models, and data warehouses using Azure Synapse Analytics, Azure Data Factory, and Azure SQL. Ensure the reliability and performance of data pipelines and infrastructure. Collaborate with stakeholders and analysts to deliver impactful dashboards and reports using Power BI. Provide technical … problem-solving skills and a passion for automation and operational excellence. Strong organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new More ❯

secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on technical leadership while shaping the strategic direction of the data infrastructure to support analytics, reporting, and business intelligence across the organisation. Location: Stockton on Tees Department: Data & Analytics Employment Type: Full-Time/Permanent/Hybrid Key Responsibilities Lead and mentor a team of … Data Engineers/Analysts, fostering a culture of innovation, collaboration, and continuous improvement. Design, build, and optimise data pipelines, data models, and data warehouses using Azure Synapse Analytics, Azure Data Factory, and Azure SQL. Ensure the reliability and performance of data pipelines and infrastructure. Collaborate with stakeholders and analysts to deliver impactful dashboards and reports using Power BI. Provide technical … problem-solving skills and a passion for automation and operational excellence. Strong organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new More ❯

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such … unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite … Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that More ❯

reporting. Assess the effectiveness of IT controls and identify areas for improvement. Evaluate IT systems and processes to ensure compliance with regulatory requirements and industry best practices. Utilise data analytics to streamline audit plans and enhance audit efficiency. Collaborate with IT and business teams to address audit findings and implement corrective actions. Prepare detailed audit reports and present findings to … assessments, penetration testing, and incident response. IT Governance: Knowledge of ITIL, ISO 27001, and other IT governance frameworks. Software Development: Understanding of SDLC, DevOps practices, and application security. Data Analytics: Proficiency in data analytics tools and techniques to enhance audit processes. For example: Excel: Advanced skills in data manipulation, pivot tables, and data visualisation. SQL: Ability to query and analyse … R: Experience with programming languages for data analysis and automation. Tableau/Power BI: Expertise in creating interactive dashboards and visualisations. ACL/Galvanize: Familiarity with audit-specific data analytics tools. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and supportive work environment. Flexible work arrangements, including remote work options. What you More ❯

cycle Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach. The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions. The ability to design and develop complex BI/MI solutions in line with agreed architectural principles and toolsets. Capable of working closely with the business and delivering complex … Kimball data modelling Microsoft SQL Server Analysis Services (Multidimensional/Tabular), Power BI Python, MDX, DAX Responsibilities The Data Manager will be responsible for supporting Head of Data and Analytics and wider business to build and deliver the components of an effective enterprise data management platform for WRBU, utilising Microsoft Technology stack for data ingestion, transformation & storage and Power BI … for end-user data analytics and reporting. The role will play a critical part in the architectural design and implementation of these elements - capable of meeting a wide range of financial and underwriting reporting/analytics needs. The role will encompass a mix of hands-on technical leadership, team management, stakeholder relations; supporting WRBU to continue its journey to develop More ❯

cycle Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach. The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions. The ability to design and develop complex BI/MI solutions in line with agreed architectural principles and toolsets. Capable of working closely with the business and delivering complex … Kimball data modelling Microsoft SQL Server Analysis Services (Multidimensional/Tabular), Power BI Python, MDX, DAX Responsibilities The Data Manager will be responsible for supporting Head of Data and Analytics and wider business to build and deliver the components of an effective enterprise data management platform for WRBU, utilising Microsoft Technology stack for data ingestion, transformation & storage and Power BI … for end-user data analytics and reporting. The role will play a critical part in the architectural design and implementation of these elements - capable of meeting a wide range of financial and underwriting reporting/analytics needs. The role will encompass a mix of hands-on technical leadership, team management, stakeholder relations; supporting WRBU to continue its journey to develop More ❯

An exciting opportunity to join a leading supply chain and logistics business as part of their growing Data & Analytics function. This role is ideal for someone at the early stage of their career who is eager to develop practical skills in data analysis within a fast-paced, commercially driven environment. This is a full-time, on-site position starting as … with a clear expectation of progressing into a permanent role upon successful completion of the apprenticeship programme. This structured programme combines formal study towards a recognised qualification in Data Analytics with real-world experience in an established IT and data team. You will gain essential technical and analytical skills while receiving hands-on support and mentoring. Key Learning Areas: Data … and validation. Communicate insights clearly to internal stakeholders. Contribute to service improvement discussions and project updates. Maintain project documentation and support ticket records. Candidate Profile: Essential: Interest in data, analytics, and IT. Familiarity with Microsoft Excel. Strong attention to detail and problem-solving approach. Good written and verbal communication skills. Organised, reliable, and willing to learn. Full UK driving licence. More ❯

focused on our customers' needs. The Zoro teams are based in London and Leicester. Leicester hosts the Supplier, Merchandising, Customer, and Finance teams, while our Development, Marketing, and Data Analytics teams are in London. Working for Zoro UK means operating within a start-up culture but with the support of an established global player in the MRO market. We aim … for rapid growth, value new ideas to succeed and disrupt the market, and seek individuals comfortable with ambiguity. Primary Function: Analytics is central to decision-making at Zoro UK. As the company expands, so do the needs of our internal stakeholders, leading to exciting new projects in the category and supply departments. These include identifying gaps in our assortment, improving … product visibility, and optimizing freight allocation. Category analytics is vital for our success. We seek a passionate problem solver who can implement both tactical and technical business solutions. The candidate will own the development of automation tools to drive scalable solutions, enhancing the speed and quality of assortment decisions, focusing on managing and reporting product performance at scale. This role More ❯

People Analytics/Insights Lead Hybrid – Based 2x days a week in our Hatfield Head Office Technology and logistics are what we do. People are how we do it. At Ocado Logistics, we create standout customer experiences for Ocado Retail and Morrisons - powered by innovation, driven by people. We're on the search for a talented People Insights Lead – a … complex data into clear, actionable insight that enables our People team and business leaders to make confident, evidence-based decisions. Working closely with colleagues in People, Finance, Tech and Analytics, you’ll lead strategic insight projects across recruitment, retention, mobility, engagement and more – all while strengthening our people data infrastructure and championing the ethical use of data. You’ll set … the wider team. What you’ll be doing: Partnering strategically with senior stakeholders across the People team and wider business to deliver solutions-focused insights Leading high-impact people analytics projects , from employee retention and engagement to workforce planning and DEI. Developing powerful dashboards and reporting tools , making insight easy to access and use across the organisation Championing a data More ❯

TS/SCI with FS Polygraph required Position Seeking a Data Analyst to support an Intelligence Client. Required Demonstrated experience in two or more of the following disciplines: Business analytics Statistics Data verification and validation Data visualization Experience in applying qualitative and quantitative data analysis methods to business analytics problems Experience creating data visualization mockups, prototypes of visualizations, documenting work … Tableau Prep Builder Experience using Excel, Python, and SQL Relational Databases (e.g. Postgres, Oracle, SQL Server) Experience with other business data reporting systems Desired Bachelor's degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems or 4 years of relevant data analysis experience within the IC or military Experience with data derived from technical missions, taskings, collection More ❯

a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy … deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model for AI deployments. Data … a culture of trusted data stewardship, literacy, and transparency. - Establish data governance practices including change control, provenance tracking, and auditability. - Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture. Cross-Functional Collaboration: - Align data initiatives with Product, Engineering, and Operations roadmaps. - Act as a unifying force across departments to More ❯

a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy … deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model for AI deployments. Data … a culture of trusted data stewardship, literacy, and transparency. - Establish data governance practices including change control, provenance tracking, and auditability. - Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture. Cross-Functional Collaboration: - Align data initiatives with Product, Engineering, and Operations roadmaps. - Act as a unifying force across departments to More ❯

a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy … deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model for AI deployments. Data … a culture of trusted data stewardship, literacy, and transparency. - Establish data governance practices including change control, provenance tracking, and auditability. - Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture. Cross-Functional Collaboration: - Align data initiatives with Product, Engineering, and Operations roadmaps. - Act as a unifying force across departments to More ❯

and resolve issues to keep initiatives on track. Ensure effective resource allocation and dependency management across various digital projects. Effectively manage multiple 3rd party agencies including email, development and analytics Manage and mentor a small production team (2 people) Foster a collaborative and agile working environment, promoting best practices in development and project management. Conduct performance reviews, identify training needs … technical and non-technical stakeholders, translating complex technical concepts into clear business implications. Collaborate with external vendors and partners as needed for specific digital projects or technologies. 6. Performance & Analytics: Define and track key performance indicators (KPIs) for all digital products and initiatives. Utilise data analytics to monitor performance, identify areas for improvement, and demonstrate ROI of digital investments. Implement … Proven track record of successfully leading and delivering complex digital programmes and projects from concept to launch. Expertise in agile development methodologies and project management tools. Experience with data analytics and visualization tools (e.g., Google Analytics, Looker). Demonstrated ability to build, lead, and motivate high-performing technical teams. Confident in presenting digital strategies, project progress, and outcomes to various More ❯

and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user and model telemetry from sources like Google Analytics and MongoDB to understand user behavior and guide product development. Collaborating with the engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining … analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on … scale data processing and database technologies such as MongoDB or other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated computing with CUDA is highly desirable. Excellent problem-solving skills and the ability More ❯