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Join Our Team as an Analytics Engineer! Are you passionate about turning complex data into actionable insights? Do you thrive on solving problems and enabling data-driven decision-making in the dynamic world of payments? If so, we want to hear from you! As anAnalytics Engineerspecializing in the payments space, you'll be at the forefront of analysing payment transaction … trends and contribute to process enhancements. Qualifications Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, or a related field. Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors. Proven experience in SQL,DBT and Snowflake. Proficiency in building and managing data transformations with dbt, with experience in optimizing More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

And may also supervise other support staff members, along with serving as the liaison for external contractors or service providers. Role Accountabilities Responsible for owning the MI, BI and Analytics relationship and working closely with operational leaders to ensure all reporting meets the business requirements. Importantly, this role must ensure that these functions are carried out in line with controlled …/Claims). Ensure that data is well-structured and of sufficient quality so that it can be leveraged to provide meaningful insights Help to define a data and analytics strategy which makes optimal use of business data according to industry best practice Utilise knowledge of insurance industry processes combined with the effective use of data to aid decision making More ❯

data modeling techniques for large-scale data management. Demonstrated ability to write clean, efficient code in Python and SQL, with proven experience in building and optimizing data pipelines or analytics solutions. Strong background in Agile project delivery, including sprint planning, task tracking, and collaboration using Jira (or similar agile tool), ensuring timely and high-quality deliverables. Experience with cloud platforms … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting accuracy. Conduct audits of models, visualizations, and documentation for compliance with standards. Analytics Project Delivery: Provide input during design workshops to align on deliverables and effort. Ensure timely delivery of analytics projects. Lead the team in planning and coordinating development activities. Act as … their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Innovation: Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data architecture. Develop partnerships and establish a robust analytics community for knowledge sharing. Utilize a professional network to … identify best practices and benchmark new capabilities. Qualifications: Experience : 5-7 years in Analytics, including 3-5 years as a Senior Developer/BI Lead with experience in managing and coaching others; experience in Supply Chain is preferred. Education : Bachelor’s Degree, preferably in Data Science, Computer Science, Supply Chain, or IT-related fields. Data Governance : Solid understanding of data More ❯

enhancing client value proposition. The ideal candidate will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as … technologies such as IoT, AI, or blockchain where applicable. Collaborate with the product team to integrate analytical insights into existing service offerings. Required Qualifications Master's degree in Business Analytics, Data Science, Statistics, or a related quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL … in a quantitative discipline or MBA with a focus on analytics. Experience in the real estate, facilities management, or related industries. Certification in relevant areas (e.g., AWS Certified Data Analytics, Google Data Analytics Professional Certificate). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Experience with data visualization design principles and storytelling techniques. More ❯

GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Ability to write code in either Python or SQL, with knowledge in building and optimizing data pipelines or analytics solutions. Familiarity with popular relational databases (e.g., MySQL, PostgreSQL, SQL Server) Basic understanding of ETL processes and tools (e.g., Talend, Informatica, or similar) Exposure to cloud-based data services (e.g. … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

processes, provide easier access to quality business data and will invest in the right technology to enable these processes. Why is this exciting for your career as the Data & Analytics Service Delivery Manager? The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an … and team ship building as Greencore, build, mature, strengthen and bolster their Technology department. What you'll be doing: You will provide the efficient, effective delivery of data and analytics services across the organisation, by ensuring our data platforms, analytics solutions & associated services meet business requirements and service level agreements (SLAs). To drive the adoption of data-driven insights … ensuring high-quality, reliable & timely analytics are delivered to the business. The primary point of contact for data service-related incidents, service performance & continued improvements to data services. Oversee the operation of data and analytics platforms, ensuring services meet the defined SLAs, coordinating with cross 1 functional teams (data engineers, data scientists, business analysts and IT operations) to deliver solutions More ❯

processes, provide easier access to quality business data and will invest in the right technology to enable these processes. Why is this exciting for your career as the Data & Analytics Service Delivery Manager? The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an … and team ship building as Greencore, build, mature, strengthen and bolster their Technology department. What you'll be doing: You will provide the efficient, effective delivery of data and analytics services across the organisation, by ensuring our data platforms, analytics solutions & associated services meet business requirements and service level agreements (SLAs). To drive the adoption of data-driven insights … ensuring high-quality, reliable & timely analytics are delivered to the business. The primary point of contact for data service-related incidents, service performance & continued improvements to data services. Oversee the operation of data and analytics platforms, ensuring services meet the defined SLAs, coordinating with cross [1]functional teams (data engineers, data scientists, business analysts and IT operations) to deliver solutions More ❯

edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term … and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure … in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What More ❯

Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in … offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact Click "Apply" to get started. The Head of Data & Analytics Architecture and AI mission has three facets. 1) To own the D&A Architecture ensuring alignment with business objectives and the technology transformation agenda for D&A to provide enabling … Digital services such as Data as a Service via APIs and Insights as a Service 2) To own and deliver the technology capability for Data, Analytics and AI (D&A). Working closely with the Squads on a daily basis, the Lead Engineer will help the squads deliver maximum outputs for each sprint ensuring each sprint delivers the longer term More ❯

to-end delivery of Power BI solutions, from requirements gathering and data modelling to dashboard design and deployment, ensuring alignment with client objectives. Engage with enterprise customers to define analytics strategies, develop KPIs, and translate business needs into technical specifications, fostering strong stakeholder relationships. Design and optimize semantic data models using Power BI and Azure Analysis Services, applying best practices … Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions, and enablement programs to enhance customer analytics capabilities and promote self-service BI. Provide thought leadership in visual analytics, staying current on industry trends, Power BI advancements, and Azure data technologies to deliver innovative solutions. Mentor junior … consulting practice. Lead technical workstreams, manage client engagements, and ensure successful project outcomes. What You'll Bring to the Role Experience : 5+ years of experience in business intelligence, data analytics, or data engineering, with hands-on expertise in Power BI in enterprise environments. 3+ years in client-facing consulting roles, delivering complex BI or data projects. Proven success in fostering More ❯

to write simple queries and create basic data structures. Demonstrated ability to write clean, efficient code in Python and SQL with knowledge on building and optimizing data pipelines or analytics solutions. Foundational understanding of data pipelines and ETL/ELT processes, including data ingestion and transformation concepts. Basic knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) with a … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute the More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute the More ❯

strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and completeness. This includes working with More ❯

strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and completeness. This includes working with More ❯

the development of core analytical products that enhance the capabilities of data professionals throughout our university. You'll work closely with our Operational Research team in providing them with analytics and data science capabilities that enhance their organisational interventions. You'll use your business acumen to understand our business goals and align data initiatives with our goals to drive change More ❯

manner. Stakeholder Engagement and Relationship Management: Build and maintain strong working relationships with both internal teams and external suppliers. Collaborate with stakeholders to understand reporting needs and deliver tailored analytics solutions.Policy Communication: Ensure that all changes to existing policies and procedures are communicated effectively to staff. The post holder will be responsible for ensuring that staff understand and adhere to More ❯

Analytics and Insights Lead, Private Pricing Analytics and Insights (PPA&I) Job ID: AWS EMEA SARL (UK Branch) Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI … solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in London, will focus on … Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to transform business requirements into actionable solutions. You'll develop a deep More ❯

Data Analytics Manager Derby (Hybrid) Permanent £35,000 (DOE) + Benefits Data Analytics Manager needed for a permanent career opportunity based in Derby (Hybrid). Start ideally June/July 2025. A chance to join a growing data analytics consultancy specialising in delivering data insight solutions for the Rail industry. Key skills, experience + tasks will include: Leading the development … + delivery of Data Analytics solutions that support strategic decision-making for clients. Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation + data dashboards. Must have strong Data Analytics experience including: SQL and data visualisation tools (PowerBI, Tableau or Looker). Building interactive data dashboards and reports using Power BI or Tableau. Extracting … to develop clear data insights. Statistical analysis or predictive modelling experience preferred. Working with key stakeholders to scope data requirements + define data solutions. Driving continuous improvement in data analytics processes + data governance policies. Mentoring junior data analysts, data governance + establishing best practices for data analytics. Advantageous: cloud platforms (AWS, Azure, GCP), Python/R data analysis, Rail More ❯