11 of 11 Analytical Skills Jobs in Luton

understanding of chemistry- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you More ❯

to align access with easyJet needs and processes, • Support and address issues with Joiners, Movers and Leavers processes, Identity Governance and Administration workflows related to onboarding/offboarding. KEY SKILLS REQUIRED Below are the key technical skills required by an Identity and Access Management Analyst: • Demonstrable experience in IAM, security, and system administration, • Strong knowledge of Identity lifecycle … tools for reporting purposes, • Understanding of security best practices (least privilege, SSO, RBAC, MFA, Zero Trust), regulatory compliance requirements (PCI DSS V4) and NIST Cyber Security Framework V2.0, • Strong analytical, troubleshooting, and documentation skills, including process mapping, • Strong communication and stakeholder management skills with external teams in IT and business. What you’ll get in return: At More ❯

requirements and realise business benefits. Build a documentation library and data catalogue for developed code/products. Oversight of project deliverables and code quality going into each release. Key Skills Required Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. Clear … about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical Skills Required Significant experience designing and building data solutions on a cloud based, big data distributed system. Hands-on software development experience with Python and experience with modern software development … principles (security and data privacy) and how they can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. GDPR) Desirable Skills Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the More ❯

note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme … career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this … listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately More ❯

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into … career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this … listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately More ❯

with Business Analysts to deliver against requirements and realise business benefits. • Work with a mixed team of onshore and offshore resource to work with consistent standards and frameworks. Key Skills Required • Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. • The … role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. • Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. … Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and More ❯

Technology Evaluation & Selection - Evaluate current and emerging technologies through a user-centric lens. • Strategic Partnerships & Value Realisation - Build strong relationships with internal and external partners (e.g., Microsoft & TCS) TECHNICAL SKILLS REQUIRED Technical Expertise & Product Knowledge Deep expertise in Microsoft 365 suite: Teams, SharePoint, OneDrive, Viva, Power Platform. Familiarity with M365 Admin Centre, usage analytics, and reporting tools. Awareness of … Stream, Forms, PowerPoint). Skilled in developing and delivering engaging training and enablement resources. Experience applying change management frameworks (e.g., ADKAR, Kotter). Excellent communication and stakeholder engagement skills. Analytical mindset and commitment to continuous improvement. Change Management & User Enablement • Experience in digital adoption and organisational change • Strong stakeholder engagement and influence • Skilled in developing training programs, workshops, and … Excellent communication of technical concepts • Ability to work cross-functionally with IT, business units, and leadership • Active presence in champion networks to embed M365 best practices Problem-Solving & Innovation • Analytical mindset to identify and resolve adoption barriers • Ability to drive continuous improvement based on user feedback We operate a hybrid working policy of up to 60% of the month More ❯

principles set out within the BCS Business Analysis Diploma certification. To succeed as a business analyst, you should be somebody who enjoys problem solving and analysing, has good administration skills and communicates well in both written and verbal communication. You should be somebody who can work well alone but when needed be able to integrate well into a team. … diploma, you will be handed over to our recruitment support team. They will then work with you to help rewrite your cv to a professional standard to highlight the skills required by Business Analyst recruiters. In addition, they will also assist in creating a professional LinkedIn profile, interview support, career advice and tailored support such as taking you through … help you to prepare for interviews and perform at your best. Typically, starter roles will be junior business analyst, junior analyst or a support/admin role utilising your analytical skills. Business Analysts work closely with Project Managers and Change Managers and opportunities in these areas also exist which broadens the net in these sister sectors. Further study into More ❯

and solutions, ensuring effective communication and alignment between technical capabilities and business needs. • Guide & support the realisation of the data product strategy for assigned business areas, collaborating with technical, analytical, and business teams. • Oversee architectural activities within Domains driving Data Engineering, Data Science and Data Analytics Architecture • Supports the establishment of architectural standards for modelling, storing, and accessing data … Product Owners, facilitating communication and understanding to drive productive discussions on data strategy and model implementation. • Responsible for maintaining and governing logical and physical data models for Data and Analytical solutions by working closely with Data Engineering Technical leads and Data modellers, along with that responsibilities you should maintain consistency across the products. • Support the work in building data … dictionaries, and data governance frameworks, by working closely with the Data governance Team. KEY SKILLS REQUIRED This role requires a combination of IT/product architecture, stakeholder management and leadership skills, and the ability to bridge and balance business and IT factors that influence the direction of easyJet’s IT architecture. Being an inspiring and engaging communicator is More ❯

to ensure data quality, as well as to make our data discoverable, accessible, and effectively used both within the domain and across the organization. JOB ACCOUNTABILITIES • Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders and at CxO level. • Problem Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying … data management and metadata management) o Data management tools (data quality, reference data management and metadata management) and experience working with them o Data ownership and stewardship models KEY SKILLS REQUIRED • Delivery focused, the definition of done is focused on adding and delivering value by leveraging reusable data assets and products, making them discoverable by the business to drive … development methodologies and interaction of data governance within DataOps. • Proficiency in using data governance tools and platforms to automate and optimise data management steps and gateways into data and analytical pipelines. • Expertise in implementing and managing statistical process controls for data quality measurement, continuous observability, and data quality remediation. • Strong SQL background – comfortable writing efficient SQL (Transact-SQL, Hive More ❯

to ensure data quality, as well as to make our data discoverable, accessible, and effectively used both within the domain and across the organization. JOB ACCOUNTABILITIES Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders and at CxO level. Problem Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying … management) o Data management tools (data quality, reference data management and metadata management) and experience working with them o Data ownership and stewardship models Requirements of the Role KEY SKILLS REQUIRED Delivery focused, the definition of done is focused on adding and delivering value by leveraging reusable data assets and products, making them discoverable by the business to drive … development methodologies and interaction of data governance within DataOps. Proficiency in using data governance tools and platforms to automate and optimise data management steps and gateways into data and analytical pipelines. Expertise in implementing and managing statistical process controls for data quality measurement, continuous observability, and data quality remediation. Strong SQL background – comfortable writing efficient SQL (Transact-SQL, Hive More ❯