AI Transformation Engineer

Senior Analyst, Threat Detection and Response

AVP, Principal Software Engineer (Front-End)

Office Manager

Senior Manager - Revenue Management

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Global AI Legislation Content Optimisation Lead

AVP, Channel Marketing

Analytical Editorial Operations Manager

Consultant, Data Analytics & Reporting-Food

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Responsibilities: <ul><li>Continuously monitor security consoles and dashboards (SIEM, EDR, etc.) for suspicious activity; triage alerts to identify valid security incidents versus false positives and prioritize response based on asset criticality and business risk.</li><li>Investigate suspicious activities and security events, determine the scope and severity of incidents, and gather relevant evidence. Perform root cause analysis to identify attack vectors and affected systems.</li><li>Execute incident response actions end-to-end – including timely containment of threats, eradication of malicious artifacts, and system recovery – following the organization’s incident response plan. Coordinate with IT infrastructure, application owners, and other stakeholders to ensure effective remediation of incidents.</li><li>Proactively hunt for indicators of compromise and hidden threats in logs, network traffic, and endpoint telemetry, even without specific alerts. Use hypothesis-driven techniques and knowledge of attacker TTPs to uncover stealthy or emerging threats that evaded initial detection.</li><li>Continuously tune SIEM/EDR detection rules, thresholds, and SOAR playbooks—automating repetitive response actions to reduce false positives and accelerate containment</li><li>Leverage internal and external threat intelligence sources to enrich analysis and response. Stay updated on new vulnerabilities and adversary tactics; incorporate this knowledge to adjust monitoring rules and incident response strategies. Map observed malicious activities to frameworks like MITRE ATT&amp;CK for reporting and analysis.</li><li>Work closely with global SOC team members and escalate complex incidents to senior analysts or incident response leads when necessary. Collaborate with colleagues in other regions to ensure seamless coverage and knowledge sharing across the security team.</li><li>Document investigation steps, findings, and actions taken for each incident in a clear and concise manner. Prepare incident reports and contribute to post-incident review meetings, highlighting what occurred, how it was resolved, and recommendations to prevent future occurrences.</li><li>Assist in developing and updating incident response playbooks, standard operating procedures, and knowledge base documentation. Provide feedback and suggestions to improve security monitoring tools, analytics content (detection rules), and workflow automation (SOAR playbooks) for greater efficiency and effectiveness.</li><li>Share insights from incidents and trending threats with the broader team to enhance overall awareness. Mentor and guide junior analysts (Tier 1 SOC analysts) by sharing analysis techniques and best practices, elevating the team’s collective skill level.</li></ul> Requirements: <ul><li>Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or equivalent threat management &amp; incident response experience</li><li>Currently hold cybersecurity certifications such as GCIH, GCFA, GCIA, CEH, others</li><li>With 3 years or more, progressive experience in at least two of the following disciplines:</li><li>Threat Detection &amp; Analysis (leveraging SIEM tools, IDS/IPS, endpoint detection, log analysis, etc.)</li><li>Incident Response &amp; Management (developing response plans, executing playbooks, forensic investigations, root cause analysis)</li><li>Threat Hunting (identifying undetected threats through proactive analysis and hypothesis-driven investigation)</li><li>Cyber Threat Intelligence (gathering and analyzing threat intelligence to inform detection capabilities and preventive measures)</li><li>Network Security (TCP/IP protocols, firewalls, intrusion prevention systems, and network traffic analysis)</li><li>Securing and monitoring operating system and cloud environments (AWS, Azure, GCP), including analyzing cloud service logs and configurations for suspicious activities, and understanding cloud-native security controls and best practices</li><li>Demonstrated ability to:</li><li>Function as a Level 2 or 3 SOC Analyst (analyzing and responding to cybersecurity incidents)</li><li>Preferred Experience:</li><li>Experience with SOAR tools and some proficiency in scripting languages (e.g., Python, PowerShell) to automate repetitive tasks and streamline incident response workflows</li><li>Advanced understanding of emerging threats, zero-day vulnerabilities, and common attack vectors (phishing, malware, ransomware, lateral movement) with the ability to ensure rapid detection and response</li><li>Hands-on experience using SIEM and EDR platforms for centralized log analysis, real-time threat monitoring, and in-depth incident investigations</li><li>In-depth knowledge of the incident response lifecycle</li><li>Proven ability to conduct proactive threat hunting operations, leveraging the MITRE ATT&amp;CK framework to map adversary tactics, techniques, and procedures (TTPs), uncover stealthy threats, and close gaps in detection coverage</li><li>Familiarity with cyber threat intelligence feeds and standards (e.g., STIX, TAXII), incorporating IOCs (Indicators of Compromise) and threat intel data into monitoring and investigations to enrich context and anticipate emerging threats</li><li>Understanding of key security frameworks and regulations (e.g., NIST CSF, ISO 27001, GDPR) and the ability to align threat detection and incident response processes with organizational policies and compliance requirements</li><li>Effective at coordinating with cross-functional teams (IT, DevOps, Business, etc.) during high-impact incidents and translating complex technical findings into clear, actionable insights for executive and non-technical stakeholders</li></ul>

Responsibilities: <ul><li>Lead development teams through all phases of the Agile development life cycle.</li><li>Coach and mentor junior talent, including pair-programming and reviewing AIgenerated code with engineering judgment.</li><li>Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create</li><li>amazing apps.</li><li>Champion responsible adoption of AI coding assistants (GitHub Copilot, Claude Code, Cursor) on the team—setting prompt patterns, distinguishing AI Skills</li><li>(deterministic capabilities) from Agents (autonomous, multi-step workflows), and following company guidance for data handling, PII protection, IP compliance, and code provenance in regulated financial services contexts.</li><li>Ensure compliance with architecture, security, and technology standards set by company.</li><li>Participate in addressing root cause analyses, incident reports, and provide direction in problem resolution.</li><li>Ability to analyze production defects, troubleshoot systems, identify root cause, and implement fixes.</li><li>Provide 24x7 on-call support periodically throughout the year.</li><li>Identify ways to increase efficiency and improve system performance, including by piloting AI tools and agentic workflows for repetitive engineering tasks.</li><li>Work with third party vendors to develop software and/or integrate their software into company products.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum of 5 years in full stack development with a strong focus on JavaScript (React JS in particular) OR, in lieu of degree, with 7 years of experience in the same.</li><li>Hands-on experience using at least one AI coding assistant (GitHub Copilot, Claude Code, Cursor, or equivalent) as part of regular development workflow.</li><li>Proficiency in TypeScript, JavaScript, React, Redux, Styled-Components, and RTL or Cypress.</li><li>Familiarity with AI-native concepts—RAG patterns, vector databases, MCP (Model Context Protocol), and agent orchestration—and how they differ from</li><li>traditional architecture.</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama). Exposure to building or customizing AI agents/skills using LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) for engineering automation such as code review, documentation, or migration assistants.</li><li>Live and breathe testing.</li></ul>

Responsibilities: <ul><li>Perform a wide range of administrative tasks to support senior management in leading the organization effectively. This includes assisting with special projects, creating complex documents, reports, and presentations, gathering and preparing information for meetings with staff and external parties, drafting correspondence, maintaining contact lists, arranging travel, and processing expense reports.</li><li>Organize and manage all logistics for executive meetings and events, including scheduling meetings, drafting agendas, preparing and distributing presentation materials, and taking minutes. Ensure compliance with relevant rules and regulations for these meetings and events.</li><li>Prioritize inquiries and requests, addressing conflicts as they arise, and making informed decisions to ensure smooth daily operations.</li><li>Act as the primary contact for internal and external stakeholders regarding senior management matters, including those of a sensitive or critical nature. Assess and determine the best course of action or response, reflecting the style of senior management and organizational policies.</li><li>Collaborate closely with senior management to keep them informed of upcoming commitments and responsibilities, following up as necessary. Anticipate their needs ahead of meetings, conferences, and other engagements.</li><li>Serve as a “gatekeeper” and “gateway,” facilitating smooth communication between senior management and staff while fostering credibility, trust, and support within the Executive Team.</li><li>Oversee all aspects of the organization’s office services. Evaluate and help develop office policies and procedures to improve workflow and anticipate future needs as the organization grows. Assist in vendor selection and procurement of necessary equipment, services, and supplies.</li><li>Restock office materials, including snacks, printer supplies, paper, and general office supplies.</li><li>Provide event management support as needed.</li><li>Extend hospitality to all guests, contributing to a welcoming atmosphere.</li><li>Focus on building and maintaining strong relationships with both internal and external stakeholders.</li><li>Manage the office supplies inventory by monitoring stock levels, anticipating needs, assessing new products, placing and expediting orders, and verifying the receipt of supplies.</li></ul> Requirements: <ul><li>A graduate qualification.</li><li>Strong administrative and organisational capabilities.</li><li>Excellent planning and coordination skills.</li><li>Sound decision-making and problem-solving abilities.</li><li>Strong written and verbal communication skills.</li><li>Excellent interpersonal skills with the ability to build effective relationships across all levels.</li><li>A proactive approach with the ability to anticipate needs and work independently.</li></ul>

Responsibilities: <ul><li>Develop pricing strategies and tactics to drive profitable visitation by implementing effective admissions pricing development strategy, including discounts, seasonal structure, package structure, promotions, and channel strategy</li><li>Manage product offerings to optimize revenues and ensure proper implementation</li><li>Provide the organization with in-depth analyses and actionable business insights to maximize profits through the application of forecasting, pricing optimization and demand management in order to achieve company financial goals.</li><li>Record and analyze sales data to better understand guest/client behavior by identifying trends, patterns, and irregularities in consumer transactions.</li><li>Conduct consumer research to generate insights and create tools that allow for visual analysis of data</li><li>Prepare weekly and monthly reporting in regard to sales and booking data and lead business reviews with stakeholders</li><li>Prepare the production of annual budget by providing insight into future sales volumes and revenues and identifying risks and opportunities</li><li>Create and maintain business relationships with key stakeholders in Sales, Marketing, Distribution, Finance, IT, and Operations to identify opportunities to improve long-term company profits as well as execute the plans on a daily basis</li><li>Conduct competitive research and industry benchmarking to provide background information for the Pricing strategy and Identify industry practices in Revenue Management</li><li>Implement processes and drive recommendations for Sales and Ticketing and identify procedures for effective workflow&nbsp;</li><li>Ensure available technology is fully utilized and understood according to requirements.</li><li>Create and maintain high standards of data quality through system maintenance and audits</li><li>Assist the Sales &amp; Marketing Teams in defining marketing campaigns and sales actions, to ensure that the right people are reached at the right time, in the right place, with the right price</li><li>Set targets for selling and upselling to sales or reservation departments&nbsp;</li><li>Identify gaps and recommend opportunities at both park/assets and corporate level and engage resources into activity planning to achieve revenue targets</li><li>Ensure relevance of pricing research and data used in price recommendations and provide feedback on pricing and packaging</li><li>Ensure relevant reporting is delivered in a timely manner to the right stakeholders</li><li>Identify tools and processes allowing for improved control and visualization and ensure available technology is fully utilized and understood&nbsp;</li></ul> Requirements: <ul><li>Minimum of 5-7 years professional working experience in Hospitality, Tourism, Government, Theme Park industry or FMCG&nbsp;&nbsp;</li><li>Team leadership, coaching, development, recruitment and alignment within Sales, Marketing and eCommerce teams</li><li>Strategic commercial planning and execution</li><li>Degree in Business Administration and/or Hospitality Management</li><li>Experience with pricing strategy and forecasting is essential.</li></ul>

Responsibilities: <ul><li>Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.</li><li>Develop and maintain the entire DevOps pipelines.</li><li>Ensure seamless deployment and integration between cloud/prem environments (AWS).</li><li>Integrate AI models into production environments using containerized platforms such as OpenShift.</li><li>Implement and maintain network security protocols to safeguard AI systems and data pipelines.</li><li>Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.</li><li>Monitor and optimize system performance, reliability, and scalability.</li><li>Support CI/CD processes and infrastructure for AI model deployment and updates.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Bash and Unix/Linux command-line toolkit is a must-have.</li><li>Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).</li><li>Hands-on experience with OpenShift, Docker, Kubernetes.</li><li>Knowledge of cloud platforms (e.g. AWS) is a must-have.</li><li>Exposure to data and network security and compliance in AI systems.</li><li>Knowledge of API integration and microservices architecture.</li><li>Proficiency in Python used both for automation and ML-related tasks</li><li>Knowledge of Workflow Orchestrator, such as Ctrl-M</li><li>Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.</li><li>Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, Open Telemetry.</li><li>Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.</li></ul>

Role Description: <ul><li>This is a strategic individual contributor role within the Global Editorial Operations (GEO) team, responsible for driving AI-enabled transformation across legislative and regulatory content. </li><li>The successful candidate will partner closely with Editorial, Product and Technology teams to identify opportunities where AI and Large Language Models (LLMs) can improve content creation, enrichment, summarisation, classification, quality and workflow efficiency at a global scale.&nbsp;</li><li>While experience within legal or legislative publishing would certainly be advantageous, the hiring team is equally interested in professionals who have successfully led AI-enabled workflow optimisation and editorial transformation initiatives in publishing, information services, knowledge management or other content-rich environments.</li></ul> Responsibilities: AI Strategy &amp; Transformation&nbsp; <ul><li>Develop the global strategy for AI-enabled content creation and optimisation.</li><li>Identify opportunities to leverage LLMs, NLP and automation across editorial workflows.</li><li>Lead AI transformation initiatives from concept through implementation.</li></ul> Cross-functional Collaboration&nbsp; <ul><li>Partner with Product, Technology and Editorial teams to deliver scalable AI solutions.</li><li>Drive adoption of AI-enabled tools and new ways of working across global teams.</li><li>Influence stakeholders without direct line management responsibility.</li></ul> Editorial Excellence&nbsp; <ul><li>Define standards for AI-generated and AI-assisted content.</li><li>Ensure quality, consistency and responsible AI practices across editorial operations.</li><li>Develop best practices and training to improve AI capability across the organisation.</li></ul> Requirements: <ul><li>Experience leading AI or Generative AI workflow transformation.</li><li>Strong Editorial, Content Operations or Publishing background.</li><li>Experience implementing LLMs, NLP or AI-driven content solutions.</li><li>Programme or Product Management experience within content-rich environments.</li><li>Excellent stakeholder management and cross-functional leadership skills.</li><li>Legal, regulatory or legislative publishing experience is advantageous but not essential.</li></ul>

Responsibilities: <ul><li>Liaise with clients and peers within Performance Marketing to deliver complex channel requests &amp; problem-solving (e.g., new clients, new offers/products, escalated requests related to timeline or complexity).</li><li>Drive the re-imagination of channel execution, transforming to become more flexible, and agile, and deliver expedited cross-channel campaign solutions for all portfolios.</li><li>Scrum Master of Pod; runs stand-ups, assigns workload, trains Pod members on portfolio nuances, and ensures completion of all work.</li><li>Manage , train &amp; mentor/coach team members to ensure competency in multi-channel execution, career growth pathing and enhance performance.</li><li>Act as subject matter expert for advanced email skillsets (e.g., data, execution processes, platforms, suppliers/agencies).</li><li>Manage project initiatives as assigned (e.g., temporary resources, supplier/agency reviews, platform upgrades, client initiatives, cross-channel strategy).</li><li>Manage file selection and segmentation of channel marketing campaigns and facilitate accurate execution of “file only” requests.</li><li>Collaborate with client marketers on optimal design, creative, and segmentation to drive email touchpoints, assisting clients with the agency creative process and legal approval.</li><li>Work within designated email platforms to build and launch email marketing campaigns, adopting AI features to streamline build processes and improve campaign effectiveness.</li><li>Audits high complexity and/or flagged campaigns, including approving campaign requirements.</li><li>Shares campaign performance metrics back to client teams and account managers for continuous campaign improvement.</li><li>Investigate, develop, and champion pilot strategies for next-generation channel optimization.</li><li>Ensure all campaigns meet required campaign documentation requirements.</li><li>Drive advancement and adoption of responsive design for mobile optimization.</li><li>Ensure adherence to purchase order and invoice management procedures.</li><li>Drive continued adoption and consistent usage of Performance Marketing process tools by team and clients, including compliance with records retention.</li><li>Perform other duties and/or special projects as assigned, with a focus on exploring and integrating AI-driven innovations to improve overall marketing operations.</li></ul> Requirements: <ul><li>Bachelor’s degree with overall 5+ years of experience with the financial services industry or Marketing or Digital experience; In lieu of degree overall 7+ years of experience with the financial services industry or Marketing or Digital experience</li><li>Minimum 5+ Years of email with hands-on experience of building and deploying commercial emails leveraging Agile methodology</li><li>Minimum 5+ years of experience with the enterprise email service platform: Zeta (Athena, Workflow Automation, Channel path optimization, Experience Builder, Propensity &amp; Moment scoring, etc)</li><li>5+ years of experience working with US stakeholders and cross-functional teams</li><li>Exposure to project management tool: COSMOS Workfront (or) MRM (or) Jira (or) ProofHub etc.</li><li>Strong project management skills, attention to detail, and ability to work under tight deadlines</li><li>Proficient with Microsoft Office Suite including Outlook, Word, Excel, and PowerPoint</li><li>Strong Change Management skills - effective communicator, good at holding "crucial conversations" with clients and internal partners</li><li>Strong written &amp; verbal communication skills</li><li>Good team player</li></ul>

Responsibilities: <ul><li>Lead a team of UK-based editors to create, maintain, and deliver exceptional analytical content for Legal and Tax Markets portfolios, as well as for Halsbury’s Laws of England and the Stair Memorial Encyclopaedia of the Laws of Scotland.</li><li>Lead adoption of AI as a core component of editorial workflows, guiding the team to leverage LLMs and AI-enabled tools to drive efficiency, scale, and content innovation; document and iterate prompts, and apply strong editorial judgment to validate, refine, and continuously improve outputs for publication and stakeholder use.</li><li>Set and elevate expectations for team performance and operational success; own, drive and articulate performance KPIs, manage metrics dashboards and production schedules; set and track productivity goals; and take decisive action to ensure content meets quality, timeliness, and completeness targets.</li><li>Support the development of an integrated global team, influencing stakeholders across regions to maximise operational value through shared best practices, tools, and the continuous improvement of digital and print workflows.</li><li>Develop a cross-trained team across UK analytical editorial operations functions, enabling flexibility to respond to changing priorities and workload demands within and across business units.</li><li>Conduct regular coaching sessions, mid-year reviews, and annual evaluations, building a high-performing, accountable team and fostering a culture of continuous improvement, collaboration, and innovation.</li><li>Collaborate closely with commercial (in-market) stakeholders and Global Operations and Global Tech teams, ensuring editorial operations are aligned to global priorities, customer needs, and product performance.&nbsp;</li></ul> Requirements: <ul><li>Bachelors degree in law preferred.</li><li>Candidate must reside in the United Kingdom.</li><li>6+ years of people management experience required.</li><li>Hands-on experience deploying AI in workflows (content/knowledge domain preferred), translating use cases into scalable operating models with a focus on measuring impact on quality, throughput, and risk.</li><li>Proficient in Microsoft Suite, including Excel and PowerPoint; experience using project management software such as Monday.com or Asana; XML a plus.</li><li>Publishing or content experience preferred.</li><li>Change management experience preferred.</li></ul> Skills: <ul><li>Strong interpersonal, communication, and presentation skills; ability to synthesise relevant information for Global Editorial Operations and commercial leaders and your team.</li><li>Collaborative management style with ability to lead cross-functional, team-based, deadline-intensive strategic initiatives and delivery.</li><li>Business/commercial acumen; data analysis.</li><li>Excellent organization/project planning and time management.</li><li>Strong process-orientation (developing consistent processes, documenting best practices, etc.).</li><li>Experience leading teams through organizational transformation, operating effectively in environments where priorities, processes, and ways of working continue to evolve.</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Skills

Industry

Location

Jobtitle

25 workflow or authorizations Jobs found

AI Transformation Engineer

Senior Analyst, Threat Detection and Response

AVP, Principal Software Engineer (Front-End)

Office Manager

Senior Manager - Revenue Management

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Global AI Legislation Content Optimisation Lead

AVP, Channel Marketing

Analytical Editorial Operations Manager

Consultant, Data Analytics & Reporting-Food

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

25 workflow or authorizations Jobs found

AI Transformation Engineer

Senior Analyst, Threat Detection and Response

AVP, Principal Software Engineer (Front-End)

Office Manager

Senior Manager - Revenue Management

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Global AI Legislation Content Optimisation Lead

AVP, Channel Marketing

Analytical Editorial Operations Manager

Consultant, Data Analytics & Reporting-Food

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.