futureproof consulting

Data Analyst

• Transform data into reliable business intelligence for the Spanish organization
• Support operational performance, financial control, customer and merchant insights, and evidence-based decision-making
• Partner with Business, Finance, Operations, Product, Technology, Data Engineering, and Data Governance teams
• Consolidate information from multiple platforms and define trusted KPIs
• Investigate discrepancies across transaction, payment, ordering, billing, invoicing, and financial-control processes
• Deliver recurring and ad-hoc analysis supporting operational decisions, growth initiatives, service quality, and management reporting
• Communicate findings, assumptions, limitations, and recommended actions to technical and non-technical stakeholders
• Analyze and reconcile data from multiple systems, databases, files, and external partners
• Design and maintain unified analytical datasets and repeatable controls
• Collaborate with Data Engineering and source-system owners to define transformation rules, resolve data defects, and improve data availability
• Develop, maintain, and optimize dashboards primarily using Power BI and, where relevant, Qlik Sense, Metabase, or comparable BI tools
• Use advanced SQL to query, transform, validate, and analyze large datasets
• Apply Python and/or R for statistical analysis, automation, or repeatable analytical processing
• Create visualizations and data stories that make complex findings understandable and actionable
• Apply trend analysis, segmentation, forecasting, regression, control sampling, and anomaly detection
• Define and document business metrics and KPIs, including calculation rules, ownership, source systems, refresh frequency, and quality thresholds
• Contribute to data glossary, metadata, data lineage, and master-data initiatives
• Establish and monitor data-quality controls covering completeness, accuracy, consistency, timeliness, uniqueness, and traceability
• Ensure data handling complies with security, privacy, access-control, retention, and regulatory requirements
• Contribute to data integration, platform migration, and reporting-modernization initiatives
• Ensure continuity of KPIs, reporting, and controls during system or platform transitions
• Maintain documentation for datasets, dashboards, analytical models, business rules, and controls
• Manage priorities transparently and contribute to agile planning and delivery processes
• Take ownership of agreed analytical outcomes

Data Analyst, Spanish Speaker

Manager

• Partner with the M&A team during due diligence and pre-close planning to assess integration requirements, risks, dependencies and implementation costs
• Translate deal assumptions and the investment thesis into a practical post-close integration roadmap
• Develop Day 1, 30/60/90-day and longer-term integration plans for each acquisition
• Identify integration complexity early and establish appropriate resources, ownership and sequencing
• Support integration-related inputs into Investment Committee and transaction planning
• Own and manage end-to-end integration programmes for newly acquired businesses
• Establish workstreams, milestones, dependencies, governance, decision rights and accountabilities
• Coordinate functional integration across Finance, People, IT, Data, Commercial and Operations
• Run integration governance with acquired company leadership, group functional owners and senior management
• Track progress, risks, issues and decisions, proactively driving resolution
• Manage multiple integrations concurrently
• Define Target Operating Models with functional leaders and acquired management teams
• Assess processes, organisational structures, systems and capabilities and identify required changes
• Determine what should be standardised or centralised at group level and what should remain local
• Support process standardisation, shared-service implementation, systems migration and organisational redesign
• Translate the investment case into a measurable Value Creation Plan
• Establish baselines, targets, owners and delivery plans for revenue, cost and operational synergies
• Track synergy capture and implementation costs against the deal case
• Validate realised benefits with Finance and functional leaders
• Identify delivery gaps and drive corrective action
• Develop reporting on integration progress and value creation
• Develop integration methodology, playbooks, templates and governance
• Build a repeatable integration approach that scales with acquisition activity
• Capture lessons learned and incorporate them into future due diligence and integration planning
• Help establish an integration culture across the group and portfolio businesses

Integration Manager – Post Merger Integration

Head of Department

• Own the strategy, operating model and day-to-day effectiveness of IT across the group
• Define and implement the Group IT strategy and Target Operating Model
• Determine which capabilities should be managed internally, outsourced to MSPs or delivered through specialist partners
• Establish responsibilities, decision rights, standards, policies, governance and KPIs
• Build a roadmap for moving portfolio businesses from fragmented local environments towards the agreed target state
• Own strategy and standards for devices, networks, connectivity, cloud infrastructure and workplace technology
• Lead infrastructure consolidation, migration and onboarding initiatives
• Design and implement a scalable Group IT service-management model
• Establish service desk, incident, request, problem and change-management processes
• Define service-level agreements and performance KPIs
• Ensure responsive technology support across multiple countries and personally engage with operational issues when required
• Establish and maintain a cybersecurity framework and minimum security standards
• Own identity and access management, endpoint security, vulnerability management, backup and recovery, security monitoring and incident response
• Assess cybersecurity maturity and prioritise remediation across acquired businesses
• Coordinate MSPs and specialist cybersecurity providers
• Give the CEO and leadership team visibility of material cyber risks
• Establish a group operating model for data protection and privacy
• Ensure controls support GDPR and other applicable privacy requirements
• Define responsibilities for Data Protection Officer activities and support data mapping, retention, access controls and incident management
• Partner with M&A and Integration teams on technology due diligence
• Identify technology risks, technical debt, integration requirements and one-off costs before acquisition
• Develop Day 1 and post-close integration plans
• Lead technology integration and establish a repeatable IT M&A integration playbook
• Design an MSP strategy and manage central and regional MSPs and vendors
• Rationalise overlapping vendors and services
• Optimise technology spend while maintaining service quality and resilience
• Build and maintain a prioritised Group IT transformation roadmap
• Lead or project-manage critical technology initiatives, migrations, infrastructure changes, security remediation and systems implementations
• Report on IT projects, risks, costs and performance
• Act as senior IT leader and trusted adviser to the CEO and leadership team
• Build internal IT capability and define roles across internal teams, portfolio companies, MSPs and vendors
• Manage the Group IT budget and support technology investment decisions
• Build a culture of service, security, accountability and continuous improvement

Head of IT – Global Travel Startup

Business Intelligence Analyst

• Gather and analyse requirements from business stakeholders
• Translate business questions into KPIs, analytical models and reporting solutions
• Design and maintain business and semantic data models
• Develop governed measures and calculations using DAX
• Build dashboards, reports and reusable analytical products in Power BI
• Perform detailed analysis and translate findings into actionable business insights
• Validate data, calculations and conclusions with relevant stakeholders
• Ensure consistent KPI definitions across reports and business functions
• Independently manage analytical solutions from requirement gathering to production delivery
• Collaborate with Data Engineering on data availability, structure, quality and transformation requirements
• Create clear documentation for semantic models, business definitions, KPIs and analytical products
• Help prepare Power BI semantic models for AI-assisted and natural-language analytics
• Contribute to the development of scalable and governed BI practices

Senior Data Intelligence Analyst – Microsoft Fabric, Power BI, AI

General

• Design, configure, and maintain core Veeva Vault building blocks, including Objects, Object Types, Lifecycles, Workflows, Page Layouts, Security Profiles, Sharing Rules, Roles, and Document Types/Binders
• Drive functional configuration for at least one major Vault application, such as Clinical, RIM, QualityDocs/QMS, Safety, or Medical
• Use the Vault Admin Console, Vault Loader, and Configuration Migration Packages to manage release deployments, environment syncs, and configuration comparison reporting
• Author and update technical configuration specification documents compliant with GxP regulations and Computer System Validation (CSV) standards
• Partner with internal Leads, business analysts, and functional stakeholders to refine requirements and translate them into scalable Vault configurations
• Participate in Agile/Scrum ceremonies and manage story-level delivery and tasks via Jira-based backlogs

Veeva Vault Platform Configuration Specialist

Platform Engineer

• Define, document, and drive enterprise-wide adoption of standardized integration patterns, API governance frameworks, and data flow architectures across multiple delivery teams
• Architect and manage robust integrations between core SaaS platforms and enterprise ecosystem layers, including identity management, data pipelines, and downstream business consumers
• Partner with business divisions to understand commercial needs and translate business requirements into pragmatic technical integration designs and accelerated implementation paths
• Interface across a matrixed organizational structure, aligning technical strategies with business priorities and serving as a liaison between business leads and engineering teams
• Establish operational guidelines for API performance, error handling, retry mechanisms, and system resilience across platform data flows

Platform Engineering Lead

Data Engineer

• Lead end-to-end EAM data migration workstreams for global/template roll-outs
• Manage multi-cycle mock loads, rehearsal iterations, reconciliation, and final production cutovers
• Design, build, and oversee data profiling, cleansing, and transformation logic using ETL tools
• Apply EAM process expertise across Asset Lifecycle, Preventive Maintenance, Work Order Management, Scheduling & Dispatch, and Inventory/Parts Management
• Translate business needs into audit-ready migration rules and mapping specifications
• Conduct fit-gap analyses and assess source/target data quality
• Establish data profiling and validation rules to minimize enterprise transition risks
• Serve as the primary liaison among business leads, functional consultants, technical developers, and data governance teams
• Drive integration strategy and bridge business processes with technical execution

Enterprise Asset Management Integration, Data Migration Lead

• Drive complete end-to-end operational ownership of Change and Release Management processes within ServiceNow
• Independently evaluate change risks, determine appropriate approval pathways, and verify Change Records contain required Computer System Validation (CSV) evidence
• Plan, align, and execute complex release schedules across platform configuration, custom integrations, and vendor-driven platform updates
• Lead Change Advisory Board (CAB) meetings
• Represent the platform in high-level, cross-functional governance forums with internal leads and executive stakeholders
• Enforce ITIL best practices across Change, Release, Incident, and Problem management workflows in ServiceNow
• Ensure minimal disruption to production environments

Change and Release Manager

Software Engineer

• Design and develop APIs and integration flows using MuleSoft Anypoint Platform
• Configure connectors and implement integrations with Veeva Vault
• Work with Vault APIs, authentication mechanisms, objects, and metadata
• Implement API-led connectivity, publish/subscribe patterns, and batch and real-time data synchronization
• Build reliable integrations with error handling, retry mechanisms, and idempotency to prevent duplicate processing
• Deploy integration applications using CloudHub or Runtime Fabric (RTF)
• Connect Veeva Vault with other enterprise systems

MuleSoft Integration Developer – Veeva Vault

Architect

• Design and maintain enterprise Power BI solution architecture, including datasets, semantic models, reports, workspaces, security, and deployment standards
• Design scalable and reusable semantic/data models using dimensional modelling and Power BI modelling best practices
• Develop and review advanced DAX calculations, measures, calculation logic, and complex business KPIs
• Design and optimize data ingestion and transformation using Power Query, SQL, and multiple enterprise data sources
• Perform performance analysis, troubleshooting, and optimization of Power BI reports, datasets, DAX queries, refresh processes, and semantic models
• Define Power BI Service standards and best practices for workspace architecture, administration, governance, capacity utilization, and report lifecycle management
• Design and implement security models, including Row-Level Security (RLS), access controls, workspace permissions, and data governance requirements
• Define deployment, release management, and environment strategies across development, testing, and production environments
• Establish development standards around Power BI Project (PBIP), Git-based source control, versioning, branching, and collaborative development
• Support CI/CD and automated deployment practices for Power BI solutions
• Review existing Power BI environments and identify opportunities for standardization, consolidation, scalability, and performance improvements
• Work with business and technical stakeholders to understand analytics requirements and translate them into scalable technical solutions
• Provide architectural guidance, technical reviews, and best-practice recommendations to Power BI developers and analytics teams
• Contribute to the overall BI and analytics strategy, governance framework, and technology roadmap