Job Summary: 

• Reporting directly to the Head of Data Science
• Leading teams to deliver analytic roadmaps and implementing best practices in standards and processes.
• Working closely with the Head of Data Science and the Engineering function, who are forward-thinking individuals
• Mentoring and leading a team of Analysts
• Identifying weaknesses in the current architecture and design improvements
• Working with the Head of Data Science to maintain and improve the architecture of in-house platforms
• Identifying and resolving data and reporting issues
• Improving the efficiency and reliability of data systems and processes
• Communicating with the leadership team across the business to understand data needs
• Defining and managing SLA for all data sets in allocated areas of ownership

Skills on Resume: 

• Leadership (Soft Skills)
• Team Management (Soft Skills)
• Roadmap Development (Hard Skills)
• Architecture Improvement (Hard Skills)
• Mentorship (Soft Skills)
• System Optimization (Hard Skills)
• Stakeholder Communication (Soft Skills)
• SLA Management (Hard Skills)

Job Summary: 

• Be a strategic partner to the business and support the stories and solutions that improve business decision-making
• Lead a team responsible for connecting the dots between data and impact that will drive growth through a compelling story supported by analytics
• Translate data in a way that helps drive predictability and velocity for new and current clients
• Work closely with Product, Customer Success, R&D, and the Executive Team to identify and establish BI needs
• Perform deep analysis of core features and customer data
• Build data-based tools and models for continuous product performance monitoring and optimization
• Work directly with customers, deeply understand their KPI, and ensure the company is supporting their data and reporting needs
• Define the requirements required from Data Engineering and oversee the implementation of BI solutions
• Develop insights-based presentations from analytics and present internally, and support external stakeholders
• Create forecasts and actionable recommendations for business decisions

Skills on Resume: 

• Strategic Partnership (Soft Skills)
• Team Leadership (Soft Skills)
• Data Translation (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Customer Analysis (Hard Skills)
• Tool Development (Hard Skills)
• KPI Management (Hard Skills)
• Insight Presentation (Soft Skills)

Job Summary: 

• Own development and delivery of the country and Amazon data strategy in close collaboration with Digital Technology.
• Establish a Data foundation and technology partners required to deliver against the Data Strategy
• Accelerate transformation from descriptive to predictive analytics.
• Proactively develop use cases for advanced analytics to provide value and guide eCommerce and digital strategies.
• Advance data democratization via dashboard developments, and build data solutions to expedite decision-making
• Collaborate closely with LEGO stakeholders to be a trusted analytics partner and subject matter expert who leads the data-insight journey and analytics capabilities
• Provide regular and timely performance reporting and analysis to a wide range of stakeholders
• Conduct deep dives and incremental analysis into performance to generate actionable insights (i.e., Prime Day, Black Friday)
• Create and implement KPIs and metrics for performance evaluation
• Manage and develop a high-performing and motivated team of 3 Data Analysts and Data Scientists, both locally and remotely
• Keep up-to-date with the latest trends, techniques, and methodologies, and drive innovation with the team

Skills on Resume: 

• Data Strategy (Hard Skills)
• Technology Collaboration (Soft Skills)
• Predictive Analytics (Hard Skills)
• Advanced Analytics (Hard Skills)
• Data Democratization (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Performance Reporting (Hard Skills)
• Team Management (Soft Skills)

Job Summary: 

• Leading a team of Data Scientists and Analysts
• Delivering personalisation and marketing automation programmes.
• Supporting clients on their data journey.
• Developing dashboards to add to optimisation services.
• Delving into attribution modelling.
• Using SQL and R to deliver actionable insights across a variety of commercial functions across the business in an autonomous fashion
• Calculating churn rates, MMM modelling, segmentations, and A/B testing using statistical methods
• Engaging with the product and business to gain an excellent understanding of the customer
• Working on an ad hoc basis whilst regularly communicating insights cross-functionally
• Proactively providing insights to measure performance, make subsequent recommendations, and support marketing performance improvement across the range of brand activation, advertising, and lead generation activities.
• Reviewing and developing the tools and tech stack used by the Marketing and Data Analytics teams to produce insights that further improve Marketing performance.
• Managing and optimising a team of Marketing Data Analysts.

Skills on Resume: 

• Team Leadership (Soft Skills)
• Personalisation Programmes (Hard Skills)
• Client Support (Soft Skills)
• Dashboard Development (Hard Skills)
• Attribution Modelling (Hard Skills)
• Statistical Analysis (Hard Skills)
• Customer Understanding (Soft Skills)
• Cross-functional Communication (Soft Skills)

Job Summary: 

• Understand business requirements and other department needs and objectives
• Build an analytics department by hiring and managing a cross-functional team of experts
• Develop strategies and prioritize the use of data analytics and reporting
• Define company-wide metrics and relevant data sources
• Select, configure, and implement analytics solutions
• Develop strategies for effective data analysis and reporting
• Extract reports from multiple sources (e.g., operations, IT, customer feedback)
• Build systems to transform raw data into actionable business insights
• Apply game industry knowledge to constantly monitor the live operation of the game and improve the performance of the product and service with the delivery of data-informed suggestions and actions
• Design conceptual and logical data models and flowcharts
• Analyze structural requirements for new software and applications
• Define security and backup procedures

Skills on Resume: 

• Business Requirements (Soft Skills)
• Team Building (Soft Skills)
• Data Strategy (Hard Skills)
• Metric Definition (Hard Skills)
• Analytics Solutions (Hard Skills)
• Data Extraction (Hard Skills)
• Business Insights (Hard Skills)
• Data Modeling (Hard Skills)

Job Summary: 

• Help the product achieve a strong product-market fit through data-driven decisions.
• Drive a deep understanding of product usage across users, cohorts, personas, etc., and carry out context-appropriate Modeling, Analysis, and Reporting.
• Leverage data to help the Business and Product get deep, critical insights around further expansion, User Acquisition/Retention/Churn, Product Strategy, UX Design Strategy, and any other Business & Product goals.
• Work with the engineering team to identify, implement, and improve the data collection systems, ETL pipelines, and define Standards for Data Quality.
• Partner with the Product team to assess business impact and customer outcomes for planned product features to enable data-driven product roadmap decisions.
• Drive A/B tests as well as help in the identification of key metrics that measure and drive the long-term health of the Product.
• Lead, manage, and grow a high-performing team of Analysts by setting departmental vision and culture.
• Work with the marketing team to optimise campaigns - acquisition and retention
• Work with the product team on how to improve the product and customer experience
• Make sure content consumption is fully understood and feed that back to the relevant teams
• Work closely with other senior stakeholders on the overall business strategy
• Find opportunities to create self-serve, automated tools for business stakeholders.

Skills on Resume: 

• Data-Driven Decisions (Hard Skills)
• Product Analysis (Hard Skills)
• Business Insights (Hard Skills)
• Data Collection Systems (Hard Skills)
• Product Impact Assessment (Soft Skills)
• A/B Testing (Hard Skills)
• Team Leadership (Soft Skills)
• Marketing Optimization (Hard Skills)

Job Summary: 

• Identify, develop, manage, and execute analysis to lead the team, and uncover secondary, tertiary answers to the complex business problems
• Present written business recommendations that will shape the Amazon WWDE business and the features we offer to customers.
• Develop cohort analyses, segmentation, trend, and correlation analyses across multiple programs, and identify high-value analyses that could help in driving better insights.
• Interface with senior business leaders, gathering requirements, and defining project road maps
• Convert analysis into digestible business intelligence and actionable information
• Present written recommendations and insights to stakeholders that will help shape effective strategies.
• Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use
• Imagine and develop new ways to present data that add value and insight.
• Collaborate with the Data Science team to create and leverage predictive models that implement the team’s insights at scale
• Partner closely with Tech/Product, forecasting, and Data engineering teams to identify opportunities, and define and help prioritize business requirements to improve understanding of Customer behavior and engagement
• Support Program/Product Managers and their cross-functional project teams on the day-to-day execution of analytics, projects, and initiatives.
• Lead and grow the Business Intelligence function for the category, as well as support initiatives designed to ensure the reliability of the existing data.

Skills on Resume: 

• Analysis Execution (Hard Skills)
• Business Recommendations (Soft Skills)
• Cohort Analysis (Hard Skills)
• Stakeholder Interface (Soft Skills)
• Actionable Insights (Hard Skills)
• Data Presentation (Hard Skills)
• Predictive Modeling (Hard Skills)
• Cross-functional Collaboration (Soft Skills)

Job Summary: 

• Be a key member of the Senior Leadership Team, leading and managing global teams across both BI and Insight Analytics.
• Drive and shape the strategy through the use of data and analytic services.
• Accountable for ensuring that we generate the next wave of data innovation and securing and enabling best-in-class talent, and demonstrating best practice approaches.
• Support, challenge, and continually evolve data strategy whilst defining the analytics practice that will support the business to meet its strategic priorities over the next 3-5 years.
• Develop and build strategic relationships with external parties (software vendors, research companies, industry bodies, and strategic partners) to ensure the definition and delivery of analytics is future-proofed and in line with industry best practice
• Provide recommendations on what is or isn't effective, making sure that the customer and data are central to decisions being made for customers.
• Encourage the whole business to be customer-focused and data-led to drive cultural change.
• Set up a culture of knowledge sharing across IAGL and with airline partner colleagues
• Act as the internal focal point and external figurehead for the Data Team to build IAGL's reputation and awareness, representing the IAGL brand across many forums
• Leverage IAGL's extensive data expertise to challenge and influence internal and external stakeholders, driving innovation both internally and externally, positioning IAGL as the clear data specialists for innovative and customer-focused organisations
• Effectively drive cross-functional collaboration to ensure success in delivering the data strategy, working closely across a range of departments, including marketing, commercial, technology, finance, as well as senior management within the IAG Group's airlines
• Work closely with the Chief Data Officer to drive efficient and optimal effectiveness across the data department, agreeing on budgets, targets, and strategic data priorities

Skills on Resume: 

• Team Leadership (Soft Skills)
• Data Strategy (Hard Skills)
• Innovation Leadership (Soft Skills)
• Strategic Relationships (Soft Skills)
• Customer Focus (Soft Skills)
• Knowledge Sharing (Soft Skills)
• Cross-functional Collaboration (Soft Skills)
• Data Advocacy (Soft Skills)

Job Summary: 

• Managing a data analyst and overseeing all their activities to ensure the successful execution of their tasks
• Performing detailed analysis on data from across the business, communicating insights (in written form or via presentation), and making recommendations
• Building automated dashboards and reports (e.g., using Microsoft Power BI and Google Data Studio) using data from multiple sources.
• Refining, updating, and distributing existing reports, ensuring these reports remain accurate and fit-for-purpose as the business evolves
• Advising on and coordinating the production of dashboards and reports produced by other teams and which relate to the company, to ensure consistency and alignment with the business strategy.
• Pro-actively driving consistency of data/metric definitions across the company and Covéa to ensure alignment between different reports across the two businesses
• Pro-actively identifying data issues and anomalies, raising these with BI and Data Engineering teams, and driving their resolution to ensure accuracy of reports and analyses
• Creating spreadsheet models that estimate the impact of new initiatives or quantify the magnitude of issues/opportunities
• Building and maintaining strong working relationships with key stakeholders across Vitality and Covéa
• Project managing key analytics and reporting-related workstreams.
• Providing ad hoc analytical support to the Managing Director of the Company

Skills on Resume: 

• Team Management (Soft Skills)
• Data Analysis (Hard Skills)
• Dashboard Building (Hard Skills)
• Report Refinement (Hard Skills)
• Coordination (Soft Skills)
• Data Consistency (Hard Skills)
• Data Issue Resolution (Hard Skills)
• Project Management (Soft Skills)

Job Summary: 

• Lead the department consisting of several sub-teams that provide analytics support for different parts of the Digital Experience organisation.
• Lead the Team Leads and effectively shape the work of 20+ Product Analysts in the department
• Represent the department at high-level discussions with cross-functional leaders (i.e, Product, Design, Engineering, and Applied Science) and contribute to strategic decisions
• Define ways of working and processes to help Product Analysts in the department deliver at their best
• Scope initiatives for the team based on high-level objectives, as well as refining the external requirements coming to the department
• Shape how analytics contributes to product development at the company
• Provide critical thinking and problem-solving capability to drive the analytics agenda to support and drive strategic business decisions.
• Initially, driving the analysis until a team can be created.
• Provide support for the team in terms of technical capability development across statistics, machine learning, and analytics methodologies.
• Communicate effectively with Senior Stakeholders and propose new analytical capabilities to support the business.
• Proactively puts together context from experience and conversations with stakeholders to intentionally understand the purpose and value of their work.
• Manage the analytical/insight backlog, such that it remains prioritised and relevant.

Skills on Resume: 

• Team Leadership (Soft Skills)
• Strategic Decision Making (Soft Skills)
• Process Definition (Hard Skills)
• Analytics Contribution (Hard Skills)
• Critical Thinking (Soft Skills)
• Technical Capability Development (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Backlog Management (Hard Skills)

Job Summary: 

• Lead a team that creates analysis to provide insights that help stakeholders understand performance marketing, user behaviours, and customer quality.
• Build and lead a team of marketing analysts
• Define and apply appropriate marketing metrics, measurement methods, and experimentation processes to power data-driven marketing programs
• Influence senior executive thinking and decision-making through credibly representing both the Marketing and the Analytics points of view
• Collaborate with Analytics and Data Engineers
• Provide insights on researchers' and participants' behaviour to drive improvements in customer experience, growth, and retention
• Optimise conversion funnels through analysis and experimentation of growth channels
• Influence product roadmap prioritisation with insights gathered from exploratory analysis
• Act as an authority on analytics at Respondent, advising other teams on how they can leverage data to their advantage
• Build and maintain data pipelines and tools to allow the business to self-serve where possible
• Own business performance reporting and dashboards, creating intuitive visualisations, and automating
• Conduct ad hoc requests for analysis, such as input into board papers.

Skills on Resume: 

• Team Leadership (Soft Skills)
• Marketing Metrics (Hard Skills)
• Executive Influence (Soft Skills)
• Collaboration (Soft Skills)
• Customer Insights (Hard Skills)
• Conversion Optimization (Hard Skills)
• Product Roadmap Influence (Soft Skills)
• Data Pipeline Management (Hard Skills)

Job Summary: 

• Architect scalable business intelligence solutions and processes
• Create robust data marts where stakeholders can easily generate insights
• Own, operate, and manage cross-functional needs related to data and dashboards
• Become the go-to person if Stakeholders have any questions or issues with data or dashboards
• Diagnose issues in real-time and guide with metrics and visualizations
• Partner with business leaders to provide cross-functional strategic and tactical support
• Run ad-hoc analyses to help drive projects and key business initiatives forward
• Document data definitions, key metrics, and sample reports, ensuring alignment and consistency in reporting across the company
• Work in collaboration with the Product Data and Innovation team to develop new analysis directions and opportunities to work together to deliver better outcomes for Prospection and customers.
• Develop strong cross-functional relationships and matrix capability that create cohesion across the organisation.
• Be a consistent and thoughtful teacher for those in the organisation who do not come from an analytics background
• Use experience to break down analytics issues into relevant information for organisational learning.

Skills on Resume: 

• BI Architecture (Hard Skills)
• Data Mart Creation (Hard Skills)
• Cross-functional Management (Soft Skills)
• Real-time Diagnostics (Hard Skills)
• Strategic Support (Soft Skills)
• Ad-hoc Analysis (Hard Skills)
• Data Documentation (Hard Skills)
• Organizational Teaching (Soft Skills)

Job Summary: 

• Set the vision and direction of the analytics service proposition in Prospection.
• Engage with customers to understand their challenges to develop new service propositions, led by analytics.
• Empower the team to collaborate with Customer Success to leverage analysis outputs within the existing customer base and acquire new customers.
• Collaborate with the broader organisation to oversee the delivery of a range of analytics projects focused on generating strategic and tactical insights for clients.
• Champion techniques to improve service offerings across regions, countries, and clients.
• Consider the design and validation of methodologies, analysis, and outputs as they relate to ad hoc projects and scalable products, within and across therapeutic areas.
• Ensure the analytics team has strong cross-functional processes that underpin their work and grow with the business.
• Identify process and capability areas for improvement that drive quality and reduce delivery costs.
• Ensure appropriate competency structures, talent management, and succession planning for the analytics function.
• Build T-shaped capability within the team, including a balance between professional services and product development.
• Create out-of-product offerings to test and then potentially turn into products.
• Support the team to work alongside the product squads and designers to ensure that they have ready access to practical analysis advice, including considering how to productise and drive the execution of the product vision.

Skills on Resume: 

• Analytics Vision (Soft Skills)
• Customer Engagement (Soft Skills)
• Team Empowerment (Soft Skills)
• Cross-functional Collaboration (Soft Skills)
• Process Improvement (Hard Skills)
• Talent Management (Soft Skills)
• Product Development (Hard Skills)
• Execution Support (Soft Skills)

Job Summary: 

• Programme management of engagements, leading client interaction, and stakeholder management
• Manage and mentor junior analytics colleagues
• Lead the provision of services relating to Financial Crime (Sanctions, anti-money laundering, transactions monitoring) and Fraud, etc
• Often utilise the team's advanced data analytics capabilities through the use of software such as SQL, Tableau, Power BI, Alteryx, Python, SAS, and VBA to deliver meaningful insights to clients, helping them to understand their business risks and key drivers
• Develop and deliver innovative analytics tools to support evolving regulatory requirements, e.g., FS regulations
• Contribute to the team’s thought leadership and strategy in analytics
• Build and develop long-term relationships with stakeholders across client organisations.
• Ensure the teams are delivering correct, accurate, and meaningful analysis on an ongoing basis.
• Build out and lead a team within the Data function
• Build out the Tech stack and design the infrastructure
• Proactively bring the experience of external analytics experts and client conversations into the business by reflecting on key learnings and communicating them to Delivery, Product, CS, and Engineering.

Skills on Resume: 

• Programme Management (Soft Skills)
• Team Mentorship (Soft Skills)
• Financial Crime Expertise (Hard Skills)
• Advanced Analytics (Hard Skills)
• Regulatory Tools (Hard Skills)
• Thought Leadership (Soft Skills)
• Client Relationship (Soft Skills)
• Tech Stack Development (Hard Skills)

Job Summary: 

• Provide daily, weekly, and monthly analysis and reporting of KPIs across the brands and properties
• Own these main analytical areas, such as Bonus Analysis, Promotional Analysis, Media Mix Modeling, Churn and retention rates at all customer levels and stages, Customer segments and life cycle, etc, and other business-wide trends behind the big KPIs
• Actively mentor analytics managers and their team members to consistently improve analytical capabilities, reporting, and business insights and actions to be recommended to the business
• Drive constant review and analysis to proactively identify revenue and growth opportunities for the entire function, aiming to improve through insight and intelligence.
• Constantly refine the quality of current reporting, and work collaboratively with the central BI team to deliver improvements and ensure that all KPI reporting is focused and relevant.
• Tell the story behind numbers and derive actionable insights.
• Build business cases and ROI analysis on projects, product developments, or questions related to the business.
• Monitor business-wide trends behind the big KPIs, alerting on trends that could become issues.
• Analyze costs related to the customer lifecycle, such as bonus, product, cashier, and marketing spend
• Consistently monitor key competitors and prepare top-quality analysis to demonstrate their strengths and weaknesses
• Maintain strong market awareness to fully capture market potential and future opportunities.

Skills on Resume: 

• KPI Reporting (Hard Skills)
• Analytical Ownership (Hard Skills)
• Team Mentorship (Soft Skills)
• Revenue Opportunities (Hard Skills)
• Reporting Improvement (Hard Skills)
• Insight Derivation (Hard Skills)
• Business Case Development (Hard Skills)
• Market Awareness (Soft Skills)

Job Summary: 

• Ensure world-class standards are consistently leveraged in line with Global best practices
• Enable efficient business intelligence reporting to provide rapid understanding and diagnosis of in-market and competitor performance
• Deliver advanced data-driven consumer and marketplace knowledge to identify and shape winning commercial strategies and activation excellence
• Hold direct interactions with the UK&I and Global executive team and able to support decision-making at these levels through actionable analysis and forecasting. 
• Take a short-term and longer-term view of the competitive landscape to drive business decision-making
• In partnership with the category Insights heads, deliver quantified ROI measures across all sales and marketing investment drivers through working with econometric market mix modellers across current agencies and new specialist agencies.
• Deliver a suite of targeted reports that concisely and accurately inform the business on market performance and developments. 
• Constant optimization of reporting and data dissemination tools to ensure best practice data visualization.
• Manage the large annual spend on continuous Market Research information (c£2m pa) from the supplier through to the end-user, ensuring that research agencies are aware of, and working towards the UK’s strategic goals.
• Ensure the best practice continuous research provision, from current agencies and assessment of new providers.
• Develop a virtual team across all external agencies, ensure understanding of business objectives and key issues, encourage co-operation across agencies, and develop best practices.
• Create an internal training plan to ensure the UK team has the right access and the right skills to be self-sufficient in data access and analysis

Skills on Resume: 

• Global Standards (Soft Skills)
• BI Reporting (Hard Skills)
• Consumer Insights (Hard Skills)
• Executive Support (Soft Skills)
• Competitive Analysis (Hard Skills)
• ROI Measurement (Hard Skills)
• Data Optimization (Hard Skills)
• Training Development (Soft Skills)