• Advocate and promote the use of data science to drive fact based activity and behavior in Wholesale Banking.
• Take full ownership of internal data mining/modelling process, understanding and managing a range of analytical and modelling projects from inception to delivery.
• Consult with business users on need for models and make modelling recommendations.
• Develops predictive models, performs data mining and decisions support activities related to business growth or risk mitigation.
• Providing analytical solutions to address business needs of Wholesale Banking using various statistics and techniques in the development of various analysis and Management Information (MI)s.
• Producing insights derived from analysis to measure the key performance of business, study the trend / movement of customers / portfolios and hence identify business risk / opportunity.
• Developing effective and enduring relationships with various stakeholders to understand, recommend and drive delivery against business agenda.
• Working with and liaising with analytical teams across multiple functions to share knowledge and best practice.
• Reports to Head of Data & Analytics who is responsible for the business unit.
• Completes and oversees regularly scheduled reporting of the team (daily, weekly, monthly) for internal and external purposes, as well as ad-hoc reports for internal departments utilizing various DB reporting tools, such as MSSQL, Crystal Reports Enterprise, Oracle SQL Developer, Access, Excel, etc.
• Adapt processes and tools to shorten the data annotation cycles and to scale the data and annotated data with the adoption of innovative techniques.

Skills: Data Science Advocacy, Data Mining Ownership, Business Consulting, Predictive Modeling, Analytical Solution Development, Stakeholder Relationship Management, Cross-functional Collaboration, Process Adaptation

• Collecting, cleaning & preparing client data using data processing tools/concepts (i.e., SQL, ETL)
• Designing & executing data collection solutions for data sources (i.e., DSP, search engine, social)
• Extracting key campaign performance insights from various models (i.e., MMM, MTA)
• Serving as Data/Media Analytics SME, delivering data visualizations & dashboards to leadership
• Develop the data strategy for projects, translating the data and product validation requirement into a plan.
• Facilitate and support the agile methods during project execution.
• Provide directions, mentorship, and guidance to the team to guarantee professional and technical development.
• Lead the adoption of algorithms that can speed up the data annotation process.
• Train team members on how to analyze statistical test results, with R, Python, or comparable mathematical programming languages, and propose appropriate optimizations to achieve revenue/profitability goals
• Research and troubleshoot problems & questions related to deployed analytic solutions
• Maintain knowledge of the latest data technology and best practices

Skills: Data Processing, Data Collection Design, Campaign Analytics, Data Visualization, Data Strategy Development, Agile Project Support, Team Mentorship, Algorithm Adoption

• Groom and lead a team of high performing analysts focused on evolving innovative and elegant solutions for high complexity/high impact problems
• Build relationships by encouraging cooperation between and engagement with varying internal and external stakeholders
• Provide guidance and training, and cultivate growth opportunities for team members within a Performance Coaching environment
• Provide technical supervision and constructive feedback to analytics performed by team
• Deliver key findings to members of the business through frequent presentations and direct engagement that result in actions and improved decision making
• Measure, report and strategize metrics to support Operations, Retail and Omni customer experience, Merchandizing, Store ops, Planning, and Supply Chain growth opportunities
• Provide ad-hoc behavioral analysis utilizing SQL, Power BI, and other analytical toolsets to deliver insights and make recommendations for optimizations
• Support project management and product roadmap by refining agile backlog, determining priorities, estimating work effort and tracking progress against deliverables
• Manage end-to-end optimization processes, including prioritization, requirements gathering, implementation, measurement, and next-step recommendations
• Conceptualize, build, and operationalize data products per business needs and requirement. 
• Lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers

Skills: Team Leadership, Stakeholder Engagement, Performance Coaching, Technical Supervision, Strategic Communication, Metrics Analysis, Behavioral Analysis, Project Management

• Develop and deliver a data analytics strategy implementation plan to drive forward the key focus areas and build Internal Audit's data analytics maturity.
• Act as subject matter expert, building the knowledge, skills and capability of the audit team through development and delivery of a training plan to upskill Internal Audit staff on data analytics methodology, tools and techniques.
• Develop effective customer relationships with senior managers within the data analytics community in HMRC to leverage knowledge and expertise.
• Collaborate with other data analytics specialists across government and the private sector to develop new approaches to data analytics suitable for internal audit.
• Identify, understand, and promote data analytics best practice across the Internal Audit unit.
• Carry out advanced data analytics to support internal audit work.
• Produce reports detailing data analysis results for Internal Audit colleagues and customers.
• Develop dashboards and graphical representations of data analysis for reporting to customers.
• Prepare and support delivery of papers for Audit and Risk Committee, Executive Committee, Control Board, or across HMRC. 
• Leading ad-hoc project work
• Contribute to effective management and leadership of the Internal Audit unit as a member of Leadership Team.

Skills: Data Analytics Strategy Development, Subject Matter Expertise, Training Program Development, Relationship Management, Cross-sector Collaboration, Advanced Data Analytics, Reporting and Visualization, Leadership and Team Management

• Mine and interrogate thousands of data points to generate actionable insights
• Analyze customer behaviors and interactions to develop analysis and dashboards that support evidence-based decision making
• Identify key audience segments and personas to inform and design more personalized customer journeys
• Conduct qualitative and quantitative research to capture pain points and opportunities
• Centralize and analyze customer feedback and develop further measures around touchpoints
• Business Performance Reporting, Visualization, and Regression Management
• Demonstrate the connection between customer satisfaction and business performance, measuring the ROI of CX initiatives
• Identify and unlock opportunities to improve platform capabilities around data modelling, testing platforms, data visualization, and data architecture

Skills: Data Mining, Behavioral Analysis, Audience Segmentation, Qualitative and Quantitative Research, Customer Feedback Analysis, Business Performance Reporting, ROI Analysis, Data Infrastructure Improvement

• Lead projects in data analysis, pricing, inventory management, reporting, and predictive modelling.
• Manage team of pricing, reporting and data analysts.
• Ensure that the analytics team uses consistent, documented and peer reviewed processes and coding.
• Develop techniques to identify, extract, and analyze data to support business decisions.
• Develops optimal process to acquire and integrate data.
• Simultaneously leads projects for various departments with limited supervision.
• Advocate and demonstrate the value of using data in helping to drive business decisions
• Utilizes business knowledge to explain technical activities in business terms.
• Actively seeks opportunities to expand technical knowledge and capabilities of the entire department and advance the organization’s analytical capabilities.
• Develop skills and talents of direct reports through coaching, mentoring and periodic performance reviews.
• Develops and maintains relationships across the enterprise.

Skills: Data Analysis Leadership, Team Management, Process Standardization, Data Extraction Techniques, Project Leadership, Data-Driven Advocacy, Technical Skill Development, Relationship Management

• Execute independent as well as group initiatives and communicate problem formulation, solution, analysis, and insights to wider team members and stakeholders
• Conceptualise Machine Learning framework and architecture to address core marketing challenges such as Channel Behaviour measurement (Including SMS, Push, In-App, Email, Social), User Onboarding, Customer churn, Cross-sell, Upsell
• Conceptualise and develop machine learning models to Support Customer lifecycle Analytics across Rides, Food and Fintech
• Deep dive into data to conduct Business Insights, advanced statistical analysis and incorporate machine learning and optimisation algorithms and simulate impact on the overall system
• Develop and execute necessary analyses or A/B tests to validate Experiments, models, and perform detailed analysis to identify improvement opportunities
• Effectively conceptualise analyses and present across business stakeholders and country marketing teams. 
• Work independently or in a team to solve complex problem statements
• Build, validate, test, and deploy models and algorithms using proven and experimental techniques
• Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them

Skills: Initiative Execution, Machine Learning Architecture, Customer Lifecycle Analytics, Statistical Analysis, A/B Testing, Stakeholder Communication, Complex Problem Solving, Model Deployment

• Utilize a variety of tools (i.e., Tableau, Alteryx, or Excel) to develop financial and operational insights.
• Work across all levels and functions of the business to ensure project recommendations are successfully implemented and tracked.
• Work with the businesses' Information Technology and Business Intelligence to develop tools and dashboards to improve data visibility at all levels within the organization.
• Gather and interpret data to support actionable improvement plans.
• Partner with leaders to structure business problems, scope solution areas, define success criteria and launch initiatives.
• Collaborate with cross-functional leadership to implement solutions.
• Develop (key performance indicators) KPIs and performance dashboards to track project success.
• Lead and grow a team of Analysts to design and execute data-driven decision making
• Set best practices and processes for analysis, model building, experimentation design
• Partner with cross-functional teams to define strategy and vision, and align the team effort and individuals’ goals to reach there
• Create a brand for this high impact team to attract and retain top researchers and scientists

Skills: Data Visualization, Cross-Functional Collaboration, Dashboard Development, Data Interpretation, Strategic Problem-Solving, KPI Development, Team Leadership, Process Optimization

• Partner with Marketing teams to develop various audience segmentation approaches to help drive customer acquisition/reactivation, as well as enhance customer lifetime value. 
• Design, manage, and deliver audience and customer segmentation strategies for A/B tests
• Create scalable, innovative approaches to extracting, managing and analyzing customer data to solve challenging business problems. 
• Responsible for operating daily, weekly, monthly, seasonal, annual reporting to monitor company KPIs plus various loyalty and marketing initiatives
• Improve analytics capability through updating algorithms for predicting customer value, product lifecycle, marketing spend vs revenue forecasting…
• Collaborate with brand-level analytics partners on statistical best practices and oversee the development and maintenance of cross-brand statistical initiatives
• Partner with brand teams, engineering, and digital product teams to perfect digital analytics measurement plans, customer journey mappings, and deliver digital insights and reporting
• Leverage data from site experience tracking tools (i.e. Google Analytics) to collect, analyze, and report on customer journeys, interactions, and touchpoints, as well as website and conversion funnel performance
• Utilize SQL and BI tools to extract and visualize customer data, including demographic information, on-site behavior, marketing engagement, transaction data as well as brand and product preferences
• Acting as a liaison to the IT department, as well as sister brand teams regarding the development and adoption of future projects, such as business intelligence tools and integrating new data
• Serve as coach and mentor to the analysts

Skills: Audience Segmentation, Data Analysis, KPI Monitoring, Algorithm Development, Statistical Collaboration, Digital Analytics, SQL and BI Tool Proficiency, Coaching and Mentoring

• Responsible for defining the team’s roadmap and executing against it in close collaboration with Engineering, Operation, and Product Managers. 
• Own the full Data Science life-cycle from initial conception to prototyping, testing, deploying, scaling and measuring its overall business value.
• Define, build and develop high-performing teams of experienced data scientists and data analysts to deliver world-class products. 
• Coach and continuously drive them to achieve a higher level of excellence.
• Work and deliver end-to-end projects independently including ability to lead teams to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment.
• Build and evolve models in a test and learn fashion within an Agile environment.
• Proactively drive the vision for Data Warehousing and BI across a product vertical and define and execute a plan to achieve that vision. 
• Responsible for Strategic Data Warehouse Initiative. 
• Work closely with all business units to develop long term data platform architecture including plan, budget, and execution.
• Manage the teams that own the complete data pipeline, from data warehouse import all the way through to end-user BI tools. 
• Work with the Integration team to ensure required data is staged via ETL (extract, transform, load) jobs in a way that makes it usable to influence business decisions.

Skills: Roadmap Development, Data Science Lifecycle Management, Team Leadership, Coaching, Agile Methodology, Data Warehousing, Strategic Planning, ETL Process Management

• Industry experience, with back and middle office investment servicing
• Advanced data analysis and technical skills (Excel- e.g., VBA Macros, advanced formulas, user defined functions, etc. MS Access, SQL, Python, Alteryx, etc.)
• Deep and practical knowledge of data modeling, data quality and ETL concepts
• Experience with BI reporting and Data visualization platforms (i.e. Cognos, QlikSense, or similar) or Experience with practical application of AI/ML technologies
• Demonstrated influence and leadership skills, including negotiation and conflict management
• Demonstrated planning, organization, critical thinking and problem solving skills.
• Demonstrated decision-making skills, including delegation, team work
• Ability to learn, adapt, and apply new concepts and technologies
• Experience prioritizing and executing tasks in a dynamic environment
• Strong, effective interpersonal and negotiation skills and ability to communicate effectively with department/group managers and project stakeholders.

Qualifications: BA in Statistics with 5 years of Experience

• Strong interpersonal skills, with an ability to thrive in a multi-cultural team
• Strong in stakeholder engagement, scope and budget management, risks, and issue management
• Skilled in influencing positive outcomes
• Self-initiated with high tolerance for ambiguity and ability to create structure. 
• Ability to work in a team in an agile setting
• Ability to demonstrate leadership, even while handling crisis situations
• Google Cloud Platform appreciated
• Experience in the function, including demonstrated project management

Qualifications: BA in Data Science with 5 years of Experience

• Strong communication skills in English, both verbal and written
• Experience working in a global IT environment
• Ability to handle complex situations and act through transversal skills
• Ability to deal efficiently with escalations and difficult situations/people under pressure
• Working knowledge of data, BI & Analytics technologies (data warehouses, marts, big data, reporting and visualizations)
• Working knowledge of DevOps and related tools
• Strong knowledge of project management methodologies with experience practicing Agile methodologies
• Strong communication skills in English, both verbal and written

Qualifications: BA in Computer Science with 6 years of Experience

• Experience in related digital product development, marketing analyst, or data mining role
• Proven analytics and problem-solving skills
• Strong drive and desire to understand the relationship between organizational components
• Advanced experience with SQL, Python, or Scala
• Knowledge of advanced digital analytics methodologies such as experimentation and testing, competitive analysis, surveys and market research.
• Strong team player with track record of collaboration and experience working as part of an agile team
• Experience with Spark, Scala, Hive, Python
• Good understanding of AWS Big Data services such as Amazon S3, EMR and Glue
• Experienced with Jupyter Notebooks, IntelliJ, Visual Studio Code other notebook environments
• Experience working in Unix/Linux environments
• Experience working as part of an agile team using Github and JIRA
• Experience with digital data collection tools such as Google Analytics
• Knowledgeable in data modeling, data orchestration and data pipeline

Qualifications: BA in Business Analytics with 3 years of Experience

• Experience working in digital marketing or media with recent experience within the entertainment industry
• Experience with Google Cloud Platform, Big Query / SQL, Data Studio, Google Marketing Platform, Facebook Insights & Ads
• Strong critical thinking skills and a natural affinity for numbers
• Able to develop measurement studies, analyse raw data, draw conclusions and provide actionable recommendations across a range of marketing disciplines and data sources
• Experience with Snowflake, Tableau, Looker, Amazon Marketing Platform, and social platforms -- e.g., Facebook/Instagram, Snapchat, Twitter, etc
• Strong communicator (written and oral)
• Project management expertise, ability to drive forward complex initiatives across multiple teams and geographies
• Highly developed interpersonal, team building and relationship management skills. 
• Advanced presentation skills to translate complex information into digestible formats
• Understanding of the data privacy landscape with experience educating teams on new governing policies and processes

Qualifications: BA in Economics with 6 years of Experience

• Proven experience with performing Data Analytics audits
• Hands-on experience with SQL
• Hands-on experience with Python/ R or similar programming language
• Proven experience in successfully delivering IT internal audits to, or within, medium to large multi-national clients with complex IT environments and applications.
• Experience in identifying and assessing complex IT risks and controls, relating them to the wider business environment, and expressing opinions clearly.
• Strong project management skills including being able to manage multiple assignments simultaneously, manage teams effectively, and deliver projects on time and to budget.
• Able to add value to assignments through an analytical approach to work, and adept at challenging existing processes to identify and implement smarter ways of working.
• Able to develop excellent client and internal relationships at all levels of seniority.
• Proficient at creating and delivering captivating presentations to audiences comprising groups of clients, prospects, and/or internal staff.
• Excellent team player yet also able to work on own initiative.
• Proven experience in an IT risk and control/audit environment.
• Experience in business analysis and understanding of core business processes within the Financial Services environment.
• Experience in auditing application controls for a range of business processes within a Financial Services environment.
• Professional services experience (big 4 or similar).

Qualifications: BA in Statistics with 4 years of Experience

• Experience working directly with business stakeholders to translate between data and business needs.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience leading and influencing the BI strategy of team or organization.
• Professional experience with SQL Microsoft Excel, and other business intelligence tools.
• Experience as a business intelligence engineer/analyst, creating reports, using metrics and data to backup business cases, planning, and decisions.
• Experience mentoring and managing other data engineers and BI developers.
• Ability to deal with ambiguity in a fast-paced environment.
• Excellent written and verbal communication involving multiple levels of leadership.

Qualifications: BA in Data Science with 6 years of Experience

• Analytical & statistical skills
• Strong business insight and communication skills
• Knowledge of Programming languages – Python, SQL
• Knowledge of analytical tools – R, SAS, Hadoop (good to have)
• Knowledge of Business Intelligence tools – Oracle BI, Tableau, Microsoft Power BI etc
• Strong Data modelling, Machine Learning, and AI experience 
• Strong Data Intuition
• Experience in leading other team members in a formal or informal capacity.
• Experience initiating and driving projects to completion in a timely manner with minimal guidance.
• Proficient business acumen with effective communication, presentation skills and ability to collaborate with senior leadership.
• Capability to operate and perform in a sophisticated environment.
• Customer centric and the ability to assess a situation from different perspectives.
• Proactive individual with a great eye for detail to ensure high-quality outcomes.
• Extract knowledge and insights from many structured and unstructured data.

Qualifications: BA in Computer Science with 3 years of Experience

• Experience in analysis, reporting and data visualization
• Experience with modern visualization tool (ex. Power BI, Tableau, MicroStrategy 10, Domo)
• Experience leveraging tools for basic last mile ETL and data wrangling tools such as Alteryx, WebFocus Data Migrator, Talend, Informatica, SSIS, or other
• Strong knowledge of data quality principles and best practices
• Extensive experience with standard relational databases (SQL Server, Teradata, DB2, Postgres)
• Working knowledge of Hadoop (HDFS) with ability to query Hive, exposure to Druid 
• Experience in financial services with knowledge of products, customers, transaction and interaction data.
• Experience with programming languages such as SQL, R, Python

Qualifications: BA in Business Analytics with 6 years of Experience

• Experience in working in and/or leading an Agile team
• Experience as a manager of analysts, engineers, or developers
• Knowledge of agile scrum ceremonies and methods required, experience as a scrum master or agile product owner 
• Demonstrated project management and organization skills
• Demonstrated ability to dive into technical roadblocks
• Demonstrated ability to influence change across an organization
• Excellent communication skills, both verbal and written
• Experience in data management and business intelligence in the financial services industry

Qualifications: BA in Economics with 10 years of Experience