Job Summary: 

• Produce and run the analytics that will form the basis of strategic risk management insights, including both descriptive and predictive analytics to inform insights on potential strategic risk exposures for PwC
• Interpret and curate data analysed to support Senior Leadership’s ability to focus on key strategic exposures to the Firm
• Identify new metrics and risk indicators that should be measured for strategic risk management
• Support the preparation of a periodic risk insights report to be distributed to Senior Leadership, bringing insights informed by data analysis
• Drive the production of standard monitoring reports
• Manage the data infrastructure to be used for strategic risk data analytics and reporting
• Manage and optimise processes for sourcing and validating data, as well as visualising
• Co-ordinate with relevant PwC teams to source data, drive data quality enhancements and develop risk insights
• Provide suitable input into strategic and/or risk processes and ad-hoc initiatives on matters such as the Firm’s key strategic exposures
• Provide oversight to a junior data analyst on a day-to-day basis.
• Responsible for ensuring the integration and alignment with other key teams such as IT, data governance support and operational teams.

Skills on Resume: 

• Predictive Analytics (Hard Skills)
• Data Interpretation (Hard Skills)
• Metric Development (Hard Skills)
• Risk Reporting (Hard Skills)
• Data Management (Hard Skills)
• Process Optimization (Hard Skills)
• Team Coordination (Soft Skills)
• Leadership and Oversight (Soft Skills)

Job Summary: 

• Clean-up of existing and historical data sets, implementing new tracking and reporting processes to manage and maintain the integrity of the Store Planning and Macro Space data flow.
• Consolidation of all store planning & space data through a single platform, enabling consistent sourcing, formatting and maintenance of key data sources
• Creation of tools that provide regular analysis and insight into existing business performance and customer behaviour across all formats and channels, highlighting key learnings and supporting project teams with implications for future activity and business strategy
• Continue to review relevance of datasets and regularly engage with key stakeholders to understand and introduce new sources of data where appropriate
• Engage relevant 3rd parties to ensure optimum systems & processes are in place to support the requirements of the team
• Regular engagement with ASDA Technology to ensure optimum data solutions are readily available, with sufficient versions, access and permissions in place
• Production and ongoing maintenance of self-serve dashboards that provide colleagues with access to key data and improve decision making / increase efficiency across the function
• Lead the way in embracing data and new technology, regularly engaging and educating colleagues across the function and wider business on how to access, interpret and develop data, dashboards and reports
• Deliver analytical insight, such as developing customer and value led models to improve profitability, customer service and satisfaction.
• Identify opportunities to innovate across events/data, analytical techniques and tooling. 
• Providing data-driven and accountable insight, highlighting risks, trends and areas of improvement.

Skills on Resume:

• Data Cleaning (Hard Skills)
• Data Consolidation (Hard Skills)
• Analytical Tool Creation (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Third-party Coordination (Soft Skills)
• Dashboard Development (Hard Skills)
• Technology Adoption (Soft Skills)
• Analytical Insight Delivery (Hard Skills)

Job Summary: 

• Developing & owning the data analytics strategy
• Building & managing a smart team of data analysts, with the aim to constantly improve the organization’s capacity to develop insights driven by advanced analytics
• Improving the working frameworks for a best-in-class data analytics / Business Intelligence service function and developing automation solutions where applicable
• Partnering with business stakeholders & functional teams to identify areas where data is missing or is inefficiently used, and recommending / implementing system enhancements
• Leveraging data analytics / Business Intelligence capabilities to improve business performance
• Working closely with the product and engineering teams to develop and deploy solutions to support business needs and ensure decision-making process based on data
• Partnering with other business verticals to share insights and best practices and ensuring consistency of data-driven decision-making across the organization
• Building and maintaining strategic collaborations with external partners
• Driving the creation of a data-driven culture and related competencies throughout the company
• Grow team capability to become an internal service and a centre of excellence through increasing skills and capability requirements.
• Work in partnership with stakeholders to identify opportunities enabling business benefits through process simplification or automation.
• Lead the integration of developments to maximise the benefit realisation from analytics.

Skills on Resume:

• Data Analytics Strategy (Hard Skills)
• Team Management (Soft Skills)
• Framework Improvement (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Business Intelligence (Hard Skills)
• Solution Deployment (Hard Skills)
• Cross-vertical Collaboration (Soft Skills)
• Process Automation (Hard Skills)

Job Summary: 

• Drive the charge in crafting a tool to help improve investments across all marketing mediums and sales channels for the market
• Partner with Global Marketing to contribute to the continuous development of marketing effectiveness tool and marketing efficiency measurement framework by presenting relevant market insights and challenges
• Collaborate with the Global Effectiveness Team, driving the implementation of the Effectiveness Framework, (KPI’s, deep dives) and tool for local markets while providing feedback and improvement ideas to the team
• Be an active contributor to the Marketing Effectiveness Network by sharing insights, analytical approaches and suggesting future improvements as well as identifying standard methodologies from other markets to embrace across the performance unit.
• Ensure data integrity and processes are systematically met for inputs into marketing efficiency models, dashboards, and analytics in line with global standards
• Foster the role of marketing effectiveness within the local market by facilitating and embedding a measurement of effectiveness culture for marketing investments, working with the marketing team to frame the measurement approach by analyzing and evaluating activity efficiency
• Ensure that promotional effectiveness is implemented and is followed by agreed partners, while continuously executing process improvement activities to make sure any data or process issues are mitigated
• Be the single point of contact between local market promo effectiveness team and global groups.
• Support the marketing planning process by ensuring that key takeaways are incorporated in the development of marketing plans
• Work with key partners (sales, marketing and finance) to communicate and ensure understanding of marketing and promo effectiveness evaluations, and implement plans to improve performance and supervise execution
• Report out on a monthly basis on successes and development areas while highlighting key insights to advise further improvement
• Build models to transform customer and consumer behavior, product insights to business insights using predictive learning, forecasting, segmentation and other relevant methods

Skills on Resume: 

• Tool Development (Hard Skills)
• Marketing Analytics (Hard Skills)
• KPI Management (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Data Integrity Assurance (Hard Skills)
• Process Improvement (Hard Skills)
• Communication Skills (Soft Skills)
• Predictive Modeling (Hard Skills)

Job Summary: 

• Lead reporting and management of dashboards and views that offer insight into the region performance, including R&D portfolio, quarterly business review, and financial analysis using Microsoft Power BI to drive business decisions
• Responsible for day-to-day administration of the Program and Portfolio Management (PPM) tool. 
• Provide PPM system expertise to support users in troubleshooting requests and training. 
• Improve approaches and workflows driving productivity and efficiency, while ensuring data integrity
• Maintain running of R&D operations spanning across 3 sites, interface effectively with each site leadership to achieve results
• Support planning and implementation of new strategic initiatives, including deployment of tools, processes, and best practice methodologies to create a standardized, structured framework, enabling optimized and streamlined APAC R&D operations
• Manage coordination and execution of internal events, post-meeting follow-ups and accountability
• Lead project initiatives of varying size, scope, complexity, as directed
• Form and maintain productive and positive working relationship with staff of varying technical and business background across the organization

Skills on Resume: 

• Power BI Proficiency (Hard Skills)
• PPM Administration (Hard Skills)
• System Troubleshooting (Hard Skills)
• Workflow Optimization (Hard Skills)
• Strategic Planning (Soft Skills)
• Event Coordination (Soft Skills)
• Project Leadership (Soft Skills)
• Relationship Management (Soft Skills)

Job Summary: 

• Collaborate with in-country stakeholders to understand business challenges and desired business outcomes, and extract actionable insights to innovate solutions through data-driven quantitative methodologies.
• Define detailed scopes and methodologies, create suitable frameworks, and execute the appropriate data mining techniques across key projects.
• Develop strategies for testing and monitoring analytical model performance in the context of business.
• Oversee deployment and implementation of current and new analytics solutions, and track impact on business outcomes.
• Implement industry best practices in analytics, and actively seek out opportunities for innovation with usage of non-traditional data and application of new modeling techniques.
• Meet end-to-end delivery goals (including timeline and budget) of large and small projects, either individually, as part of a project team, and/or as a mentor to other team members.
• Ensure all project deliverable are of the highest quality, and all project documentation is organized, up-to-date, and error-free.
• Develops processes for reports, creates wiki documentation and provides training on said processes to satisfy reporting requests and/or to automate manual processes for efficiency and accuracy.
• Creates and implements solutions which may include database objects, custom report design (utilizing SSRS for example) and automation of reporting tasks (via a regularly scheduled MSSQL job calling multiple stored procedures for example).
• Leads the development of project plans and may assign and monitor tasks.
• Leads the development and generation of new reports to be provided to senior management across functional departments.

Skills on Resume:

• Data Mining (Hard Skills)
• Model Development (Hard Skills)
• Project Management (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Innovation (Soft Skills)
• Quality Assurance (Hard Skills)
• Documentation Training (Hard Skills)
• Leadership (Soft Skills)

Job Summary: 

• Own the end-to-end analytics of global revenue processes.
• Responsible for data management, dashboard and report creation and CRM optimization.
• Disseminate existing best practices and methodologies across the entire revenue operations organization.
• Analyze sales & revenue performance data & KPIs as well as report against forecasts and plans.
• Collaborate closely with marketing to streamline information exchange and provide them with valuable insights.
• Managing the resources assigned to each project and control WIP
• Manage the day-to-day activities of any assignment (from planning, execution to reporting).
• Performance management (People and Data Analyst Audit Services)
• Contributing to the Departmental objectives
• Aligning work values to departmental objectives
• Developing effective client relationships
• Improving IT and Data analytical skills

Skills on Resume:

• Data Management (Hard Skills)
• Dashboard and Report Creation (Hard Skills)
• CRM Optimization (Hard Skills)
• Data Analysis (Hard Skills)
• Collaboration and Coordination (Soft Skills)
• Resource Management (Soft Skills)
• Client Relationship Management (Soft Skills)
• Performance Management (Soft Skills)

Job Summary: 

• Apply strong understanding of data analytics techniques and libraries to business problems.
• Lead data team to empower data-informed decision making with respect to product, growth and engagement, and other areas relevant to the organization.
• Analyze, evaluate, process, and use data to provide the strategic direction and expertise needed to understand and address key business issues.
• Work together with other units across the organization to identify and refine opportunities for data-driven features.
• Work with internal and external experts to define the regulatory and data requirements critical to the business.
• Liaise with stakeholders across organizations to understand the goals of supporting new and existing data science projects
• Identify opportunities to extract value from datasets to produce innovative solutions and solve focused data analytics problems
• Develop the data strategy for the projects and own the end-to-end execution.
• Work with the Edison AI Leadership, direct managers, innovation office, local sales, research organization and GEHC modalities to develop new project proposals, support and execute the current projects from data annotation and validation standpoint according to the plans.
• Apply experience from strategy consulting, analytics, and data engineering to successfully direct the development of analyses to support the Healthcare business.
• Provide strategic leadership for the design, development, testing and delivery of large-scale data structures and pipelines.

Skills on Resume:

• Data Analytics Techniques (Hard Skills)
• Strategic Leadership (Soft Skills)
• Project Management (Hard Skills)
• Stakeholder Liaison (Soft Skills)
• Data Strategy Development (Hard Skills)
• Team Leadership (Soft Skills)
• Regulatory Compliance Understanding (Hard Skills)
• Cross-functional Collaboration (Soft Skills)

Job Summary: 

• Translate business problems into analytical solutions. 
• Presents recommendations to senior staff and internal clients.
• Plan for the current year in terms of strategy and operations.
• Collaborate and manage key business relationships with business partners to understand strategy, problems, goals and provide data solutions
• Work with senior leaders to identify opportunities to implement analytics solutions to business problems.
• Set priorities and execute strategy for the analytics organization.
• Work closely with the internal stakeholders, and external partners/experts to deliver the right priorities according to the data strategy plan and business priorities.
• Support the projects’ administration, controls the budget, and reports periodically (half year, year) to the leadership and stakeholders.
• Provide recommendations for plans, programs, strategies, policies, and budgets in data annotation, product, and prototype validation.
• Drive data quality throughout the organization.
• Support all data analytics initiatives/project.

Skills on Resume: 

• Analytical Problem Solving (Hard Skills)
• Strategic Planning (Hard Skills)
• Data Quality Management (Hard Skills)
• Budget Management (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Collaborative Leadership (Soft Skills)
• Presentation Skills (Soft Skills)
• Project Management (Hard Skills)

Job Summary: 

• Understand data analysis and modeling techniques.
• Structure data analysis, drive analytics insights and analytical solutions and how the technology fits into the whole life cycle of the data.
• Help organization to leverage on data, working with and through a team of data scientists and engineers to provide valuable direction and insight, for management to make informed decisions.
• Continuously increase Data Coverage by working closely with the Data Scientists, understanding and evaluating data requirements and delivering the data need.
• Hire and retain talent in alignment with the organizational vision and skillset needs, and by partnering with resource manager(s) to optimally staff talent on service, solution, and/or product engagements.
• Retain talents for expert services, solutions, and product development execution.
• Provide coaching, feedback, developmental opportunities to directs and hire new talents.
• Mentor junior and internship team members.
• Lead development of solutions with significant complexity and risk with business area implications.
• Execute directly on data analytic service engagements, solution development, and product development efforts.
• Manage the data annotation and analytics projects.

Skills on Resume: 

• Data Analysis and Modeling (Hard Skills)
• Analytical Problem Solving (Hard Skills)
• Data Management and Strategy (Hard Skills)
• Talent Acquisition and Retention (Soft Skills)
• Leadership and Team Building (Soft Skills)
• Mentoring and Coaching (Soft Skills)
• Project Management (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Lead a team of data and business intelligence analysts focused on developing processes and techniques for driving operational and business insight from the entire span of cybersecurity programs, operations, and projects
• Provide requirements to develop analytic capabilities, platforms, and pipelines.
• Apply statistical or machine learning knowledge to specific business problems and data
• Help steer data strategy with EngSec leadership to retrieve and present critical data in a format that is immediately useful to answer specific questions or improve future research
• Collaborate with product management, security, engineering, and other cross-functional teams to construct a platform to facilitate data sharing flexibly across use cases while adding security & privacy protections
• Proactively seek out opportunities to evangelize a data-driven approach to decision making across the EngSec team globally
• Use knowledge of cybersecurity and privacy to support the production of data in the cyber-defense of businesses and assets
• Improve team efficiency and accuracy by identifying requirements for tooling development, quality assurance, and relevant metrics, drive change 
• Provide enhanced technical support to EngSec Data Analysts responding to complex data requests.
• Communicate the technical knowledge through project management and contributions to product strategy.
• Communicate data analytics, annotation, and validation results to business

Skills on Resume: 

• Data Analytics (Hard Skills)
• Machine Learning (Hard Skills)
• Cybersecurity Knowledge (Hard Skills)
• Project Management (Hard Skills)
• Strategic Communication (Soft Skills)
• Leadership and Team Management (Soft Skills)
• Collaboration and Teamwork (Soft Skills)
• Proactive Problem Solving (Soft Skills)