• Act as the lead liaison between the various business, analytics, and technical teams for the data needs of a project or initiative.
• Lead the elicitation of data requirements gathering for data availability, data use and data consumption across business, analytics, and technical teams for both operational data needs as well as analytical or aggregated data warehouse needs.
• Create or review data requirements documentation, data mappings and design documents to ensure the data needs are accurately represented.
• Document and track data-related project details including both high-level and detailed status, identify issues and propose resolutions, and determine next steps and schedules.
• Follow up with various business, analytics, and technical staff on pending or open items.
• Lead business-level data quality rules and quality assurance testing and coordinate the testing activities across business, analytics, and technical teams.
• Assist with the creation, establishment, and publication of Data Standards and guide to ensure adherence to the Data Standards.
• Participate in Data Governance initiatives including the establishment of Data Classification, Data Stewardship and Data Governance programs and committees.
• Create business table glossaries for existing and new systems in support of common data dictionaries to be published in an information governance catalog.
• Act as lead worker to team members or another group of non-subordinates in assigned tasks.

Skills: Requirements Elicitation, Data Mapping, Project Tracking, Quality Assurance, Standards Development, Governance Participation, Glossary Creation, Team Leadership

• Build and deliver technical solutions to a wide range of business problems
• Accelerate and encourage change in the department culture through yourself and others
• Promote data best practices through the business
• Represent the value the data department drives to the wider business
• Work with all parties to rectify/clarify any anomalies identified promptly.
• Partner with all CRS parties to ensure that the DQ program is robust and reflects current environments to reduce any potential data risks.
• Work with the Partners, team leaders and broader Consulting teams on projects to establish and build trusted relationships with client executives, management and delivery teams
• Help design, build and deliver innovative analytics-backed solutions primarily for large Federal, State and Local Government and Public Sector clients
• Work on projects for wider clients from other industry sectors, work as a team to drive propositions around customer-centricity, productivity, supply chain, workforce, environment, infrastructure and cities
• Use experience in programming languages such as Java and Python to drive advanced analytics projects in areas such as simulation, optimization, and AI/ML
• Use experience and understanding of cloud computing to implement scalable solutions

Skills: Technical Solutions Development, Change Management, Data Best Practices Promotion, Stakeholder Representation, Anomaly Resolution, Data Quality Partnership, Client Relationship Management, Advanced Analytics Implementation

• Recruit, lead and manage a team of Data Analysts of different seniority levels
• Collaborate with business, product and engineering stakeholders to prioritize the most impactful work and ensure the teams' needs are accounted for
• Manage the entire lifecycle of the team's projects
• Translate product questions and hypotheses into analysis and actionable insights
• Lead the design and analysis of product experiments (A/B tests, multivariate tests, etc) that will directly impact the business
• Improve data discovery and literacy - develop and maintain scalable and self-service visualization tools and dashboards, promoting their use across the company
• Serve as a subject matter expert on business data and database structures
• Ensure that the quality of the work delivered by the team is compliant with the highest standards and properly documented
• Ensure that technical documentation is produced to the highest standard
• Think big and contribute to the strategy for better data quality within Glovo
• Collaborate with many Product, Engineering and Business teams to produce relevant data solutions that can be used across multiple use cases

Skills: Team Leadership, Stakeholder Collaboration, Project Lifecycle Management, Data Analysis and Insights, Experiment Design and Analysis, Data Visualization Development, Subject Matter Expertise, Quality Assurance and Documentation

• Responsible for overall ownership of the quality and effectiveness of data analysis within the Digital Health R&D Data Platform. 
• Contribute to the success of the function by being an influential member of the Data Platform leadership team, line management of a team of Data Analysts, and performing hands-on data analysis in support of the biggest, most complex and most exciting opportunities.
• Work with consumers and business users to understand data requirements, translating complex, unstructured needs into clear, creative and pragmatic data designs and solutions that allow us to quickly unlock the value in AZ's data.
• Profile data to understand quality, provenance, ownership, metadata, reference and master data, and compliance to internal and external standards, and communicate this to Architects,
• Data Engineers and Data Scientists for use in analytics projects.
• Wrangle data (sourcing, extraction, profiling, integration) to support Data Science model generation, data solution development and business insight.
• Raise the quality and business impact of data analysis through the development and roll-out of best practices, provision of training and coaching, and understanding external innovations and applications to AZ. 
• Encourage collaboration across Digital Health R&D and AZ, leading community forums supporting capability development.
• Provide leadership, coaching and supervision to more junior Data Analysts - ensuring quality outputs, support in troubleshooting challenges, and development of the required behaviors and soft skills.
• Participates as a member of the AXIS data quality team and drives data quality improvement initiatives for the Future Insurance Platform.

Skills: Data Quality Ownership, Leadership and Team Management, Data Requirements Translation, Data Profiling and Compliance, Data Wrangling, Best Practices Development, Coaching and Training, Data Quality Improvement Initiatives

• Designing and managing the implementation of data science solutions to support partners.
• Selecting the right tools and visualizations to analyze and present various datasets on the back of in-depth stakeholder engagement.
• Implementing statistical and machine learning models to turn raw data into energy domain and business insights.
• Making significant contributions to the interpretation and communication of research and collaborating on drafting presentations and written reports.
• Workly closely with senior management to understand their needs and provide actionable solutions for business
• Design and build commercial reports from customer data
• Analysis of data and create data visualization to provide insights and recommendations
• Monitor and drive the business performance
• Liaise between technical and non-technical resource team members to answer day-to-day business questions either directly or indirectly as supported by the Business Leads and SMEs
• Analyze and tune application performance, supportability, and manageability.

Skills: Data Science Solution Design, Stakeholder Engagement, Statistical and Machine Learning Implementation, Research Interpretation and Communication, Business Needs Analysis, Commercial Reporting, Data Visualization and Insights, Performance Monitoring

• Responsible for the creation and maintenance of a comprehensive data dictionary and data lineage artifacts.
• Responsible for the development efforts associated with Policy/Billing and Claims data integration. 
• Provide application development support for Duck Creek and AQS (Downstream Integration Decisions). Maintain and update documentation and artifacts for all supported systems.
• Responsible for maintaining SOPs for developers and support resources concerning job execution, balancing, and control.
• Provide application support and drive resolution of reported problems to customer satisfaction.
• Collaborate and partner with vendors, creating a blended/unified team between internal development resources and external vendor resources.
• Drives and conducts POCs with the help of developers
• Participates in code review.
• Partners with the development lead and project manager in a project/initiative to structure the work streams and plan for delivery of the solution.
• Engage when needed in maintenance and support activities being performed, as well as routine analysis and evaluation of resource requirements necessary to maintain and/or expand service level.
• Develop and support code management practices and processes

Skills: Data Dictionary Creation, Data Integration Development, Application Development Support, Documentation Maintenance, Problem Resolution, Vendor Collaboration, Code Review Participation, Code Management Practices

• Experience in data and analytics, preferably in a professional services environment
• Working experience in a leadership position
• Strong commercial awareness and sound logical thinking
• Ability to gather business requirements, conduct user acceptance testing, perform business process analysis
• Capability to identify ambiguity and propose necessary specificity to eliminate ambiguity and ensure alignment with the Business Process Lead's intent
• Business orientation and strong analytic ability to derive and translate data designs from business concepts
• Experience in developing, promoting, and rolling out new data functions
• Experience and/or training in Data Analysis, Data Modeling, Dimensional Modeling, and Data Warehouse concepts
• Experience with data modeling tools
• Possess the ability to successfully work on multiple projects simultaneously, in a fast-paced environment

Qualifications: BS in Statistics with 7 years of Experience

• Experience in at least one of the following industry sectors - health, financial services, or government
• Previous experience of working in a professional services or consultancy environment
• Strong leadership, analytical and communication skills with a passion for data-driven decision-making
• Confidence in engaging and influencing senior customers on both business and technical subjects
• Ability to lead and facilitate workshops
• Experience in contributing to bid responses and case studies
• Ability to identify opportunities for insight within business functions
• Experience using and configuring data visualization tools such as Tableau, Power BI, Google Analytics
• Coaching team members with differing levels of technical expertise
• The ability to review and comment on data models

Qualifications: BS in Mathematics with 4 years of Experience

• Good understanding of UK Defined Benefit pensions, calculation of retirement benefits and interaction of GMP within a Defined Benefit pension calculation.
• Strong ability to manage data in Excel and experience of completing analysis work accurately.
• Ability to communicate technical issues with Consultants and colleagues.
• Ability to produce reports, using available templates
• Significant experience in reviewing/checking work completed by colleagues.
• Experience in overseeing staff and providing peer reviews and support, as well as strong stakeholder management
• The ability to identify and suggest process improvements and developments
• Significant experience in a similar role, with a great understanding of data manipulation and management
• Experience working alongside and managing communication with internal and external stakeholders
• Experience in working with complex data sets and undertaking detailed analytical work

Qualifications: BS in Computer Science with 6 years of Experience

• Ability to coordinate and facilitate routines to support delivery (for example, kick-offs, status reviews, stakeholder meetings, change controls, tollgates, and so on).
• Knowledge of data analysis including data mapping, data lineage, report analysis, and interface definitions.
• Ability to work creatively and analytically in a problem-solving environment demonstrating teamwork, innovation, and excellence.
• Sound knowledge of program management and solution delivery.
• Significant experience with SDLC methodologies, Agile, SCRUM, and SAFE.
• Technically competent with various software programs including MS Office, Jira, Confluence, and SharePoint.
• Banking/Capital Markets/Accounting domain knowledge.
• Knowledge and experience with the BofA Change Management process.
• Experience crafting documents/diagrams/roadmaps that showcase the work and architecture of the team and application.
• Knowledge of Data Warehouse and data management principles.

Qualifications: BS in Data Science with 7 years of Experience

• Payments Solutions experience with experience as a team lead and a proven track record of successfully finished projects.
• Understanding of E-commerce principles and reporting needs.
• Familiar and comfortable with large volumes of data and data technology.
• Strong understanding of SQL.
• Ability to work independently, escalate issues and seek guidance as necessary.
• Strong analytical and problem-solving skills.
• Strong written, oral communication and documentation skills.
• High interest in new technologies related to Data/Business Intelligence/Analytics (e.g. SQL, Hive, Hadoop).
• A self-motivated, driven, flexible, quick learning, high achieving, “can do” mentality.
• Track record of successful exploitation of large, complex data sets

Qualifications: BS in Business Analytics with 4 years of Experience

• Good Microsoft SQL and ETL skills (like MSBI stack)
• Working knowledge of Microsoft PowerBI
• Must have strong data analytical skills
• Ability to make business conclusions from data, connect scenarios & provide solutions
• Strong knowledge of Excel – Pivots, PowerPivots, Charts
• Understanding Data Management & BI concepts, Data Analysis, Analytics, Cubes, Reporting Technologies, ETL
• A good working knowledge of stakeholder management - Clients, Partners, Offshore, etc.
• Good to have prior experience in the Microsoft landscape.
• Excellent communication, organisation and influencing
• Enthusiastic, “can-do” approach

Qualifications: BS in Information Technology with 5 years of Experience