• 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 based on 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.
• Work closely with senior management to understand their needs and provide actionable solutions for the 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 the 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

• Provides analysis on datasets of high complexity to identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data and communicates results of analysis to senior audit management, analytics lead and business partners
• Trains and supports audit teams in the analysis of captured data as well as technical training to more junior analysts in the DA team and auditors across all levels
• Acts as a Consultant by owning and delivering the analytical project planning for 1 - 2 audits at a time, performing analysis and guiding more junior analysts so that the project is completed successfully and on time
• Identifies and works towards acquiring access to data that supports audit and automation initiatives
• Works with Auditors to identify opportunities for automation and provides analyses to support the initiatives 
• Automates control testing, works on projects that deliver Continuous Auditing and Monitoring
• Actively contributes to cross-functional audit projects to develop analytics-enabled solutions on data appropriateness for quality and accuracy, data validation, consolidation and cleansing processes
• Works on problems of high complexity, following standard practices and data analytics procedures to evaluate controls and business objectives
• Develops and maintains a strong internal network at all levels of the organization, relationships with other Analytics counterparts within the organization
• Speaker and active participant at external events and conferences
• Contributes to the development of Audit Services DA policies, strategy and direction
• Continually improve audit and supporting processes, leveraging technology to the fullest

Skills: Advanced Analytics, Audit Automation, Anomaly Detection, Data Validation, Control Testing, Project Leadership, Stakeholder Engagement, Technical Mentorship

• Supporting and training users across the organisation, setting the standards and encouraging its adoption
• Consulting with teams across the organisation to help define the measurement approach for their KPIs/OKRs
• Work collaboratively with the eCommerce team to identify trends and opportunities, help them prioritise projects and improve processes
• Producing kick-ass dashboards and reports
• Collaborate with an awesome Data Engineer and a Data Scientist to ensure a complete set of high-quality, robust data points
• Identifying and defining requirements for any gaps in the dataset
• Help manage and prioritise projects and play an instrumental role in defining workflow and ways of working
• Develops and maintains R&C metrics and analytics reporting
• Work on a mechanism to fully automate reporting and eliminate manual steps in report creation
• Coordinate the system and report implementations and changes with IT business partners
• Assists in the administration of all R&C monitoring systems, including change control, parameter settings, testing and data validation
• Assists in system testing and data validation, ensuring complete records and work papers are maintained to document the rationale for parameter settings, the validity of the data sets, and change control documentation
• Partner with data governance teams to identify, track and remediate data quality and data integrity issues
• Support regulatory and audit reviews 

Skills: User Enablement, KPI Measurement, Ecommerce Analytics, Dashboard Reporting, Data Collaboration, Reporting Automation, Data Governance, Data Validation

• Provide business insights by understanding data/metrics generated out of the Enterprise BI Environment
• Understand business processes and evaluate BI impact and help in designing BI Solution as part of Transformational initiatives
• Staying up-to-date on the latest processes and IT advancements to automate and modernize systems
• Conducting meetings and presentations to share ideas and findings
• Documenting and effectively communicating insights and plans to cross-functional team members and management
• Gathering critical information from meetings with various stakeholders and producing useful reports
• Working closely with business stakeholders, technologists, and managerial staff
• Ensuring solutions meet business needs and requirements
• Performing solution testing and preliminary user acceptance testing
• Serving as a liaison between stakeholders and users
• Managing competing resources and priorities
• Monitoring deliverables and ensuring the timely completion of projects

Skills: Business Intelligence, Process Analysis, BI Solutions, Stakeholder Liaison, Requirements Gathering, Solution Testing, Presentation, Project Coordination

• Leading business-critical analytical projects that involve analysing complex datasets to produce insights and models that drive strategic decisions
• Lead and manage a small team and ensure each individual’s success and development
• Collaborate with key business partners to identify key questions and manage expectations
• Work closely with the team and business partners to scope, design, develop, and implement a variety of analytical projects
• Lead and execute comprehensive analyses to drive strategic decisions
• Find innovative ways to understand and act on business questions
• Quantify and challenge hypotheses and assumptions, and champion test and learn
• Understand and report on drivers of business performance
• Ensure robust statistical and data methods are used to build analyses across the team
• Improve efficiencies and automate analysis to ensure focus is on new value-added analysis
• Challenge team and business partners in meetings to encourage healthy debate and stimulating discussions
• Continuously learn and raise the bar for quality and rigour of work across the team

Skills: Strategic Analytics, Team Leadership, Stakeholder Management, Advanced Modeling, Hypothesis Testing, Performance Analysis, Process Automation, Analytical Rigor

• Engage business leaders/staff and technology leaders/staff in an end-to-end process to understand and communicate data requirements and translate them to develop solutions
• Apply problem-solving techniques to determine impact, root cause analysis, and solution options
• Test solutions to verify traceability to requirements
• Understand key business and technical decisions throughout the lifecycle of data
• Own the evolution and champion adoption of key data governance capabilities including data cataloging, metadata management, lineage, data quality and master data management
• Engage and support Data Owners and Data Stewards
• Understand data requirements and translate to conceptual and Logical Data Models (LDM)
• Facilitate development and consensus on data standards and rules

Skills: Data Requirements, Root Cause Analysis, Solution Testing, Data Governance, Metadata Management, Data Modeling, Data Standards, Stakeholder Engagement

• Translate LDM constructs to publish in data catalogs, and to Data Architects/Modelers, Data Engineers, BI Developers and Data Scientists
• Analyze needs to develop a “golden source” of high-quality master data
• Develop data cleansing, match/merge and survivorship rules, and operational metrics
• Gain insights from metrics to evolve MDM/RDM capabilities
• Use automated tools to profile data sources to measure current state data quality
• Develop data quality rules and metrics
• Track and analyze data defects and determine root causes
• Analyze select data sources (databases, file shares, etc.) using automated scanning technologies
• Analyze and identify potential gaps in data security with a focus on highly sensitive data (e.g., Personal Identifying Information)

Skills: Master Data, Data Cataloging, Data Cleansing, Data Quality, Root Cause Analysis, Automated Profiling, Data Security, Metadata Management

• Act as liaison between D&A team and Europe and Global Segment (EGS) business function use case owners
• Modelling data, Tableau development, identifying and developing solutions to democratise the data
• Provides advanced professional input to complex Infrastructure assignments/projects
• Assists in the development of logical database designs, data models and relational database definitions across multiple computing environments (e.g., host-based, distributed systems, client-server)
• Assists in the identification and analysis of information flows and interfaces between corporate business processes and in transforming the information into logical databases and relational database definitions
• Participates in the analysis and resolution of issues related to information flow and content with clients and IT management and staff
• Assists in data modelling studies and the development of detailed data models through consultation with clients and staff
• Works autonomously, only requiring “expert” level technical support from others
• Exercises judgment in the evaluation, selection, and adaptation of both standard and complex techniques and procedures
• Utilizes in-depth professional knowledge and acumen to develop models and procedures, and monitor trends, within Data Modelling

Skills: Data Modeling, Tableau Development, Data Democratization, Database Design, Information Flow, Stakeholder Liaison, Technical Judgment, Autonomous Delivery

• Build key reports and dashboards for DTC sales, acquisition, digital product, merchandising and retention
• Conduct weekly, monthly and quarterly analysis of business performance trends
• Collaborate with the Growth team to define A/B experiments to run to optimize performance and support with analysis and insights
• Support demand planning for existing products and new products to launch
• Conduct deep dive analyses to inform key business decisions
• Model the business impact of various initiatives to determine the best prioritization for the business
• Help support the maintenance of documentation on the data model and business metrics
• Support the team with ad hoc data analysis on specific projects

Skills: Dashboard Reporting, Business Performance Analysis, A/B Testing, Demand Planning, Deep Dive Analysis, Impact Modeling, Data Documentation, Ad Hoc Analysis

• Design, develop and deploy Enterprise BI solutions leveraging existing data architecture and data optimization approaches using Power BI
• Design and write SQL extracts and direct queries using Snowflake, DBeaver and Power Query editor
• Provide guidance and lead Jr. Developers to facilitate report building and better data practices
• Work alongside Data Architects, Engineers and owners of the ETL and data onboarding processes to validate and enhance existing data domains
• Work with GTM leaders to develop roadmaps that empower customer-facing teams to deliver results
• Independently scope and drive key projects that anticipate the needs of executive leadership
• Design and instrument New Relic’s key performance metrics to deliver on projects based on the GTM strategy
• Define data model requirements that are scalable and focus on immediate business outcomes and results
• Partner with Data Engineering in supporting ELT and DBT Modeling to support the delivery of sales and customer metrics
• Lead agile delivery of analysis and BI scope that’s clearly defined, tracked, implemented, monitored and communicated

Skills: Enterprise BI, SQL Development, Power BI, Data Modeling, GTM Analytics, Agile Delivery, Stakeholder Partnership, Team Leadership

• Develop dashboards, scorecards and trends, key performance indicators (KPIs)/Key Business Indicators (KBIs), data dictionaries and reports to support existing value-based contracts and the development of new contracts
• Maintain the accuracy of all reports distributed both within the department and externally
• Work with other functional areas to ensure that analyses are accurate
• Identify opportunities for cost savings and revenue and prioritize focus areas for providers
• Utilize knowledge of EmblemHealth’s various processing systems including claims, provider, and enrollment systems to understand how analyses should be conducted
• Responsible for developing and executing data strategy to support value-based analytics
• Collaborate with IT to develop processes to deliver data to and receive data from providers
• Track and communicate dashboard changes to IT and ensure completion
• Ensure departmental compliance is reported accurately and department and corporate goals are met
• Assist Value-Based Network Managers and others on the Engagement/Contracting Team in developing and explaining ad hoc analyses to providers
• Present analyses to executive leadership, providers, and other internal functional areas

Skills: Dashboard Development, KPI Management, Data Accuracy, Value-Based Analytics, Data Strategy, Claims Analysis, Stakeholder Collaboration, Executive Presentation

• Own analytic strategy and execution for all consumer products
• Gather data across all consumer-facing stakeholders, from event partners to existing subscribers and prospective customers
• Identify gaps in existing products, and create game plans to tackle them
• Constantly level up data functions and infrastructure to support scalability and growth
• Report new insights across the organization, driving towards internal alignment for new initiatives
• Dive deeply into data sets to draw conclusions and suggest directional action
• Creating automated anomaly detection systems and constantly tracking their performance
• Doing ad-hoc analysis and presenting results in a clear manner about core KPI’s and Root cause analysis
• Processing, cleansing, and verifying the integrity of data used for analysis
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Selecting features, building, and optimizing classifiers using machine learning techniques
• Extending the company’s data with third-party sources of information and leading projects for its development and execution

Skills: Analytics Strategy, Data Integration, Gap Analysis, Scalable Infrastructure, Anomaly Detection, Root Cause Analysis, Machine Learning, Data Quality

• Facilitating workshops and discussions to effectively gather requirements and achieve a joint understanding of data and insight needs
• Taking responsibility for the identification, gathering and analysis of data
• Recommending data visualisation and dashboard developments to support informed decision-making
• Helping senior stakeholders to understand and meet operational and strategic data insight targets
• Working as part of a delivery team to support insight generation from digital services
• Advising customers and managers on the estimated effort and technical implications of visualisations and dashboards
• Making a significant contribution to the data analysis community and wider data and analytics capability
• Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development

Skills: Requirements Workshops, Data Analysis, Data Visualization, Dashboard Design, Stakeholder Advisory, Effort Estimation, Analytics Community, Team Coaching

• Retrieval, analysis, simplification and representation of data
• Working in collaboration with peers to identify data analysis requirements
• Drive the breakdown of large problems into smaller iterative steps and influence the ways of working
• Extract, evaluate, and organise large sets of highly complex data from a range of sources
• Creating and maintaining reports for the aligned function
• Pick the most appropriate tool, method and design pattern to satisfy the requirement, and coach others on how to do so
• Proactively suggest improvements where they see issues 
• Evangelise and educate Sanne about the better use and value of data
• Comply with all Sanne policies
• Help create/own the maintenance of the technology KPI and Metrics suite for the group

Skills: Data Analysis, Requirements Gathering, Problem Decomposition, Data Extraction, Reporting Maintenance, Tool Selection, Process Improvement, KPI Management

• Lead designs, develops, and maintains high-quality and optimal solutions related to data integration and compelling visualizations for business analysis
• Leverage large volumes of diverse data to understand the relationships, rules, and usage patterns of data that might impact business results
• Test/Deploy sophisticated analytics programs, machine learning and statistical methods to ensure data is prepared for use in decisioning, predictive and prescriptive modeling
• Explore and examine data from source systems, Data Lake, Data Warehouse and business partners to find and implement analytical solutions
• Create data pipelines to support analysis and data presentation to the partner teams
• Communicate in crisp, fundamental terms to key stakeholders based on analysis of data, identifying trends, data insights, and action items
• Present results and recommendations
• Craft coherent, crisp messaging from complex, voluminous data and output
• Test, validate and deploy a machine learning algorithm to enhance existing and/or introduce new processes and show bottom-line impact
• Ensure that work and processes are well documented
• Develop project requirements, analytic plans, SOWs, project timelines, roadmaps, and other related materials for the management of outsourced model development and/or management
• Interact with process SMEs and senior/executive leaders across the business
• Anticipate issues based on knowledge of internal data trends and propose solutions
• Serve as an expert consultant to internal technical and line of business teams
• Promote data validation goals, ensure accuracy of deliverables, and communicate precisely

Skills: Data Integration, Advanced Analytics, Machine Learning, Data Pipelines, Predictive Modeling, Data Visualization, Stakeholder Communication, Data Validation

• Build data marts, dashboards, and reporting pipelines
• Evangelise the standardisation of metrics across the marketplace
• Design and analyse switchback experiments
• Develop automated data quality checks to build stakeholder confidence
• Perform exploratory data analysis and present insights to drive strategic decisions
• Perform advanced analytics (e.g., build data apps using streamlit/dash, statistical inference)
• Understand business and stakeholder requirements, define solutions to problems using data analysis, and represent business impacts in the form of reports
• Develop a deep understanding of the supply chain operations and the entities that affect SCM
• Manage multiple moving parts across various teams
• Building elaborate business cases and selling solutions to the Management team and other stakeholders will be a typical day’s work

Skills: Data Marts, Metric Standardization, Experiment Design, Data Quality, Exploratory Analysis, Advanced Analytics, Stakeholder Management, Business Case Development

• 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

• Strength in numeracy, analysis and problem solving
• Proven track record of successful exploitation of large, complex data sets
• Excellent communication, organisation and influencing
• Enthusiastic, “can-do” approach
• Flexibility, self-motivation and reliability
• Ability to work independently and as part of a team
• Experience of working with data in financial services, and insurance in particular
• Must have SQL skills, e.g., SSMS, T-SQL, SSIS, SSAS (multi-dimensional and tabular)
• Proficient in Microsoft Excel and other MS Office applications
• Experience of preparing data sets for consumption by similar reporting and visualisation tools)
• Working experience in MS Azure 

Qualifications: BS in Data Science with 4 years of Experience

• Experience with fraud risk management and investigations, Internet advertising, or e-commerce
• Experience working in a security and/or privacy team on data protection and user trust
• Understanding of how the Internet works economically, socially, and technically
• Ability to identify workflow pain points, optimize, and scale processes
• Comfortable interacting with internal and external users
• Ability to apply high-level analytical, statistical and quantitative problem-solving skills to make actionable recommendations based on outcomes
• Ability to source and work with large amounts of data from different data sources, Python, SQL, and R 
• Experience with Looker 
• Ability to manage multiple projects simultaneously and work in a fast-paced environment as part of a team
• Knowledge of the Consumer Banking Industry 
• Hands-on experience in the data field

Qualifications: BS in Computer Science with 5 years of Experience

• Fluent verbal and written English
• Experience working with digital products 
• Strong business mindset
• Good project management and delivery management skills
• Good stakeholder management skills
• Excellent data skill (knowledge of SQL, advanced visualisation skills, with experience with Tableau/Looker/Data Studio)
• Clear and effective communication with cross-functional business partners of varying technical levels
• Experience working with Google Analytics
• Experience in Python, R, C++, Java, Go, Scala 

Qualifications: BS in Statistics with 2 years of Experience

• Experience working with online websites or software that depends on healthy user engagement
• Experience tracking and analysing customer behaviour
• Strong competency with SQL
• Experience with data warehouses such as Snowflake, Redshift, or BigQuery 
• Experience wrangling and analysing data using Python or R
• Experience with optimising product funnels, running experiments, and building dashboards that effectively communicate results and outcomes
• Experience with very large data sets
• Proven track record leading fellow data team members
• Experience with statistical software
• Coding skills in languages such as Oracle and Python
• Analytical and problem-solving skills

Qualifications: BS in Mathematics with 6 years of Experience

• Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
• Experience with reporting and data visualization
• Good organizational and documentation skills
• Must have technical writing skills
• Proficient use of both written and spoken English language
• Experience in Web/Product Analytics - particularly in Conversion Rate Optimisation, Performance Monitoring, etc.
• Experience in training, nurturing or mentoring team members
• Experience in Statistics or Data Science - think modelling techniques, regression analysis, etc
• Experience with data visualisation libraries (Matplotlib, D3.js, etc.)

Qualifications: BA in Economics with 4 years of Experience

• Experience with data visualization using Tableau, Quicksight, or similar tools
• Working experience in analyzing and interpreting data 
• Experience with Redshift, Oracle, NoSQL, etc.
• Experience in writing complex SQL queries
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience with using statistical concepts for analysis
• Excellent communication skills to communicate project details to stakeholders
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• Advanced in SQL, SAS and other data systems

Qualifications: BS in Applied Mathematics with 5 years of Experience

• Advanced level of SQL
• Advanced knowledge of Tableau or a similar visualization tool
• Advanced level in either R or Python
• Fluency in English
• Professional experience in data analytics
• Experience with cohort analysis
• Experience partnering with product teams on A/B testing
• Able to communicate clearly with stakeholders who aren’t analytics experts
• Able to identify areas for investigation and drive projects to completion without a manager always directing work

Qualifications: BS in Information Systems with 2 years of Experience

• Experience in business analysis, quantitative analytics, and data science within the financial services industry
• Hands-on experience in Tableau
• Working experience in developing complex queries using T-SQL
• Working knowledge of analytical techniques including regression analysis and Machine Learning algorithms for pattern recognition, predictive analytics, anomaly detection and operational analytics
• Organizational and prioritization skills to manage multiple, competing priorities
• Leadership skills to mentor others within the group or across the business
• Excellent communication skills and ability to thrive in a fast-paced, complex environment
• Experience developing requirements and testing analytic solutions collaboratively
• Solid planning, priority setting, and time management skills
• Highly motivated, collaborative, and innovative
• Knowledge of financial analysis, credit, profitability drivers, as well as operational analytics

Qualifications: BS in Management Information Systems with 4 years of Experience

• Working experience in providing business insights using data and analytics
• Demonstrated ability to use advanced analytics to drive business actions that led to increased revenue and/or decreased cost
• Working knowledge of advanced probability and statistics - hypothesis testing, advanced regression, statistical process control
• Expertise in SQL and RDBMS
• Proficiency in the ‘modern data stack’ such as Snowflake, dbt, Fivetran, Airbyte, Prefect, and similar tools
• Proficiency with programming languages used in data science, such as Python and R
• Ability and willingness to quickly learn new technologies
• Expertise in cleansing and integrating data from disparate data sources
• Proficiency working with engineers on creating and testing ETL pipelines
• Expertise with Business Intelligence reporting and visualization tools, such as Tableau, PowerBI, Yellowfin BI, and/or Looker
• Expertise in creating descriptive reports/dashboards and performing trend analysis for operational metrics and business KPIs

Qualifications: BA in Business Analytics with 6 years of Experience

• Ability to learn business processes quickly and identify inefficiencies through analysis
• Proficiency in diagnostic, predictive, and prescriptive analytics
• Proficiency in presenting to and influencing leadership on business decisions based on insights gleaned from analytics
• Strong adherence to core software engineering principles (code modularization, versioning, git, testing, etc.)
• Familiarity with Agile development such as Scrum or Kanban
• Understanding of the fundamentals of cloud (Azure, AWS) technologies and databases
• Experience with financial modeling
• Experience working with NoSQL and graph database systems
• Experience using RPA, AI and other emerging technologies in the advanced analytics space

Qualifications: BS in Analytics with 5 years of Experience

• Experience in data visualisation - creating dashboards and reports in a BI tool
• Experience in eCommerce or Digital Marketing
• Comfortable collaborating and communicating insights and recommendations
• Demonstrable experience in defining measurement strategies and working with stakeholders to produce dashboards/reports
• Experience in using Data Warehouses/Big Data as a data backbone - especially in blending multiple complex data sources
• Understand and have experience with SQL
• Able to own a data quality framework and ensure insights are correct and robust
• Comfortable mentoring and training other members of the team in Tableau and other data tools
• Comfortable defining presentation standards, guides and templates for dashboards and reports
• Comfortable managing and prioritising multiple concurrent projects
• Experience working with GCP or another cloud service provider (AWS, Azure, Snowflake, Databricks, etc.)
• Experience in forecasting and measuring ROI - specifically around projects and initiatives (Cost-benefit Analysis, measuring incremental lift, etc)

Qualifications: BS in Data Analytics with 7 years of Experience

• Technical experience in data analysis
• Working experience in project leadership
• Advanced experience working with big and complex data sets within large organizations
• Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
• Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
• Proficiency in understanding healthcare-related data
• Proficiency in verbal/written communication with senior and executive leadership
• Experience with tools such as Tableau and Qlik for creating data visualizations
• Expertise in data mining, forecasting, simulation, and/or predictive modeling
• Experience creating analytics solutions for various healthcare sectors

Qualifications: BS in Industrial Engineering with 4 years of Experience

• Work experience in data analysis or a master's level education in business analytics, data science, etc.
• Experience with economics and labor market data and analysis
• Demonstrated leader in knowledge and application of data, reporting, and analytics
• Proficient with various programming languages- SQL, R, Python
• Proficient with relational and non-relational databases
• Strong domain-specific knowledge in Human Resources data and processes
• Prior experience in human resources or talent/people analytics industry
• Excellent hands-on knowledge of SQL and experience with more advanced analytics topics such as cohort and regression analysis
• Experience with data visualisation tools such as Tableau, Looker or similar
• Able to communicate with clarity and empathy on insights and recommendations to cross-functional stakeholders for decision-making
• Must have an eye for details

Qualifications: BS in Operations Research with 5 years of Experience

• Excellent communication and interpersonal skills
• Critical Thinking and research capabilities beyond "Inside the box" thinking
• Strong problem-solving skills
• Ability to determine, plan, and manage own workloads as well as others
• Previous experience in a numerical or logical field/role leading others 
• Strong passion for learning and questioning the norm
• Excellent understanding of SQL and data extraction using it
• Experience in cleaning and preparing data for analysis for self and others
• Experience in In-Depth Data Analysis and Exploration
• Thorough understanding of the differences between Diagnostic, Descriptive, predictive and prescriptive analytics
• Knowledge of data-related RDBMS programming languages such as T-SQL or PL/SQL
• Knowledge of data-related Code programming languages such as R or Python
• Experience in Reporting and visualisation tools such as Power BI, QuickSight, and Mode

Qualifications: BS in Financial Engineering with 6 years of Experience

• Experience leading smaller teams of up to 4 data analysts
• Should have working proficiency in SQL, Python, Looker(any other BI tool)
• Should have working proficiency in conducting analysis and sharing insights and recommendations
• Should have the capability to work independently with very minimal supervision
• Possess critical thinking, problem-solving, stakeholder management, and effective presentation skills
• Should be a good team player with inclusiveness and constructive thinking
• Working experience in data analytics
• Working experience in Fraud and Banking 
• Experience applying statistical modeling and inference
• Working experience in SQL programming 

Qualifications: BA in Finance with 4 years of Experience