• Work with the business teams to identify and implement high-value analytics use cases.
• Develop, lead and implement specific high-value transformative analytics boost topics that make step-changes in the generation and implementation of analytics 
• Help identify and prioritize business use cases, work with business leaders to identify and prioritize problems that can be solved through data and analytics
• Define the approach that is needed to produce the highest business value impact, develop the business case and track the value impact
• Guide junior analysts and data scientists in the execution of the business use case
• Ensure it is done most efficiently, and interpretable for business stakeholders
• Coach the analysts to synthesize complex insights into easy-to-understand actionable recommendations that resonate with business stakeholders
• Implement the proposed solutions, both by driving the business stakeholder agenda and by adjusting existing business processes to fully leverage the generated insights
• Provide clarity to all functional domains within SBS (account management, payments and cards, financing, risk reporting, integrated core banking products) concerning the data architecture to put in place.
• Define the technical setup for data management within the SBS platform solutions (Sopra Banking Platform for Retail Banks in EMEA and Sopra Financing Platform for Specialised Finance Globally)
• Recommend to the SBS Design Authority and SBS Excom about the make or buy/partner strategy for each step in the value proposition to deliver data use cases to the current customer base
• Develop in close collaboration with Marketing the Go-to-Market for data usage.

Skills: Analytics Development, Business Case Creation, Analyst Coaching, Data Architecture, Analytics Implementation, Process Adjustment, Insights Synthesis, Go-to-Market Strategy

• Contribute to the design, management, and execution of fiscal mapping projects
• Guide and support a team of GRAs, practicum students and interns in learning the process and producing fiscal maps
• Collect, clean, code, manage, analyze, and visualize fiscal and policy data, and communicate data findings to diverse audiences
• Conduct literature reviews and gather background information at the federal, state and local levels for multiple states and communities across the country
• Build and maintain relationships through outreach, communications and interviews with a range of stakeholders, including state administrators, policymakers, and child and youth advocates
• Draft and edit reports, dashboards, PowerPoint, and other deliverables
• Deeply engage partners, state leads, and other stakeholders in fiscal mapping and other information-gathering processes from start to finish
• Contribute to the evaluation and continuous improvement of the fiscal mapping data collection tools, including user experience
• Execute short-term, fast-turnaround requests
• Manage multiple projects and relationships
• Contribute to the development of related training materials

Skills: Fiscal Mapping Design, Team Guidance, Data Analysis, Literature Review, Stakeholder Engagement, Report Writing, Project Management, Training Development

• Provide innovative analytical insights by working with stakeholders throughout the organization to identify opportunities for leveraging data 
• Drive business solutions including interpreting data and presenting information using data visualization techniques to identify data patterns and trends.
• Using statistical practices, analyze current and historical data to make predictions, and identify risks, and opportunities, enabling better decisions on planned/future events 
• Transforming data presented carts and tables into a format that is useful to the business and aids in effective decision-making.
• Ensure accuracy, performance, understanding, and operational and analytical efficiencies by documenting business requirements and translating them into technical requirements.
• Serve as a subject matter expert for the source systems and the data warehouse by understanding existing business processes, functions and corporate data.
• Acquire and integrate data from multiple data sources for analysis, perform exploratory to advanced predictive and/or modeling analytics, and identify data relationships
• Present data and analysis clearly and concisely allowing the internal clients to quickly understand the results and make data-driven decisions.
• Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining and predictive analytics.
• Define and guide «data value management» with an intrapreneurial mindset to leverage data as a strategic asset for good
• Engage in structured data valuation efforts when it comes to the acquisition of trusted data (sets) or M&A cases

Skills: Analytical Insights, Data Visualization, Statistical Analysis, Data Transformation, Business Requirements Documentation, Subject Matter Expertise, Predictive Analytics, Data Value Management

• Develop data strategy capabilities in the company and the inclusion of data mindset and commitment to business strategies
• Engage with executive stakeholders and SMEs to develop the data strategy for Zurich Group, business units and group functions
• Establish clear goals and measurable objectives for data strategy that serve the larger business strategy
• Develop and implement sustainable solutions for ensuring high-quality data that support analytics and reporting
• Establish data policies, standards, and practices to achieve required levels of data consistency, quality, and compliance
• Liaise closely with Technology, Underwriting and Operations Leads to ensure processes/data capture support consistent data governance and quality
• Own and maintain the Reinsurance organization’s reference data and associated definitions Identify, track, and resolve existing data quality issues
• Build out a data dictionary including data definitions, data values, and formats
• Coordinate data auditing and automated data validation capabilities
• Serve as the primary owner of the Reinsurance organization’s data governance platform, including responsibilities for updates to the platform and workflows to enable adoption
• Work closely with the Technology team to implement and maintain consistent data governance and quality improvement initiatives

Skills: Data Strategy Development, Executive Engagement, Goal Setting, Data Quality Solutions, Data Policies and Standards, Data Governance Liaison, Data Dictionary Management, Data Governance Ownership

• Join the Evidence Lab Alternative Data Strategy team, which helps clients understand and use alternative data in their decisions
• Collaborate with the bank's research analysts to design, execute, and deliver novel solutions to answer investor questions
• Lead brainstorming meetings with the Research analysts to understand investment debates and offer relevant solutions
• Provide support interpreting alternative data analytics
• Champion the client's product and educate stakeholders on Evidence Lab capabilities
• Create written content highlighting how alternative data applies to relevant investment debates
• Communicate to solve challenges, while moving toward consensus solutions
• Discover datasets through the planning of near and long-term strategies with Two Sigma leadership
• Develop domain expertise to identify optimal datasets suited for corresponding investment theses across industries - requiring both extensive research and networking
• Design best-in-class systematic data products with external partners for use in the Two Sigma investment process
• Negotiate contractual terms alongside counsel, often engaging C-suite counterparties
• Collaborate with internal engineering to ensure ongoing data delivery and ingestion
• Identify operational pitfalls, suggest resolutions and certify implementation

Skills: Data Strategy, Analyst Collaboration, Brainstorming Leadership, Data Interpretation, Stakeholder Education, Content Creation, Dataset Discovery, Data Product Design

• Working experience in data analysis, data management, and reporting domain
• Experience with Natural Language Processing
• Knowledge of banking products and experience in the financial sector
• Excellent analytical skills, able to interpret and consolidate large amounts of information in actionable recommendations.
• Uses sound judgment in the creation of analysis, validation, interpretation and presentation of findings.
• Proven experience cleaning, transforming and visualizing large data sets working with various data formats
• Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV
• Solid knowledge of Data Analysis or manipulation tools for working with data (e.g. SQL, DB2, MySQL, Python, R)
• Experience using and implementing visualization tools like PowerBI, Tableau or Qlikview
• Experience with Big Data ecosystem tools (e.g. Hive, Spark, Google Cloud Platform)
• Strong project management and communication skills (both oral and written).

Qualifications: BS in Marketing Analytics with 8 years of Experience

• Good negotiation, communication and relationship-building skills. 
• Ability to influence business decisions and formulate positive relationships with customers, strategic partners and colleagues.
• A high level of self-initiation, organization and eagerness to learn and develop new skills.
• Strong consulting skills, knowledge and experience of a variety of techniques and methods to rapidly capture, elaborate and understand client challenges.
• The ability to work as a part of a team adding expertise and value to project deliverables.
• Generalist expertise across the entire data analytics journey including data strategy, data governance, risk and ethics, architecture, and modeling.
• Specialist expertise in technology implementation including data on the cloud (AWS, Azure or GCP).
• Experience in Data science, AI/machine learning, and hyper-automation.
• Experience in data modeling of any type - conceptual, logical, dimensional or physical.
• Experience in databases, data warehousing and ETL.

Qualifications: BS in Data Science with 5 years of Experience

• Professional experience in a data-rich environment
• Working experience with databases
• Functional data governance experience
• Experience with Tableau (Tableau Prep and Server)
• Deep understanding and technical capability for system design, data governance and business strategy, and ability to translate strategy into desired outcomes
• Strong understanding of data lineage, data warehousing and data platforming
• Strong analytical mindset and ability to use data and logic to tell stories
• Ability to decompose complex problems into manageable parts
• Experience with data visualization tools to discern critical information from large data sources
• Strong process management with proven ability to optimize and scale processes within the business
• Excellent understanding of data administration and management functions (collection, analysis, distribution, etc.)

Qualifications: BS in Information Technology with 6 years of Experience

• Be analytical and curious with a make-it-happen mentality.
• A strategic storyteller, with experience in the identification of value-creation opportunities leveraging Data and AI and able to translate this into compelling business cases for senior executives.
• A deep understanding of the possibilities, pitfalls and limitations of the broad spectrum of Data and AI.
• Love guiding clients through their data-driven journeys.
• Relevant experience in the area of AI or data strategy, data monetization, analytics and automation.
• Understand how sustainable value creation from data & AI should be embedded within a broader business strategy and operating model.
• Be knowledgeable about the trends and evolutions in the area of data & analytics, machine learning/AI and automation.
• Strong experience with project management methodologies & agile delivery approaches within an analytics/AI context.
• Experience in applying innovation and design thinking techniques in the context of Data & AI.
• Strong communication and relationship-building skills.
• Be bilingual in English and Dutch/French

Qualifications: BS in Business Analytics with 9 years of Experience

• Experience in delivering data, analytics, and AI/ ML strategies.
• Working experience in data governance
• Demonstrate leadership in driving change
• Ability to solve complex problems, work cross-functionally, and create clarity from complexity or ambiguity
• Ability to work in a matrixed environment
• Demonstrate a high sense of ownership and drive for closure with persistent attention to detail
• Demonstrate a continuous improvement mindset
• Ability to collaborate across disciplines in an effective manner
• Ability to work in a fast-paced, dynamic environment and deal effectively with conflicting priorities and changes
• Excellent communication including written and verbal presentations to the senior-level audience

Qualifications: BS in Statistics with 4 years of Experience