• Lead a team of BI Developers and BI Engineers. 
• Define their data needs and deliver value-adding reporting that enables frictionless decision making.
• Great design and redefining best practices with a cloud-based approach to scalability and automation. 
• Working closely with business stakeholders to define a data roadmap, prioritize immediate needs, dive deep into data analysis, and coordinate the implementation of long-term solutions.
• Define and prioritize work for the team, using stakeholder's input to focus on highest value first.
• Act as the POC from a data perspective for the business unit the team is supporting.
• Develop a data roadmap, with continuous improvement in mind.
• Use expert SQL and data modeling skills to build the base layer data model that will power Reef's reporting dashboards
• Work closely with engineers and business users to troubleshoot and resolve data quality issues and maintain high level of data accuracy
• Simplify, optimize and document existing code
• Write ETL jobs to transform data coming from a variety of systems and files into data warehouse

Skills: Lead Team Management, Data Strategy & Roadmapping, Cloud-Based Scalability & Automation, Stakeholder Engagement, SQL & Data Modeling, Data Quality Assurance, ETL Development, Code Optimization & Documentation

• Manage scope and coordinate team resources for the flawless execution of projects
• Developing team objectives, involving all relevant stakeholders and ensuring technical feasibility
• Contribute to the data analysis needs in terms of data mining ( for eg: analyze data from system log central database to improve system reliability)
• Contribute to requirements gathering, design , development and deployment stages of
• Develop a detailed project plan to track progress
• Perform risk management to minimize project risks
• Use appropriate verification techniques to manage changes in project scope, schedule and costs
• Coordinate with different functional teams to implement models, processes, monitoring of data accuracy and outcomes
• Drive best-in-class agile practices to manage project execution and bring in innovative ways to improve development/ data analysis approaches.

Skills: Project Management, Team Leadership and Objective Setting, Data Analysis and Mining, Requirements Gathering and Development, Project Planning and Progress Tracking, Risk Management, Change Management, Cross-Functional Collaboration

• Lead team design and development efforts involving multiple resources across functional and technical areas
• Design, develop, test, and deploy objects in SAP Business Objects including Crystal reports, universe design and Web intelligence reports
• Create Complex Tableau Dashboard Development and set up security
• Performance tune and architect complex Tableau dashboard and set up best practices for the team
• Be responsible for building partnerships internally, and creating tools that can be leveraged by all areas of the business
• Have an ability to drive ownership and execution with teams onsite or offshore
• Be responsible for helping grow data and analytics strategy, and building a roadmap to get there
• Perform hands-on analysis in support of business requests, including the development of conclusions and recommendations
• Be responsible for developing complex SQLs and procedures in TIBCO data virtualization
• Be responsible for query performance tuning and ETL (extract, transform, and load) in order to troubleshoot issues
• Partnering to help improve processes where data can assist in optimization
• Research opportunities and tools to better enable data and analytics capability

Skills: Project Leadership, SAP Business Objects, Tableau Dashboard Development, Partnership Building, Team Management, Data and Analytics Strategy, SQL and Data Manipulation, ETL and Data Optimization

• Conjunct with business stakeholders and the analytics team, define, scope and determine the business need, analytical and data engineering approach and plan to deliver strategic value analytics use cases
• Assemble and manage a multi-functional, cross disciplinary team (business users, data engineers, data scientists and IT support) in the end to end agile delivery of use cases
• Test and challenge the analytical methodology, data engineering, modeling approach across the analytics development lifecycle
• Ensure the effective and compelling communication of the approach and resulting actionable insights to the key business stakeholders at all levels (eg using a “What, So What, What Next” framework
• Ensure effective management and coordination of multiple senior and operational level divisional stakeholders in the alignment of knowledge and expectations and resolution of issues/ risks
• Support the development of the broader analytics and data strategy for the division, including the identification, valuation, prioritisation and resulting action plans required for to progress the use cases and the respective enablers (technical and people/process capabilities)  
• Be responsible for the coordination and program management of a brand new datalab in a challenging environment.
• Work on a PoC in the datalab, will test them and once confirmed, it'll be industrialized.

Skills: Stakeholder Engagement and Management, Team Leadership and Cross-Functional Collaboration, Analytical Methodology and Testing, Effective Communication, Stakeholder Management and Issue Resolution, Analytics and Data Strategy Development, Program Management, Proof of Concept (PoC) Development

• Financial Crime software rules optimization (analytics, definition of new thresholds, new rules selection)
• Financial Crime (AML Transactions monitoring, KYC, Sanctions, Fraud and Intelligence Analysis, Cyber) systems implementation and parametrization rules identification, rules parametrization
• Internal Financial Crime (AML / Sanctions / Fraud detection) proprietary applications development (leading, QA) with the firm’s internal development team – supporting product owner and overseeing the data science team
• Risk based sampling and analysis, anomalies detection, rules definition and parametrization in risk assessment related projects
• Supporting the implementation of financial crime detection systems and proposing new frames, combining with the selection of new systems, enhancing the current capabilities of the enterprise in the Financial Crime detection landscape
• Participating in assessment related projects with the aim of assessing the AML / CTF / Sanctions IT compliance (against local and international requirements as well as internal policies mapping and parametrization – IT perspective)
• Testing the efficiency of technology and analytics controls programs (AML rules, onboarding procedures, KYC, sanctions, correspondent banking etc.) of banks and financial institutions
• Communicating on a daily basis with clients
• Work in a client facing environment in delivering change through executing activities such as requirements definition, gap analysis and working with clients to design and deliver solutions
• Responsibility for the quality and production of client deliverables

Skills: Financial Crime Software Optimization, Financial Crime Systems Implementation, Internal Financial Crime Application Development, Risk Analysis and Anomaly Detection, Financial Crime Detection System Enhancement, AML/CTF/Sanctions IT Compliance Assessment, Efficiency Testing of Technology Controls Programs, Client Communication and Engagement

• A/B testing and optimization across consumer-facing product touchpoints on merchant sites.
• Platform-wide analytics to confirm the product is working as expected (loading of images, buttons, load times etc.)
• Working with Data Engineering and Product to make sure proper analytics tracking is set up (ideally before launch) for all new features/products and supporting in development of ETLs
• Broad product optimization across platform, consumer marketing analytics
• Work closely with RevOps as technical resource to build data platform to determine sales comp planning (and payouts) and help them write up basic scripts or financial models 
• Work with MSMs to craft the story to merchants, client insights, warranty services support
• Includes A/B or serial tests, NPS surveys, merchant satisfaction surveys, etc.
• Help turn these insights into sales enablement and competitive positioning
• Manage tests at merchants and get data to build out case studies and GTM messaging
• Drive portfolio-wide revenue optimization and communication to merchants on personalized optimization based on testing across platform
• Work with merchants on email, digital media and in-box campaigns to drive increase attach rates and incremental revenue for merchant partners and ourselves
• Work with Risk and Insurance team to build deep-dive analytics and machine learning models to better forecast risk across the portfolio
• Support servicing team to help drive step-change improvements in efficiency (beyond day-to-day workforce management) and forecast hiring based on Revenue team signing/integration expectation

Skills: A/B Testing and Optimization, Platform-Wide Analytics, Data Engineering Collaboration, Product Optimization and Marketing Analytics, RevOps Support, Client Relationship Management, Test Management and Data Analysis, Machine Learning and Forecasting

• Develop a framework for the creation, tracking, and reporting of headcount plans for the year.
• Partner closely with business leaders and sales operations leads to set ambitious yet achievable goals for the sales organization, then put a framework in place to report, analyze and measure progress against them.
• Create mechanisms and processes to support field sales team by ensuring that maximize investment in time, mindshare, and resources while empowering them with the tools, time and focus to constantly exceed the expectations of end customers
• Analyze industry and Amazon internal data to understand the competitive landscape across services and identify customer trends
• Support strategic initiatives from the analytical standpoint
• Own key executive reporting consumed by Sales VP and Sales Leadership
• Partner with central economics, machine learning, data engineering, sales operations, finance and other analytics teams to ensure the most efficient and effective allocation of resources to tackle team's agenda.
• Ensure that the quality and timeliness of analytic deliverables to meet and exceed the Sales Strategy & Operations team expectations

Skills: Data Analysis, Sales Strategy Development, Process Improvement, Executive Reporting, Cross-functional Collaboration, Strategic Thinking, Project Management, Communication Skills

• Progressive experience in solution development building of data and analytics products
• Experience with SQL or other data discovery/analysis platforms in a capacity supporting day-to-day operations
• Experience in a business-facing analytical role and proven track record of related success
• Experience with data visualization tools (Tableau, Power BI, etc.)
• Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts
• Experience in business analytics and/market research
• Experience in the bio/pharmaceutical or related field with direct responsibilities using research and analytics 
• Influence the decision process of brand and commercial leadership strategy
• Support of marketed products, launch experience
• Have broad experience in the key functional areas of business analytics
• Design and analysis of primary market research, secondary data analysis and higher-level analytics, such as models and forecasting

Qualifications: BS in Statistics with 5 years of Experience 

• Knowledge of an analytical tool (ie R, Python), ETL tools (ie Talend), and a virtualization tool (ie Denodo), Tableau and/or MicroStrategy
• Experience working with AWS cloud-native technologies, for example RedShift Spectrum, S3, Athena
• Advanced working SQL knowledge and experience working a variety of databases technologies (PL/SQL, MySQL, JDBC, NoSQL)
• Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service, AWS Aurora and Dynamo DB
• Experience shredding XML/JSON files and MongoDB as a data source
• Familiarity with Secondary Mortgage Market and/or Freddie Mac business and operations also
• Strong leadership experience in highly matrixed environment
• Strong verbal and written communication skills, including the ability to present content from low to high levels of complexity to audiences of varying levels of seniority.
• Ability to interact cross-functionally and participate in both business and technical discussions, work across silos, change leadership
• Proven track record serving as lead on major projects and/or programs
• A sense of humor, strong desire to work with data, intellectual agility and interpersonal flexibility
• Deep curiosity to learn about new trends and latest and greatest in the Data Analytics space
• Ability to develop mutually beneficial relationships inside and outside of Single-Family.

Qualifications: BS in Data Science with 8 years of Experience 

• Possess expert domain knowledge in a technical field.
• Strong analytical skills in data mining, Natural Language Processing (NLP), and Machine Learning (ML).
• Experience creating vision and technology innovations for data science.
• Experiencing implementing and/or overseeing the implementation of machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks.
• Experience working in cross-domain environments.
• Experience designing and developing methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including “big data” sources.
• Experience providing predictive modeling, statistical analysis and hypothesis testing.
• Has experience within his/her field, which may include: extensive accomplishments, recognition by peers, training, and/or certifications directly related to the discipline.
• Possess the ability to negotiate complex scenarios and challenges and devise courses of action to resolve situations with predictable outcomes.
• Possess leadership abilities where decision making is of utmost concern to the outcome.

Qualifications: BS in Computer Science with 5 years of Experience 

• Experience as a data analyst with associated modeling and analytics experience
• Know statistical modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks
• Experience leading and coordinating broad business reviews, manipulating, processing, and extracting value from large, disjointed data sets
• Experience supporting sales organizations
• Track record of building scalable, efficient, automated processes for large scale data analyses
• Experience using the AWS analytical services (e.g., Redshift, EMR, Machine Learning, Kinesis)
• Have strong written and verbal communication skills, with a track record of presenting to senior management
• Experience within an analytical or commercial analytics function within a large retailer, top-tier strategy, or management consultancy
• Work with senior stakeholders to break down and structure complex problems
• Analyze complex problems and deliver insightful and practical solutions
• Experience of working with at least 3 of the following tools: Alteryx, PowerBI, QlikView, and languages such as Python, R, SQL.

Qualifications: BS in Mathematics with 6 years of Experience 

• Experience in advanced data analytics projects
• Experience and good knowledge of advanced analytics techniques, AI, machine learning
• Experience with threshold setting, rules optimization, rules selection, shadow testing and coding financial crime rules
• Genuine personal interest in investigations and financial crime management programs
• Data analytics and subsequent interpretation
• Have written and spoken fluency in English
• Have the willingness to travel and work internationally
• Be a team player with a communicative personality and a client-oriented person
• Knowledge about the technology landscape in the Financial Crime space
• Make quick comparisons of various capabilities, including “on-the-spot” recommendations of appropriate vendors for financial institutions
• Know international regulations in the area of AML / CTF / Sanctions and other Financial Crime related acts (US PATRIOT Act, BSA, EU Directives, etc.) and their impact on the financial crime systems development
• Have other EU / non-EU languages
• Have financial-related experience (working for financial institutions, thus combining technical and SME knowledge)

Qualifications: BS in Business Analytics with 4 years of Experience 

• Experience in generating business insights
• Have SQL knowledge or a willingness to learn
• Have SharePoint knowledge or a willingness to learn
• Have familiarity with Veeva/Salesforce CRM, Salesforce Marketing Cloud 
• Experience in analytics, data engineering, business intelligence, statistical analysis, or related field
• Good understanding of different types of databases and their relevant use cases
• Advanced proficiency in SQL for querying databases
• Know GDPR/compliance, exceptional visualization skills 
• Experience using enterprise BI tools (Tableau, QuickSight, PowerBI, MicroStrategy)
• Experience in developing requirements and formulating business metrics for reporting
• Be an expert using Excel for data analysis and modeling

Qualifications: BA in Economics with 5 years of Experience 

• Experience working with the quantitative acquisition, conversion funnel, cohort, and retention data in a user-led digital business, either B2C or B2B, preferably B2B2C 
• Know how to set up event tags and page tracking in the codebase (build on local environment and deploy or quickly learn from dev team how to) for more effective tracking of user behavior
• Experience working with geographical and other behavioral data to build predictive models of user behavior/customer performance
• Confident building and populating (through migration) new fields into the database (Mongo), deploying to production (with help from the dev team to learn if required)
• Understand how to stitch together various data sources to create one ‘nerve center’ for business insights and information
• Design and build (or clearly direct developers to build) API connections between systems, determining which systems have read-write control versus read-only
• Knowledge of applied AI and the inner workings of building a flexible digital product that adapts to the user’s needs.
• Entrepreneurial, comfortable building incrementally and making tough prioritization decisions, rather than having the perfect solution day one

Qualifications: BS in Information Systems with 3 years of Experience