• 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 setup security
• Performance tune and architect complex Tableau dashboard and set best practices for the team
• Responsible for building partnerships internally, and creating tools that can be leveraged by all areas of the business
• An ability to drive ownership and execution with teams onsite or offshore
• 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
• Responsible for developing complex SQLs and procedures in TIBCO data virtualization
• Responsible for query performance tuning and ETL (extract, transform, and load) to troubleshoot issues

Skills: Team Leadership, SAP Business Objects Development, Tableau Dashboard Development, Performance Tuning, Stakeholder Engagement, Data Analytics Strategy, Complex SQL Development, ETL Troubleshooting

• Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including “big data” sources.
• Identify and validate advanced software programs, algorithms, query techniques, models for complex business problems, and automated processes to cleanse, integrate, and evaluate data sets.
• Analyze the requirements and evaluate technologies for data science capabilities including NLP, ML, Predictive modeling, statistical analysis and hypothesis testing.
• Work with cross-discipline teams to ensure connectivity between various data sources and business problems.
• Identify meaningful insights and interpret and communicate findings and recommendations.
• Maintain awareness of emerging analytics and big-data technologies.
• Serve in a position of leadership over critical objectives where decision-making is of utmost concern to the outcome.
• Drive the business strategy using analytic processes and providing new insights
• Work closely with data scientists, engineers, and other IT professionals to incorporate innovative technologies into the business
• Be a leader and owner of data related to consumer behavior and user experience
• Mentor and/or supervise others.

Skills: Data Analysis, Software Validation, Data Science Technologies, Collaboration, Insight Communication, Analytics Awareness, Strategic Decision-Making, Mentorship

• Work closely with media agencies to analyze front-end media metrics including standard measurement as well as incremental online and cross-channel measurement tools
• Marry the front-end media performance to back-end, Apple-owned measurements including site analytics, conversions, sentiment and owned social channels.
• Develop and implement a set of dashboards to provide data-informed insights as it pertain to creative choices, lengths, targets, investment levels, R&F, etc. to feed into briefs and overall communications planning
• Conduct ad hoc reporting with insightful recommendations
• Partner with the WW data science team to share findings, tests, trends and business insights
• Think creatively about attribution modeling and using unique signals in the findings and recommendations
• Stay ahead of media industry tech changes and new measurement and research tools
• Monitor industry statistics to help define benchmarks and measure performance
• Prepare reports of findings, illustrating data graphically and translating complex findings into executive recaps
• Lead the local geo teams in their reporting priorities and disseminate the insights, knowledge, and technology to local goes leads

Skills: Media Metrics Analysis, Attribution Modeling, Dashboard Development, Ad Hoc Reporting, Data Insights Collaboration, Creative Measurement, Performance Benchmarking, Executive Reporting

• Lead the day-to-day operations of the existing Analytics platform (Tableau + Matillion).
• Collaborate with various technical teams to implement models and monitor results.
• Participate in the Design and development of models, metrics, scorecards, and dashboards by gathering various HR data subjects and transforming them into stories/insights that drive recommendations and decision-making.
• Align and improve the P2P process for releasing new content.
• Manage/participate as the HR Analytics SME on concurrent projects with varying deliverables, priorities and timeframes.
• Collaborate with business stakeholders to identify opportunities to leverage data and statistical methods for valuable solutions.
• Assist in data investigation and exploratory data analysis to simplify and improve product development and business processes.
• Drive the HR organization towards advanced Analytics to discover deeper insights, make predictions, or generate recommendations using ML models (SageMaker).
• Ensure the right security models are in place to secure HR data appropriately.
• Partner with Data Engineers to ensure requirements are communicated accurately and timely.
• Understand the semantic design and its alignment with the data/database.

Skills: Analytics Platform Management, Model Implementation, Data Storytelling, Process Improvement, HR Analytics Expertise, Data Exploration, Advanced Analytics, Security Model Oversight

• Engage with business, structural capturing and understanding D&A demand, and collaborate with stakeholders during the visioning and concept development of a product.
• Work with business PO to support business transformation from legacy D&A solutions into automated Descriptive, Predictive and Prescriptive decision support solutions.
• Act as SPOC for app architecture and the tactical operationalization across the Commercial solutions. 
• Drives the business in maintaining business definitions and data lineage in the Data Catalog.
• Serve as the voice of the Business customer towards Development team/squads. 
• Translate from technical to business, and vice versa and lead the daily stand-ups.
• Develop scope and define backlog items and divide the workload across the Agile development team.
• Solve product related problems, make decisions, and complete trade-off analyses to stay on track toward business deliverable commitments.
• Understand end-to-end data management interactions and dependencies across complex data pipelines and models and how they impact D&A products.
• Develop a scalable delivery team of internal team members and external delivery partners to accelerate the go-to-market of D&A services.
• Co-lead the D&A front-end tool strategy in the Commercial domain in both IT/Digital and Business.
• Identify and help the client understand the D&A and IT business model, value and value proposition.
• Work with Chapter Lead to find the right people to fit the Commercial squad.
• Work with external collaborators to integrate their complementary capabilities into D&A deliveries.

Skills: Stakeholder Engagement, Business Transformation, Data Architecture, Agile Project Management, Product Problem Solving, Data Management Expertise, Team Leadership, Value Proposition Development

• 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.
• Experience with 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.
• 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.
• Possess the ability to evaluate the work of others.
• Excellent interpersonal and communication skills with the ability to engage and manage internal and external stakeholders across all levels of seniority.

Qualifications: BS in Data Science with 11 years of Experience

• Knowledge of an analytical tool (ie R, Python), ETL tools (ie Talend), and a virtualization tool (ie Denodo) or another analytical tool
• Experience working with AWS cloud-native technologies, for example RedShift Spectrum, S3, Athena
• Advanced working SQL knowledge and experience working with a variety of database 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
• Knowledge of Tableau and/or MicroStrategy
• Familiarity with Secondary Mortgage Market and/or Freddie Mac business and operations
• Strong leadership experience in a 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.
• Proven track record serving as lead on major projects and/or programs

Qualifications: BS in Statistics with 9 years of Experience

• Experience working as a Project Lead
• In-depth experience with Microsoft Project, Atlassian Jira and Confluence (or other project management tools, i.e. Service Now, Clarity)
• In-depth experience in Agile methodologies (SDLC, SCRUM, XP, CRISP-DM)
• Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security.
• Proficient in implementing integrations to different systems, and REST APIs and have good knowledge of web requests/protocols.
• Proficient in shell scripting, building modern APIs and reviewing codes and designs.
• People management experience
• Intellectual agility and interpersonal flexibility
• Ability to use data to formulate and flex communications
• Have PMI-ACP, PMI-PMP, CSM Certifications

Qualifications: BS in Computer Science with 7 years of Experience

• Experience in the SAP Data and Analytics domain with setting up data-driven organizations, performing leadership roles on Business Intelligence, Digital and Data Warehouse projects with at least 4 full life-cycle SAP implementations.
• Should have completed at least 2 implementations of S/4HANA including the deployment of Embedded Analytics, BW4HANA or BW-on-HANA 
• An in-depth understanding of CDS views, Smart Data Access, and SAP Fiori applications for Analytics and Reporting.
• Must be an expert in architecting and implementing data warehouse, data lakes, big data, data streaming and ingestion, designing information tiers with hot-warm-cold data, data retention and archiving, data integration platforms, ETL, ELT, predictive analytics, data visualization, operational and management reporting, self-service analysis, etc.
• Experience in leveraging data and analytics capabilities from the cloud platforms, Microsoft Azure preferred.
• Excellent understanding of SAP functional process areas and related data structures in ECC and S/4HANA.
• Participates in multiple design activities with the authority to make independent choices free from supervision.
• Strong communication skills to work internally with end-user departments, management and peers. 
• Demonstrates superior diagnostic ability and proficiency in the use of specialized tools, techniques and procedures. 
• Exhibits strong analytical ability and creativity in developing and integrating an end-to-end solution.
• Strong team leadership skills able to provide leadership and direction to functional team members and business users of the system.

Qualifications: BS in Mathematics with 12 years of Experience

• Extensive programming work experience
• Understanding of digital mobile business (application stores ecosystems & ideally mobile advertising)
• Proven ability to juggle multiple projects with tight deadlines while maintaining attention to detail
• Passionate about new technology
• Working experience with Azure Data Factory/SQL/Power Automate
• In-depth hands-on experience in Python with a focus on Data Engineering, Machine Learning, Natural Language Processing and Statistical Modeling
• Experience working in a worldwide environment and results-oriented
• Ability to handle multiple roles, responsibilities and projects simultaneously
• Ability to understand new products and quickly changing technologies
• Aptitude, creativity, and a preference for working in small, collaborative teams
• Strong business ethics and integrity

Qualifications: BS in Information Technology with 8 years of Experience