Job Summary:

• Analyse, shape, and help prioritize requirements as well as ensure they are implemented within the current budget, schedule, and environment constraints.
• Research and document critical vendor graphs and provide guidance and solutions to development team members on how to meet business requirements.
• Implement, maintain and support data technology architectures, design principles to ensure that they are aligned with business objectives.
• Perform discovery, analysis, and reporting on a snapshot of data in a one-off, stand-alone fashion.
• Perform both technical and non-technical designs that are aligned with best practices for data architecture.
• Implement design principles and standards with inclusive guidelines for detailed design and developments to deliver the intended capabilities
• Work closely with the business product and development teams.
• Understanding of the business requirements with resources, structures and analyze metrics by measure effectiveness of the development with high return of investment goal.

Skills on Resume: 

• Requirements Analysis (Hard Skills)
• Vendor Management (Soft Skills)
• Data Technology Architecture (Hard Skills)
• Data Analysis and Reporting (Hard Skills)
• Design Skills (Hard Skills)
• Implementation of Design Principles (Hard Skills)
• Collaboration (Soft Skills)
• Business Understanding and ROI Analysis (Hard Skills)

Job Summary:

• Implement best practices as a knowledge expert in enterprise data management and analytics strategies, such as data modeling, data standards management and governance, data warehousing, and data analytics principles
• Responsible for defining, maintaining and ensuring the data management standards, data management governance, and information flow across systems
• Senior resource when helping non-technical audiences understand the importance of data, data management and enabling value creation via data analytics
• Assist with high priority projects that require data analysis service at the enterprise level
• Selecting appropriate technologies to meet business analytics requirements using open source, commercial on-premises, and cloud-based offerings available
• Monitor analytics platforms to help ensure compliance with enterprise security, reliability and stability requirements, and ensure these platforms perform adequately as additional analytics solutions are implemented
• Data modelling and data architecture design and implementation
• ETL, data integration, and data migration design and implementation
• Master data management systems as well as process design and implementation
• Data quality system as well as process design and implementation

Skills on Resume: 

• Expertise in Enterprise Data Management and Analytics Strategies (Hard Skills)
• Data Management Standards and Governance (Hard Skills)
• Communication with Non-Technical Audiences (Soft Skills)
• Data Analysis at Enterprise Level (Hard Skills)
• Technology Selection and Implementation (Hard Skills)
• Monitoring and Compliance (Hard Skills)
• Data Modeling and Architecture Design (Hard Skills)
• ETL, Data Integration, and Migration (Hard Skills)

Job Summary:

• Administer analytics platform
• Setup tags to capture customer behavioral data from websites
• Write specifications to guide developers to push dataLayer events effectively
• Provide QA on the data being captured
• Collaborate with peers to ensure the setup is consistent and can be integrated effectively with similar platforms
• Resolve technical tracking issues identified on website analytics platforms
• Define measurement strategies 
• Measure, understand and optimize the online customer experience
• Partner with products and customer success leads to define business requirements
• Architect digital analytics solutions through a standard, universal lens across all lines of business, with additional focus on reliability and scalability
• Maximize the value of the data collected 
• Setup self-serve dashboards
• Translate business stakeholder needs into actionable analyses
• Create reliable and trustworthy datasets and analyses to build stakeholder relationships

Skills on Resume: 

• Analytics Platform Administration (Hard Skills)
• Tagging for Customer Behavioral Data Capture (Hard Skills)
• Writing Specifications for DataLayer Events (Hard Skills)
• Quality Assurance (QA) on Captured Data (Hard Skills)
• Collaboration with Peers for Integration (Soft Skills)
• Technical Issue Resolution (Hard Skills)
• Measurement Strategy Definition (Hard Skills)
• Online Customer Experience Optimization (Hard Skills)

Job Summary:

• Drive the planning and execution of a wide variety of analytic technology solutions. 
• Solution roadmaps for use cases’ analytic technology capabilities across product teams, and acts as a key enabler of these solutions. 
• Ensure alignment between product teams and technology teams and drive the successful execution of analytic solutions.
• Drive the analysis of business analytical needs and creates a roadmap for phased delivery of the analytic technology solutions
• Lead the analytic technology capability discussions with product teams as it related to their use cases
• Collaborate with the technology teams for determining the feasibility of solutions and timelines
• Own and evolve use case analytic technology capabilities roadmap
• Define value for the use case specific analytic technology capabilities, and prioritizing them based on value
• Own communicating impacts, dependencies risks, etc. between product teams and technology teams as it relates to the use case specific analytic technology capabilities roadmap
• Identify synergy opportunities between analytic solutions being developed across use cases

Skills on Resume: 

• Strategic Planning for Analytic Technology Solutions (Hard Skills)
• Roadmap Development for Analytic Technology Use Cases (Hard Skills)
• Cross-Functional Alignment Facilitation (Soft Skills)
• Business Needs Analysis (Hard Skills)
• Stakeholder Engagement and Leadership (Soft Skills)
• Collaboration with Technology Teams (Soft Skills)
• Roadmap Ownership and Evolution (Hard Skills)
• Value Definition and Prioritization (Hard Skills)

Job Summary:

• Work together with IT Analytics leadership to develop sustainable hybrid Data Warehouse Platform vision, strategy and roadmap.
• Collaborate with internal customers (i.e. functional/subject matter experts and/or end users) in various departments to build knowledge regarding their specific business area, unique processes, and operational data needed to support business objectives.
• Educate the business and promote best practices on how to leverage BI and analytics solutions, as well as help facilitate discussions to anticipate future needs and opportunities.
• Ensure high-performance access to diverse data sources in hybrid data warehouse environments
• Establish standards for technology and business processes
• Develop, manage, and update data models, including physical and logical models of the data warehouse, and data mart
• Direct complex team projects to ensure high quality and timely results
• Project teams may consist of IT (Information Technologies) employees, functional experts/ end-users from various internal departments, external consultants, and/or vendors

Skills on Resume: 

• Data Warehouse Platform Development (Hard Skills)
• Stakeholder Collaboration and Engagement (Soft Skills)
• Business Intelligence and Analytics Advocacy (Soft Skills)
• Data Integration and Access Optimization (Hard Skills)
• Standardization and Governance (Hard Skills)
• Data Modeling and Management (Hard Skills)
• Project Management Leadership (Soft Skills)
• Problem-Solving and Decision-Making (Soft Skills)

Job Summary:

• Serve as an interface and partner to functional experts including external agencies, Digital Marketing and IT partners
• Oversee tagging implementation and configuration of Tealium
• Validate, monitor and troubleshoot tagging & tracking issues as they occur, communicating status/next steps until resolution with all relevant stakeholders
• Research data discrepancies and provide insights/solutions
• Educate reporting, digital marketing, and data science teams on the data collected
• Understand data architecture and data sources used within reporting dashboards
• Create and maintain tagging and testing documentation
• Manage administration and governance of Google Analytics
• Has worked in an environment similar to an agency where they are reporting to multiple stakeholders on a regular basis is desired
• Quality control and is exactingly detail oriented. 
• Debugging and providing quality assurance to analytics implementations, leveraging tools like Omnibug and Adobe Experience Cloud Debugger. 
• Testing & optimization tools such as Adobe Target, Google Optimize, Optimizely are desired

Skills on Resume: 

• Tag Management Systems Expertise (Hard Skills)
• Problem-Solving and Troubleshooting (Hard Skills)
• Data Analysis and Insights (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Educational Proficiency (Soft Skills)
• Data Architecture Knowledge (Hard Skills)
• Documentation and Governance (Hard Skills)
• Quality Control and Attention to Detail (Soft Skills)

Job Summary:

• Working with our Clients to develop appropriate strategies and architectures for their analytics tools to help them meet their business and marketing goals.  
• Identifying key data items within this strategy, develop optimal tagging structures for collecting and analyzing these data items with the goal of providing maximum actionable insights. 
• Bridging the gap between non-technical and technical stakeholders.
• Translating sometimes vague business and marketing requirements into clearly defined technical specifications for both internal and external engineering teams.  
• Assisting our Clients with the implementation of these strategies within their marketing platforms. 
• Collaborating internally to ensure that deliverable schedules are met, and proactively communicating directly with Client stakeholders to set and manage expectations. 
• Working closely with analysts to analyze reports to ensure and optimize the validity and reliability of these insights. 
• Partnering internally with other departments to ensure a high level of knowledge and commitment to the Analytics & Optimization service offerings. 
• Assist with business development and process improvement
• Staying on top of the latest industry best practices, trends, and offerings to share both internally and externally. 
• Drive to be in Client-oriented environments where above-average communication, collaborative, critical thinking, active listening, and project management skills are a given
• Revel in the fast pace of a nimble digital agency that demands outstanding deliverables while rising to the ever-evolving challenges of the digital space. 
• Experience with tag management platforms such as Adobe Launch, Tealium iQ, Google Tag Manager, etc. 

Skills on Resume: 

• Strategic Analytics and Architecture Development (Hard Skills)
• Data Identification and Tagging Structure Development (Hard Skills)
• Stakeholder Management (Soft Skills)
• Implementation Assistance (Hard Skills)
• Project Management and Collaboration (Soft Skills)
• Internal Knowledge Sharing and Partnership (Soft Skills)
• Business Development and Process Improvement (Soft Skills)
• Continuous Learning and Adaptability (Soft Skills)

Job Summary:

• Provide technical thought leadership and solution expertise around emerging Big Data & Analytics technologies
• Conduct industry research, monitor trends and evaluate new methodologies, technologies and tools.
• Provide architectural and security guidance and support to technology stacks related to reporting, big data and analytics
• Mentor teammates at all levels, fostering an innovative environment where technical excellence, reliability, and measurability is nurtured.
• Work with IT Leaders and peers to drive and prioritize analytics opportunities with stakeholders.
• Proactively recommend improvements in the data and analytics space 
• New approaches to address potential systemic pain points and technical debt.
• Ownership of the analytics roadmap, including developing a platform for our customers to share anonymized outcome data with each other
• Enhance data logging and analytics infrastructure
• Ensure customer success through continuously evolving views into utilization
• Designing and expanding a set of standardized reports & data visualizations for each customer
• Ensure data integrity through the entire pipeline, through an expert level understanding of EHR data, principally from Epic and Cerner healthcare systems
• Troubleshooting data integrity issues as they arise
• Database and schema design, ability to anticipate the likely data narratives 

Skills on Resume: 

• Technical Thought Leadership (Hard Skills)
• Industry Research and Trend Monitoring (Hard Skills)
• Architectural and Security Guidance (Hard Skills)
• Mentorship and Team Development (Soft Skills)
• Stakeholder Engagement and Prioritization (Soft Skills)
• Proactive Improvement Recommendations (Soft Skills)
• Roadmap Ownership and Platform Development (Hard Skills)
• Data Integrity and Database Design (Hard Skills)

Job Summary:

• Lead a team of developers to implement and deliver new optimizations that will improve the performance of the analytic engine.
• Analyze the software requirements and software elements for system design.
• Contribute to software development at the product or platform level.
• Take charge of the design and code writing for a specific cross-sub-system or codes of key algorithms.
• Responsible for the architecture to ensure scalability and robustness.
• Participate in different open source and standard meetings to present solutions
• Define and create analytic models for customers in the Industry domain. 
• Develop a thorough understanding of customer's business challenges to proactively recommend analyses that can deliver results for the customers
• Design the architecture and the analytics pipelines while taking into account appropriate time frames and costs.
• Define strategy to develop predictive modelling and anomaly detection solutions
• Develop custom data models and algorithms to apply to data sets
• Contribute the technical road mapping for the team
• Coordinate with different functional teams to implement models, processes, monitoring of data accuracy and outcomes

Skills on Resume: 

• Team Leadership and Management (Soft Skills)
• Software Requirements Analysis (Hard Skills)
• Software Development (Hard Skills)
• Design and Coding (Hard Skills)
• Scalable and Robust Architecture (Hard Skills)
• Engagement in Open Source and Standard Meetings (Soft Skills)
• Analytic Modeling (Hard Skills)
• Customer Relationship Management (Soft Skills)

Job Summary:

• Architect and build data platform and data analytics solutions on-premises and in the Microsoft Azure cloud
• Define strategies and architectural designs to leverage modern on-premises, cloud and hybrid data platforms
• Formulate implementation and migration roadmaps and lead technology adoption initiatives
• Advise clients on the selection of appropriate data platforms, data repositories, data integration tools
• Apply deep knowledge of capabilities and limitations of on-prem and cloud-based data technologies 
• Architect efficient, scalable, flexible and highly available solutions
• Design data models for complex transaction-processing and analytical workloads
• Perform architectural assessments of existing data warehousing and business intelligence environments
• Articulate the benefits and limitations of each architecture option
• Perform end-to-end hands-on development, deployment and administration activities for data platform and data analytics solutions.
• Mentored clients and team members in the implementation of databases, data warehouses, data lakes, data integration processes, and business analytics solutions.
• Assist sales teams in defining and estimating proposals and statements of work

Skills on Resume: 

• Data Platform Architecture (Hard Skills)
• Cloud Computing (Hard Skills)
• Strategic Planning (Soft Skills)
• Technology Roadmapping (Hard Skills)
• Consulting and Advisory (Soft Skills)
• Knowledge of Data Technologies (Hard Skills)
• Data Modeling (Hard Skills)
• Technical Assessment (Hard Skills)