Job Summary:

• Led, scale and developed a team of data researchers who work remotely
• Manage performance regularly (KPI-based operations management), ensuring the production of data in excellent quality
• Mentor and coach team members to ensure the achievement or overachievement of the departmental and individual KPI’s such as Quality, Volume, and project delivery times
• Work alongside other leads and stakeholders to ensure the improvement and development of new and existing processed
• Working with a cost-efficiency mindset
• Improving cost efficiency within the operations department
• Build, administer and support DataOps infrastructure using GitLab and AWS cloud.
• Build, administer and support DataOps CI/CD workflows
• Provide subject matter expertise for developments and operational improvements in the Flybuys Data Platform
• Drive ongoing enhancements to the DataOps framework for data engineering squads.

Skills on Resume:  

• Team Leadership (Soft Skills)
• Performance Management (Soft Skills)
• Mentoring and Coaching (Soft Skills)
• Stakeholder Collaboration (Soft Skills)
• Cost Efficiency (Soft Skills)
• DataOps Infrastructure Management (Hard Skills)
• CI/CD Workflow Management (Hard Skills)
• Data Platform Optimization (Hard Skills)

Job Summary:

• Owning recurring revenue (MRR/ARR) calculations and pipelines.
• Collaborating with team leads across the business to understand and support data needs.
• Design and enact the process for using statistical inference to evaluate the success of changes, from product launches to marketing campaigns.
• Building models to understand and predict things like user growth, future revenue, conversion, churn, and more.
• Build and maintain KPI dashboards that teams rely on for making key decisions.
• Create business cases and develop strategic recommendations for senior executives, and drive and verify change in product and business
• Curate, configure and manage the technology stack used by customers and internal teams.
• Partner with strategic decision-makers in the organization, influence decision-making
• Partner with the finance team to bring analytical rigor to financial reporting, forecasting, and opportunity sizing.
• Investigate data issues, perform deep-dive analysis, propose and execute solutions, and define project requirements for issue resolution.

Skills on Resume: 

• Recurring Revenue Management (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Statistical Inference (Hard Skills)
• Predictive Modeling (Hard Skills)
• KPI Development (Hard Skills)
• Strategic Planning (Soft Skills)
• Technology Management (Hard Skills)
• Analytical Problem Solving (Soft Skills)

Job Summary:

• Support the development of database solutions to store and retrieve data information
• Leads and provides appropriate guidance to other DataOps team members as part of a matrix organizational team setup
• Support and configuration of information systems to ensure functionality
• Create plans to deploy software and provide documentation for various platforms in those areas
• Build, optimize and maintain conceptual and logical database models
• Create conceptual and logical data models and flowcharts required by various groups in the program
• Optimize new and current database systems, and develop documentation for security and backup procedures
• Provide operational support for existing and future Management Information Systems
• Provide training, support, and instruction to various groups in the program
• Articulate and communicate with both business and technical stakeholders around DataOps initiatives.

Skills on Resume: 

• Database Solution Development (Hard Skills)
• Team Leadership (Soft Skills)
• Information Systems Support (Hard Skills)
• Software Deployment Planning (Hard Skills)
• Database Model Optimization (Hard Skills)
• Data Modeling (Hard Skills)
• Operational Support (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary:

• Lead master data management system with a thorough knowledge and understanding of relational databases, data structures and the ability to cleanse, analyze and connect data from multiple sources
• Develop and monitor utilities to ensure supplier catalogs and items are accurate, up to date and exposed to the correct customers
• Manage all functions of the product catalog, including initial upload and periodic updates and any data quality issues
• Execute daily operational activities related to EDI and other interface platforms including mapping, operational monitoring, error handling
• Preparing reports and dashboards for executive leadership that effectively communicate trends, patterns, and predictions using relevant data
• Responsible for the management of daily data operations delivering Data “as a Service” to the entire company and working in close collaboration with the Service Delivery organization to ensure proper support to all big data activities within the company.
• Responsible for the management of daily data operations within the Big Data team.
• Responsible for validation and management of DataSets Access Request end-to-end process auditing of data access and provision of specific reporting for Data Owners consultation
• Responsible for validation and Management of dataset migration requests from dev to test and from test to production of Data Catalog content and Management of Data
• Provide mentorship, coordination, reporting and escalation around DataOps performance, development and processes.

Skills on Resume: 

• Master Data Management (Hard Skills)
• Data Analysis (Hard Skills)
• Catalog Management (Hard Skills)
• EDI Management (Hard Skills)
• Reporting (Hard Skills)
• Data Operations (Hard Skills)
• Access Management (Hard Skills)
• Mentorship (Soft Skills)

Job Summary:

• Support and lead operational data projects as well as assist in the creation, development, and deployment of data platforms for the Tracing Health Program (THP). 
• Respond to the needs of the organization by supporting the development and deployment of applications as well as platforms needed for contact tracing based on the unique technology portfolio of the clients. 
• Respond to the challenges pertaining to the requirements of the clients by supporting the collaborative development of data operations and related dataflows for the clients.
• Lead by example for other DataOps associates by performing data analyses and documenting processes to effectively meet the needs of various clients. 
• Support, anticipate, and assist various departments in making sure data operations are successfully carried out in a timely fashion. 
• Support for the adoption of intelligent systems, and advanced analytic models to improve the communication, integration, and automation of data flows depending on the specific client. 
• Utilize experience in business process improvement to increase efficiencies in data collection, data quality, and data use by utilizing proprietary database management solutions
• Identify and eliminate any process bottlenecks and inconsistencies.
• Assist with CRM (Zendesk Sell) administration.
• Create and maintain documentation on all processes and policies

Skills on Resume: 

• Data Project Management (Hard Skills)
• Application Development (Hard Skills)
• Dataflow Development (Hard Skills)
• Data Analysis (Hard Skills)
• Cross-Department Support (Soft Skills)
• Intelligent Systems Adoption (Hard Skills)
• Business Process Improvement (Hard Skills)
• CRM Administration (Hard Skills)

Job Summary:

• Ensuring an ever-increasing inventory of unique and proprietary data feeds continues to add value and provide novel analysis of stocks, sectors and themes across any region or investment class. 
• Responsible for all aspects of the project lifecycle, from pre-proposal scoping to ongoing discussions and improvements of the data and systems. 
• Promote and maintain a culture of utilizing best-in-class methodologies and tools to execute assignments and improvements at a start-up pace.
• Accountable for the assessment and resolution of any production data issues.
• Responsible for managing data quality & accuracy signals and systems & the day-to-day reporting for both.
• Responsible for data profiling and data mapping initiatives to help make data discoverable and re-usable
• Responsible for reviewing and governing data feeds including access control and distribution
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for solving data-related issues and communicating resolutions with other solution domains
• Responsible for helping users of varying skill sets work with and solve data-related problems.

Skills on Resume: 

• Data Feed Management (Hard Skills)
• Project Lifecycle Management (Hard Skills)
• Methodology Implementation (Soft Skills)
• Data Issue Resolution (Hard Skills)
• Data Quality Management (Hard Skills)
• Data Profiling (Hard Skills)
• Data Governance (Hard Skills)
• Cross-Functional Communication (Soft Skills)