Job Summary:

• Coordinating the data collection/validation project plan with the project management office
• Coordinating data collection/validation with client, vendor, and internal resources
• Conducting a data collection/validation call explaining the process for client, vendor, and internal resources
• Conducting weekly calls with the internal team guiding them through best practice data collection and validation progress
• Reviewing and validating foundational datasets to gain an intimate understanding of the client data design
• Performing regular analysis and reporting on data collection/validation progress and key metrics
• Auditing, cleaning, and standardization of large data sets including formatting, file combination, field mapping, and gap analysis
• Heavy Excel data manipulation of multiple large data sets
• Practicing best-practice data management including regular backups, data completeness audits, data mapping audits
• Learning an intimate knowledge of VMS data imports in several key VMS (SAP Fieldglass, Beeline, VNDLY, Coupa Contingent Workforce, etc.)

Skills on Resume: 

• Data Coordination (Hard Skills)
• Data Validation (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Data Analysis (Hard Skills)
• Data Auditing (Hard Skills)
• Excel Proficiency (Hard Skills)
• Data Standardization (Hard Skills)

Job Summary:

• Executing rigorous VMS upload testing prior to and after project go-live
• Executing production of multiple VMS uploads
• Performing systematic audits of production data
• Reporting on data gaps and coordinating gap-fill logic
• Coordinates and resolves any missing data/data questions with the client or supplier resources
• Balancing competing priorities of multiple projects with overlapping data collection processes
• Actively contributing to product knowledge through self-study, meeting attendance, and project participation
• Proactively seeking help when required and voicing any data workstream risks
• Participating in corporate strategic initiatives aligned with process improvements or operational efficiencies
• Assist in the collection and consolidation of required information and data

Skills on Resume: 

• VMS Upload Testing (Hard Skills)
• Data Auditing (Hard Skills)
• Data Reporting (Hard Skills)
• Client Coordination (Soft Skills)
• Project Management (Hard Skills)
• Product Knowledge Development (Soft Skills)
• Risk Management (Soft Skills)
• Data Consolidation (Hard Skills)

Job Summary:

• Identifying gaps and inconsistencies with data stored in company systems.
• Gather data from company document content, ESMS data and SMEs.
• Manage Data within Enrichment spreadsheets.
• Manage Data Enrichment within SharePoint.
• Participate in Verification Testing.
• Provide support for data warehousing initiatives and monitor data warehousing system to ensure the reliability and accuracy of information loaded into the databases.
• Analyze the logical and physical database models and ensure models are in accordance with standards.
• Generate and prepare reports to support business objectives.
• Perform analysis and testing of relational databases and investigate any data load failures or data retrieval issues.
• Issue tracking, status reporting, regression testing and data quality verification
• Gathering and prepare functional requirements and Non-functional requirements

Skills on Resume: 

• Data Gap Analysis (Hard Skills)
• Data Management (Hard Skills)
• Data Enrichment (Hard Skills)
• Verification Testing (Hard Skills)
• Database Analysis (Hard Skills)
• Reporting (Hard Skills)
• Issue Tracking (Hard Skills)
• Requirements Gathering (Hard Skills)

Job Summary:

• Perform source system data analysis to map data objects in the legacy ERP system
• Create complex scripts to extra required data from source legacy ERP system
• Compare and transform extracted data within existing target ERP records to match and map identifiers
• Create exception logs and reports to proactively identify errors & mismatched data types
• Facilitate timely data corrections and re-validations
• Document the end-state extraction steps and checks to ensure data migration process is repeatable and tested to ensure a smooth go-live process
• Implemented VillageMD data extraction technologies across multiple EMR systems and multiple vendors
• Increased the portfolio of data pipelines into the VillageMD platform through creative solutions with external partners (migration vendors) and VillageMD engineers
• Created tools and workflows to facilitate data ingestion and delivery projects
• Plan and fully document requirements
• Take up change’s requests
• Perform acceptance testing

Skills on Resume: 

• Data Mapping (Hard Skills)
• Data Extraction Scripting (Hard Skills)
• Data Transformation (Hard Skills)
• Error Identification (Hard Skills)
• Data Validation (Hard Skills)
• Documentation (Hard Skills)
• Change Request Management (Soft Skills)
• Acceptance Testing (Hard Skills)

Job Summary:

• Creating a Data Migration and Conversion Plan and strategy
• Performing data mapping for systems integration, data provisioning, and data consumption
• Documenting metadata, data lineage, data definitions and business glossary entries
• Handling basic data transformation tasks such as date and decimal formatting, rounding of numeric values, and conversion of numeric values to percentages.
• Identifying, analyzing, and interpreting trends or patterns in complex data sets
• Developing ad hoc briefings, charts, data visualizations, meeting materials, etc.
• Identifying and proposing viable technology solutions to meet client needs
• Developing data migration and conversion specifications, test scripts and templates required to complete data conversion activities
• Establishing a process to reconcile and report on converted data

Skills on Resume: 

• Data Migration Planning (Hard Skills)
• Data Mapping (Hard Skills)
• Metadata Documentation (Hard Skills)
• Data Transformation (Hard Skills)
• Data Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Technology Solution Identification (Soft Skills)
• Conversion Specification Development (Hard Skills)

Job Summary:

• Responsible for all aspects of Data Migration, supporting the Data Migration approach.
• Work with the ERP System Integrator, supplier and internal resources to deliver the migration of data from legacy finance systems, onto a new consolidated ERP SaaS System as well as dependent data updates in legacy systems.
• Identify, document and validate data migration scope, risks, constraints, dependencies and assumptions. Ensuring a thorough and controlled documentation process.
• Coordinate the delivery of all aspects of the data migration plan utilising internal and supplier resources.
• Definition of all data requirements for the build, test and cutover project phases.
• Enforce policies for the effective management of data, and the migration of data to the organization’s new ERP system.
• Legacy data identification and mapping from legacy systems to the new system.
• Managing to extract, stage, cleanse, transform and load of the data into the target solution (transactional and master).
• Work with the system integrator to ensure an optimal approach to the upload of legacy data into the new system, together with ensuring a smooth process for the resolution of upload issues.
• Coordinate all aspects of data cleansing, including coordinating BAU resources within the business functions.

Skills on Resume: 

• Data Migration Management (Hard Skills)
• ERP Integration Coordination (Hard Skills)
• Risk and Scope Documentation (Hard Skills)
• Data Requirement Definition (Hard Skills)
• Data Cleansing (Hard Skills)
• Legacy Data Mapping (Hard Skills)
• Data Transformation and Loading (Hard Skills)
• Process Coordination (Soft Skills)

Job Summary:

• Working under the direction of the Data Migration Lead and IT Leadership:
• Work hours that will support UK (GMT) and German (CET) timezones
• Profile legacy ERP source data for accuracy and completeness
• Perform Customer, Vendor, Material Master and GL data cleansing and data enrichment activities to drive data accuracy
• Develop detailed mapping documents among all source-to-target datasets
• Perform ETL activities using ETL tools, as necessary
• Enrich data and metadata, as necessary, potentially requiring joining multiple source datasets, to create a complete set for target loads
• Perform data test loads and production loads
• Provide regular status reports to leadership
• Work with global stakeholders to drive data mapping, process clarification, and data verification activities
• Identify any risks and issues and timely report out to leadership for resolution

Skills on Resume: 

• Data Profiling (Hard Skills)
• Data Cleansing and Enrichment (Hard Skills)
• Mapping Document Development (Hard Skills)
• ETL Execution (Hard Skills)
• Metadata Management (Hard Skills)
• Test and Production Loading (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Risk Identification and Reporting (Soft Skills)