Job Summary:

• Specifically writing reports from EPIC clarity.
• Conduct quality assurance by monitoring and validating the accuracy of reports and taking corrective action to optimize, improve and fine tune queries as business needs dictate. 
• Maintain data quality by investigating and aiding in the remediation of data anomalies
• Fixing ETL procedures to remedy any failed required data checks, investigating the cause of any failed Investigative data checks, and developing a plan to resolve any investigative check errors not caused by source data constraints.
• Responsible for the development and maintenance of internal Standard Operating Procedures and oversight for security and compliance for i2b2/TriNetX and OneFlorida. 
• Write documentation to provide user support training and provide in-person training of end-users on core i2b2/TriNetX and OneFlorida functionalities. 
• Follow policies for giving data access rights to employees and assist with the maintenance of user access. 
• Interact with Management, IT, Compliance, and the University Medical Service Association, Inc. 
• (UMSA) reporting team and specifically the honest brokers for i2b2/TriNetX and OneFlorida.
• Survey data support, product management, and analysis

Skills on Resume: 

• Report Generation (Hard Skills)
• Quality Assurance (Hard Skills)
• ETL Troubleshooting (Hard Skills)
• Data Anomaly Remediation (Hard Skills)
• Standard Operating Procedure Development (Hard Skills)
• User Training (Soft Skills)
• Access Rights Management (Hard Skills)
• Cross-Department Collaboration (Soft Skills)

Job Summary:

• Serve as an HR data expert on projects focused on implementing new HR systems or enhancing existing systems.
• Assist in the review and testing of Workday system upgrades and/or new functionality.
• Maintain organizational hierarchy in Workday including the creation and updates to Supervisory Organizations.
• Provide monthly metrics by exporting reports and transitioning the data into reportable format.
• Act as an additional resource for the Data Management team processing transactional employee life cycle data requests when needed.
• Processing items such as job changes, leave of absence, position management and creating supervisory organization requests when needed.
• Conduct data audits to ensure data alignment between systems and to identify processing or integration anomalies.
• Support high volume changes on employee, position, and organizational data via the creation and loading of Enterprise Interface Builders.
• Assist with testing of integration updates and enhancements.
• Receive direction on client-specific needs and targets during the survey cycle. 

Skills on Resume: 

• HR Systems Expertise (Hard Skills)
• Workday Upgrade Testing (Hard Skills)
• Data Management (Hard Skills)
• Reporting and Metrics Analysis (Hard Skills)
• Employee Lifecycle Processing (Hard Skills)
• Data Auditing (Hard Skills)
• Integration Support (Hard Skills)
• Client Needs Assessment (Soft Skills)

Job Summary:

• Complete verification and validation of compensation data, submissions, and data validation files. 
• Assist with job matching and execute all data-related tasks including cleaning of aggregate data sets.
• Go on the hunt and discover new data to make sense of and continuously improve the claims analytics environment.
• Organize data for use by other analyst roles and business users within Claims.
• Maintain a strong working relationship with Technology teams, supplying raw data and transforming aggregated data to insights.
• Conduct preliminary analyses on data involving basic statistical approaches and provides solutions to treat various data deficiencies to support data integrity and governance.
• Leads and conducts industry, demographic, and other consumer research to understand new data sources and applications of analytics.
• Focuses on innovation and process improvement to promote leading practice and efficiency across the organization.
• Recommend effective data practices to the business that drive positive change behaviors within the organization.
• Support various stakeholders by providing training and coaching on data-driven decision-making from various claims data sources.

Job Summary:

• Data Verification (Hard Skills)
• Job Matching (Hard Skills)
• Data Discovery (Hard Skills)
• Data Organization (Hard Skills)
• Collaboration with Technology Teams (Soft Skills)
• Statistical Analysis (Hard Skills)
• Industry Research (Hard Skills)

Job Summary:

• Receives, inspects, validates, cleanses, transforms, and loads data received in a variety of formats (e.g., Excel, CSV, Proposal XML, text) from disparate sources (e.g., clients, telemarketers, web vendors).
• Manages master data, including creations, updates, and deletions.
• Identifies erroneous or anomalous data and takes action to correct or remove errors in order to restore datasets to reliable levels.
• Evaluate datasets for consistency, completeness, and accuracy.
• Works with vendors and clients to correct problems with data and/or files.
• Interacts with customers and other teams to obtain data requirements for new and existing applications.
• Audits data on a regular basis and ensures data integrity and normalization.
• Performs data management activities in accordance with customer, company, contract, and regulatory requirements.
• Develops and recommends process improvements for data management tasks.
• Proactively addresses issues, questions, and problems in an accurate and timely manner.
• Troubleshoots issues and tracks progress and resolutions logged in the Help Desk software, while providing excellent customer service and timely communication throughout the resolution process.

Skills on Resume: 

• Data Cleansing (Hard Skills)
• Master Data Management (Hard Skills)
• Data Quality Assessment (Hard Skills)
• Error Identification (Hard Skills)
• Vendor Collaboration (Soft Skills)
• Requirements Gathering (Soft Skills)
• Data Auditing (Hard Skills)
• Issue Troubleshooting (Soft Skills)

Job Summary:

• Serve as a subject matter expert (SME) in the master data governance operations for projects and data cleansing and data feed/exception initiatives across areas such as Customer, Product and Supplier, along with the various inputs and outputs of the master data (external 3rd party usage and files received inbound)
• Ensure best business practices are upheld and utilize mass data updates as appropriate
• Utilize analytical skills to identify trends and create strategies to address data quality concerns and enforce standards and increase productivity
• Perform data validation via audit reports to ensure standardization daily, identifying areas of improvement in reporting and process, interface with cross-functional teams to validate adherence to master data policies and communicate non-adherence were appropriate
• Work effectively with divisions to understand key business drivers and enhance data integrity and train on best practices
• Work with external business partners such as vendors and customers to inquire and collect master data
• Partner with business leaders and other IT teams on options to solve business process gaps including business requirements, solution options and approaches.
• Develop new applications, tools and ad hoc/refreshable reports that support root cause analysis or streamline related processes
• Partake in UAT and other system testing to ensure no downstream impacts to the integrity of TriMarks master data and processes

Skills on Resume: 

• Master Data Governance (Hard Skill)
• Data Quality Analysis (Hard Skill)
• Cross-Functional Collaboration (Soft Skill)
• Training and Development (Soft Skill)
• External Data Management (Soft Skill)
• Process Improvement (Hard Skill)
• Application Development (Hard Skill)
• User Acceptance Testing (UAT) (Hard Skill)

Job Summary:

• Create/maintain relevant project documentation throughout SDLC Support Client data strategy development for globally unique identification, data synchronization and commercial,
• Remain current in data quality standards and best practices Support the creation of Data Governance policies, processes, and procedures Support the development of sustainable business processes.
• Incorporate the data quality rules into the BAU process to ensure smooth data.
• Assist with increasing the quality of client data submissions, and to increase clients’ understanding of the survey processes and analysis. 
• Contribute to the participation process documentation. 
• Raise process improvement ideas/innovation to management and support the team’s innovation initiatives.
• Works with the team to define, develop, and document data glossary, sources and definitions for institutional planning.
• Maintains client confidence and protects operations by keeping data & information confidential according to CCPA guidelines.
• Supports the implementation and maintenance of cross-functional and Enterprise solutions
• Manage time effectively in order to meet deadlines across multiple projects
• Create various ad hoc reports and perform analysis

Skills on Resume: 

• Project Documentation Management (Hard Skills)
• Data Strategy Development (Hard Skills)
• Data Quality Standards (Hard Skills)
• Data Governance Support (Hard Skills)
• Business Process Development (Hard Skills)
• Client Data Quality Enhancement (Soft Skills)
• Process Improvement and Innovation (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)

Job Summary:

• Manage and document all data management procedures for all daily tasks, and provide clear direction and next steps of data-related activities.
• Work with relevant senior stakeholders to review data integrity on a regular basis, identifying the accurate validation rules in order to highlight any issues.
• Liaise with the support team and contribute to the testing of current systems or professes to understand existing data-related shortcomings and recommend solutions when applicable.
• Continuously communicate and work alongside relevant teams to ensure all data is attributed and accurately captured and documented.
• Understand the impact of master data changes within Medline’s product life cycle. 
• Anticipate downstream consequences of change on other business areas and systems.
• Communicate and coordinate internally any changes or upcoming initiatives that will require additional data governance, data validations or process improvements
• Establish an audit and resolution process to evaluate existing data
• Serve as a consultant to the product divisions to assist them with gathering data and providing accurate information
• Explore new opportunities with various business partners where IMD can improve processes or access to data. (Product Divisions, Inventory Management, Operations, Quality, etc)
• Preparing and delivering training to business users

Skills on Resume: 

• Data Management Procedures (Hard Skills)
• Data Integrity Review (Hard Skills)
• Testing and Analysis (Hard Skills)
• Cross-Functional Communication (Soft Skills)
• Master Data Impact Analysis (Hard Skills)
• Change Management (Soft Skills)
• Audit and Resolution (Hard Skills)
• Training and Development (Soft Skills)

Job Summary:

• Extracts data and analyzes system inventories to identify data anomalies and ensure accounts are properly coded in PRA systems
• Completes batch updates to PRA systems, pushing anomalies to the appropriate parties for correction and related follow-up actions
• Builds data-driven solution to meet department goals by providing various queries, reports and analyses
• Assists upper level analysts with inventory and data management-related tasks
• Maintains procedural documentation for all supported tasks
• Supports Insolvency Operations, Analytics and Acquisitions through active engagement and communication
• Ensures compliance with applicable laws, regulations and company policies across areas of organizational responsibility
• Planning and coordinating preparation of project documentation, such as CDRLs and program documentation to ensure customer contract requirements are met.
• Coordinating modification records for management control.
• Formatting and proofreading documents.

Skills on Resume: 

• Data Extraction (Hard Skills)
• Data Analysis (Hard Skills)
• Batch Updates (Hard Skills)
• Anomaly Identification (Hard Skills)
• Query Development (Hard Skills)
• Report Generation (Hard Skills)
• Documentation Maintenance (Hard Skills)
• Regulatory Compliance (Hard Skills)

Job Summary:

• Set up and maintain new data entries in the database, such as new clients and portfolio details
• Perform data quality control checks, liaising with Subject Matter Experts (SMEs)
• Carry out exception reporting and resolution tracking
• Develop competence with internal systems and processes
• Support ad hoc data extractions
• Develop and maintain robust processes to ensure data is accurate and meets business needs
• Develop and maintain data aggregations for business information and business development
• Help maintain a data dictionary and act as guardian of the investment data
• Own pricing/valuation data for the Investment Book of Records (IBOR)
• Support the transition of the business to new data management systems and tools
• Have the opportunity to take ownership of projects and processes

Skills on Resume: 

• Database Management (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Exception Reporting (Hard Skills)
• Process Development (Hard Skills)
• Data Extraction Support (Hard Skills)
• Data Aggregation and Analysis (Hard Skills)
• Data Governance (Hard Skills)
• Project Ownership (Soft Skills)

Job Summary:

• Take ownership of data issues, complete complex policy value calculations, remove blockers from policies to allow smooth administration within Group Customer Services,
• Assist the Group in keeping data and values correct by managing the business as usual activity, and analyzing and resolving significant data issues this will deliver an enhanced customer experience.
• Regular and effective engagement with internal business functions, in particular, the other Group Customer Service teams and GTC Support
• Responsible for delivering on Data Management tasks within the agreed timescale
• Contributes to strategy, and positively challenges peer group to find more efficient ways of working.
• Assist with the documentation of processes
• Develop technical expertise and collaboration within the team and across the Investments business
• Investigating and developing remediation plans for data quality issues Interface with business partners on their data needs, and requirements for new data requests, track and prioritize changes 
• Drive consistency of CounterpartyClient data for Treasury consumption 
• Assist team with data analysis and ensure quality of outputs Continuously refine output of Value Added Process Transformation to improve accuracy 

Skills on Resume: 

• Data Issue Ownership (Hard Skills)
• Policy Value Calculation (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Data Management Expertise (Hard Skills)
• Process Documentation (Hard Skills)
• Remediation Planning (Hard Skills)
• Data Consistency Assurance (Hard Skills)
• Continuous Improvement Mindset (Soft Skills)

Job Summary:

• Conduct daily/weekly/monthly interface exception handling and resolve any failed records.
• Maintain nonstandard object libraries within the database/ business process architecture repository.
• Standing up Management Information System (MIS) for large enterprise-wide capabilities.
• Responsible for managing data across multiple platforms.
• Responsible for reporting and analytics.
• Responsible for master data management.
• Prior experience in data management and data governance.
• Responsible for building dashboards and management reporting.
• Natural language processing (NLP) and machine learning.
• Responsible for building plans & forecasts.

Skills on Resume: 

• Interface Exception Handling (Hard Skills)
• Database Management (Hard Skills)
• Management Information Systems (MIS) (Hard Skills)
• Cross-Platform Data Management (Hard Skills)
• Reporting and Analytics (Hard Skills)
• Master Data Management (MDM) (Hard Skills)
• Data Governance (Hard Skills)
• Dashboard Development (Hard Skills)

Job Summary:

• Provide input to establish best practices for data ownership, documentation and policy compliance
• Assist in the creation and maintenance of the glossary of technical and business data definitions
• Facilitate the documentation of data lineage of critical data artifacts
• Implement suitable data quality measures
• Apply data quality metrics, and monitor data quality issues
• Suggest best practices for all areas of data governance and quality
• Engage with a wide range of stakeholders
• Create SQL scripts and conduct user acceptance testing on new data requests 
• Support Treasury Data Management Enterprise Data Incident Management process 
• Collaborate across stakeholders including business reporting, product-specific data stewards, tech partners, upstream data providers management, and risk compliance Identify, review, and evaluate potential upstream systems to determine data sourcing strategy 

Skills on Resume: 

• Data Governance Expertise (Hard Skills)
• Data Documentation Management (Hard Skills)
• Data Lineage Documentation (Hard Skills)
• Data Quality Implementation (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• SQL Scripting Proficiency (Hard Skills)
• Enterprise Data Management Support (Hard Skills)
• Data Sourcing Strategy Evaluation (Hard Skills)