Job Summary:

• Obtain source data of customers who have met the inclusion parameters from TEAMS
• Review key fields for accuracy and consistency in conversion specifications
• Create customer lists for data cleansing
• Open DevOps tickets for each data cleansing item attaching a cleansing list
• Hold kick-off meeting with Phase SMEs to review data cleansing
• Hold weekly meetings with Data Cleansers to review progress and facilitate any blockers
• Provide final data cleansing list from DevOps for Audit
• Review imports in TEAMS for inconsistent or missing data
• Review if the issue is a data cleansing or programming effort
• Update the feature ticket in DevOps with issues and create lists for SMEs
• Run reports from PROD to identify inconsistent or missing data

Skills on Resume: 

• Data Acquisition (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Data Cleansing Coordination (Hard Skills)
• DEVOPS Ticket Management (Hard Skills)
• Facilitation and Collaboration (Soft Skills)
• Audit Compliance (Hard Skills)
• Data Analysis (Hard Skills)
• Reporting and Insights (Hard Skills)

Job Summary:

• Use statistical methods to collect and analyze data needed for decision-making.
• Work with other departments including management to create a prioritized list of needs for each business unit
• Identify and recommend new ways to streamline business processes
• Extract and use data to create models that depict trends in the customer base and consumer population.
• Proactively investigates data accuracy trends and recommends alternate data sources to improve business metrics to improve the customer experience.
• Provides ad-hoc reporting and analyses as requested and interprets data to meet the specific needs of stakeholders or functional groups within the Company.
• Determine the most effective ways in which information should be stored for audit purposes in support of Sarbanes-Oxley controls and make sure that controls are in place as it relates to item cost.
• Provides management support in the design, analysis, troubleshooting and quality assurance of current and future data systems by identifying strengths and weaknesses in internal processes and recommends process improvements.
• Assists with testing efforts for current and new data systems, and develops process for creating test conditions to ensure functionality and accuracy of the application.
• Assists with requests to ensure issues are identified, tracked, reported on and resolved in a timely manner.
• Organizes and develops new query templates and reports to be used by Data Integrity Specialists.

Skills on Resume: 

• Statistical Data Analysis (Hard Skills)
• Cross-Department Collaboration (Soft Skills)
• Business Process Improvement (Hard Skills)
• Trend Modeling (Hard Skills)
• Data Accuracy Investigation (Hard Skills)
• Ad-Hoc Reporting (Hard Skills)
• Audit Compliance (Hard Skills)
• Data Systems Testing (Hard Skills)

Job Summary:

• Work with business, application and process owners, and data team members to analyze CCC’s back-end data solutions and play a key role in the Run & Maintain
• Overlook and optimize the ETL schedules and respond adequately in case the data pipeline failed
• First-line Q&A for data lineage-related questions
• Investigate and resolve bug fixes in the back end and ensure the solution/bug fix designed and built can be supported as part of a DevOps model
• Implement small change requests in the back end and ensure the solution designed and built can be supported as part of a DevOps model
• Support testing of new product increments and applying necessary back-end design changes, apply test-driven development principles to automate build and regression testing
• Ensure adherence to development and architecture standards and best practices
• Contribute ideas and/or code that improves core software infrastructure, patterns and standards
• Create or modify design documentation as defined by team development standards, processes, and tools
• Assist in creating documents that ensure consistency in development across Cargill.

Skills on Resume: 

• Data Analysis (Hard Skills)
• ETL Optimization (Hard Skills)
• Data Lineage Support (Hard Skills)
• Bug Resolution (Hard Skills)
• Change Request Implementation (Hard Skills)
• Product Testing Support (Hard Skills)
• Development Standards Adherence (Hard Skills)
• Design Documentation Creation (Hard Skills)

Job Summary:

• Work with business, application and process owners, and data team members to analyze CCC’s front-end data solutions and play a key role in the Run & Maintain
• Overlook and optimize the Tableau Dashboard refreshes and respond adequately in case the data refresh fails, making sure the business has latest availability of information
• Follow-up with data owners in case front-end is impacted by missing master and/or transactional data
• First-line Q&A for Tableau dashboard usage
• Configure and optimize the way the reporting (Tableau / PowerBI) environment for the CCC group consumes data
• Collaborate with front-end developers on back-end requirements, troubleshooting and debugging
• Responsible for providing regular updates on achieved progress, challenges and learnings from the build, run and operations area
• Active participant in the scrum ceremonies
• Capture and enter study data received from the field in a timely and accurate manner, meeting all month-end deadlines
• Serve as primary contact for study data entry questions from inside and outside the organization
• Communicate regularly with field operations regarding study activities

Skills on Resume: 

• Front-End Data Analysis (Hard Skills)
• Tableau Dashboard Optimization (Hard Skills)
• Data Ownership Management (Hard Skills)
• Dashboard Usage Support (Hard Skills)
• Reporting Environment Configuration (Hard Skills)
• Collaboration with Developers (Soft Skills)
• Progress Reporting (Soft Skills)
• Study Data Management (Hard Skills)

Job Summary:

• Daily assessment of the Data Integrity Group's suite of quality control reports, including factor and coupon validation, new issuance Bloomberg checks, missing issuers, asset class sector checks, and security ticker checks.
• Update and recalculate principal and income projections.
• Produce monthly external reporting for the Data Integrity Group.
• Perform daily NRSRO credit ratings reviews and updates.
• Perform daily ESG (Environmental, Social, Governance) ratings reviews and updates.
• Monitor security data flow across the risk management system, the portfolio accounting system, the order management system, the options trading system, and the data warehouse to ensure consistent and accurate information is used across the firm.
• Review and interpret fixed income analytics, identifying and documenting outliers.
• Timely response to queries affecting both the risk management system and the accounting system.
• Update and review fixed-income cash flows, ensuring that the resulting bond analytics are within reasonable expectations of the portfolio trading desk and trading group.
• Consult management on how to develop continued incremental improvement and increased efficiencies across Operations.
• Assist other members of the team with special projects and respond to internal/external ad hoc requests

Skills on Resume: 

• Quality Control Assessment (Hard Skills)
• Financial Projections Updating (Hard Skills)
• External Reporting Production (Hard Skills)
• Credit Rating Review (Hard Skills)
• ESG Ratings Review (Hard Skills)
• Data Flow Monitoring (Hard Skills)
• Fixed Income Analytics Interpretation (Hard Skills)
• Operational Improvement Consultation (Soft Skills)

Job Summary:

• Develop a strong understanding of end-to-end investment management processes, the required data to support these processes, and the data quality and delivery issues that may impact the business on an ongoing basis
• Perform validations on a day-to-day basis and work towards resolving exceptions with data owners and communicating with data subscribers / internal business clients.
• Identify opportunities for data quality improvements, capture requirements and work with GIDS Analysts and assist in implementing strategic data validations
• Work with different data owners, and data custodians and build robust data issue resolution methods and design effective communication plans with data subscribers.
• Monitor automated data quality tools to help identify gaps in the data
• Collaborate closely with developers, capture requirements, test the implemented data quality validations and ensure a smooth transition into BAU
• Provide comprehensive data analysis of all investment data domains and assist in data profiling and implementing data quality rules within the Enterprise data Platform
• Provide and support the implementation of data quality automation solutions by building relationships and partnerships with key business stakeholders
• Determining and carrying out required analysis, recognizing and capitalizing on improvement opportunities and adapting to competing data demands,
• Manage internal departmental relationships and expectations by developing a communication process to keep all data subscribers up to date on data validation results.

Skills on Resume: 

• Investment Management Process Understanding (Hard Skills)
• Data Validation (Hard Skills)
• Data Quality Improvement (Hard Skills)
• Data Issue Resolution (Hard Skills)
• Data Quality Monitoring (Hard Skills)
• Requirement Gathering (Hard Skills)
• Data Analysis (Hard Skills)
• Communication Process Development (Soft Skills)