Job Summary:

• Performing testing in various environments
• Supporting product and other teams to deliver milestones relating to onboarding or changes
• Ensuring the quality of rates and data set up in systems is of high standard
• Translating business requirements into test cases for UAT and PVT
• Creating and maintaining testing documentation
• Undertaking detailed data quality reviews for banking products, particularly home loans
• Determining accurate reporting information with a high degree of attention to detail
• Documenting supporting evidence for conclusions reached
• Arranging source system updates for data quality remediation
• Communicating progress against weekly volumes of data quality reviews
• Escalating problems to management and governance teams 

Skills on Resume:

• Testing Execution (Hard Skills)
• Milestone Support (Soft Skills)
• Quality Assurance (Hard Skills)
• Test Development (Hard Skills)
• Documentation Maintenance (Hard Skills)
• Data Review (Hard Skills)
• Accuracy Reporting (Hard Skills)
• Issue Escalation (Soft Skills)

Job Summary:

• Provide professional and courteous communication to all customers at all times. 
• Assist with developing specific Departmental goals, standards and objectives which directly support the strategic plan and vision of the organization. 
• Understand business needs and translate them into application and operational requirements 
• Provide direction guidance on what is considered best practices for reporting solutions 
• Maintain accurate data in ITS applications for ITS KPI reporting 
• Create graphs reports presentations of findings 
• Assist in the development of Quality Management procedures 
• Develop process documentation 
• Develop standard report templates for consistency in data analysis 
• Provide user specific ad hoc reporting 
• Understand record retention requirements and ensure compliance 

Skills on Resume:

• Customer Communication (Soft Skills)
• Strategic Planning (Soft Skills)
• Requirements Translation (Hard Skills)
• Best Practices Guidance (Soft Skills)
• Data Maintenance (Hard Skills)
• Report Creation (Hard Skills)
• Quality Procedures (Hard Skills)
• Compliance Assurance (Hard Skills)

Job Summary:

• Interpret data, analyze results, and provide ongoing reports 
• Discover and correct data issues and analyze data for duplicates errors 
• Review data sets for trends patterns 
• Work closely with cross functional teams to understand business requirements 
• Analyze requirements to better understand systems and processes 
• Obtain and thoroughly apply relevant information from international sources 
• Serve as a liaison to other departments, staff, and customers 
• Test systems to ensure all applications are up to date with the most current information 
• Analyze and solve issues with current systems 
• Maintain the data systems for projects and other processes 
• Audit databases following official Departmental guidelines and regulatory requirements 

Skills on Resume:

• Data Analysis (Hard Skills)
• Data Correction (Hard Skills)
• Trend Analysis (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Requirements Analysis (Hard Skills)
• Information Application (Hard Skills)
• Department Liaison (Soft Skills)
• System Testing (Hard Skills)

Job Summary:

• Product of regular and ad hoc data quality reporting.
• Analysis of data to investigate and diagnose data gaps.
• Coding to build new data quality reporting dashboards.
• Promote best practice, acting as a point of reference for data quality matters.
• Develop and maintain appropriate documentation in relation to data quality activities.
• Design, implement and perform administration functions for Informatica Data Quality (IDQ)
• Manage backup and recovery of the domain metadata and appropriate shared file directories
• Build underlying data staging to support the use of the data quality tools
• Create and monitor data quality reports using the data quality tool
• Refresh reports and identify gaps in meeting thresholds
• Triage the data findings and work with Data Stewards to identify root cause and assigns remediation
• Triage the DQ findings for systems related causes
• Log and track issue remediation activities and create issue tracking reports and provides updates

Skills on Resume:

• Quality Reporting (Hard Skills)
• Data Analysis (Hard Skills)
• Dashboard Coding (Hard Skills)
• Best Practice Promotion (Soft Skills)
• Documentation Development (Hard Skills)
• Informatica Administration (Hard Skills)
• Data Staging Build (Hard Skills)
• Issue Remediation (Hard Skills)

Job Summary:

• Build close relationships with business partners, defining new business rules, ensuring existing rules remain optimum
• Collaborate with the business to defining common data standards & definitions. Ensure these are maintained
• Creation of reporting for data KRI and roadmap success
• Pro-actively investigate areas of non-conformance to set standards
• Work closely with engineers & external parties to resolve issues swiftly
• Represent the Data Quality team in incidents process & Investigation of data quality issues identified as part of this process
• Support the successful delivery of the Data Governance Roadmap, taking the lead on projects as appropriate, offering guidance and advice tailored to each project
• Supporting the business with day-to-day advice on best practice for Data Quality & Data Management principles 
• Analysis of the patterns during manual operations
• Checking the available information on the internet and/or with Sales Reps

Skills on Resume:

• Relationship Building (Soft Skills)
• Data Standardization (Hard Skills)
• KRI Reporting (Hard Skills)
• Conformance Investigation (Hard Skills)
• Issue Resolution (Hard Skills)
• Quality Representation (Soft Skills)
• Governance Leadership (Soft Skills)
• Data Management Advice (Soft Skills)

Job Summary:

• Provide users with a high quality, personalized level of support by phone and (primarily) email daily.
• Review application and data issues submitted by the customer and provide efficient responses
• Work with the IT teams to understand the root cause for application/data issues
• Perform analytics on discrepancies and issues and perform root cause analysis
• Conduct quality assessments, trend analysis and provide management reporting on support metrics
• Identify opportunities for system and application improvements to enhance the customer experience
• Assist in the Quality Testing of new system functionality
• Gain the respect of the customer and become a trusted partner

Skills on Resume:

• User Support (Soft Skills)
• Issue Review (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Analytics Performance (Hard Skills)
• Trend Analysis (Hard Skills)
• System Improvement (Hard Skills)
• Quality Testing (Hard Skills)
• Customer Partnership (Soft Skills)

Job Summary:

• Support the Data Insight & Intelligence Manager and broader Business stakeholders to understand and manage data as a strategic asset, ensuring alignment to data governance, data quality and other controls to sustain the integrity of data for the organisation.
• Own & embed overall data quality culture and thinking within CBAFL.
• Work with the CBAFL Executive Team, business stakeholders and broader bank stakeholders to identify critical data elements and put in place supporting Data Dictionary to keep track of data assets and their definition, attributes, usage, location and ownership within the CBAFL business.
• Responsible for the definition of data related policies, standards and metrics, including maintaining data definitions, lineage, & Data Quality rules.
• Defining and implementing processes to measure, monitor, and report on data quality levels using AFL data quality tools.
• Identifying and advocating for opportunities to improve the quality of data, through changes to processes and systems and engaging in activities that measurably improve the quality of data based on data consumer requirements
• Proactively encourage and support the business stakeholders to analyse and embed data quality improvements & data cleansing for areas identified as outside of data standards.
• Ensure alignment between the AFL and Bank policies and standards and prepare appropriate inputs & reports on AFL data quality at various data related bodies.
• Responsible for the management of the data quality and responsible for escalation to the relevant committee, through attendance at AFL Data Governance forums and presenting appropriate Reports regarding Data Quality & mitigations being undertaken to improve Data Quality metrics.

Skills on Resume:

• Data Governance (Hard Skills)
• Quality Advocacy (Soft Skills)
• Stakeholder Collaboration (Soft Skills)
• Quality Analysis (Hard Skills)
• Policy Definition (Hard Skills)
• Metrics Reporting (Hard Skills)
• Process Improvement (Hard Skills)
• Quality Management (Hard Skills)

Job Summary:

• Design and develop test strategy and test cases
• Gather information from disparate systems to resolve problems
• Work with Business Analysts, SQL Developers, ETL and Data Warehouse Engineers to review technical requirements and produce test strategies, test scenarios, and test cases to validate code that generates data in reports and dashboards
• Write, execute and debug SQL queries to confirm data completeness, correctness, data transformation and data quality testing
• Document and maintain content and structure of all testing documents / artifacts
• Lead distributed testing efforts
• Collect and define business requirements related to the implementation of an enterprise Data Governance program.
• Guarantee the data governance processes, with a main focus on data quality
• Support the design, validation and integration of the data architecture in collaboration with Data Architects and Technical Data Analysts.
• Assess and analyse the existing data governance framework, propose improvements, synergies and potential evolutions with issues, pros/cons, risks and plan
• Ensure controls are in place over applications to ensure the high quality and coordinate the resolution of the issues by working with the business owners and the development teams within and outside the organization

Skills on Resume:

• Test Strategy Design (Hard Skills)
• Data Problem Solving (Hard Skills)
• Technical Collaboration (Soft Skills)
• SQL Testing (Hard Skills)
• Documentation Maintenance (Hard Skills)
• Testing Leadership (Soft Skills)
• Data Governance Support (Hard Skills)
• Quality Assurance (Hard Skills)

Job Summary:

• Drive Data quality improvement within the Ocado Retail Data Asset.
• Support the data governance programme (and associated data governance council) through detailed data analysis.
• Work as part of distributed Data Management team (Perm/Contract/Partner – Onshore/Offshore) to build and maintain Enterprise Data Warehouse and Data Marts.
• Builds tools and dashboards to monitor quality and provide alerts to all data users.
• Manage, monitor, assess, resolve data quality issues with EDW, Data Marts and reporting solutions.
• Document changes and manage work requests for data engineering remediation of quality issues
• Answer business questions about data, be the bridge between data and Insight.
• Assess and profile new data sources to provide input to integration design
• Maintains business glossary and data dictionary, continuously evolving the documentation of data assets to drive common understanding and aid data democratization
• Collaborate with business users and analysts to capture business rules and data quality rules
• Follow agreed standards and processes to ensure the value of data initiatives can be realised in a compliant and controlled manner, ensuring quality, consistency, and safety of the data we work with while protecting customers' privacy.
• Maintain enterprise data model in line with data quality deliverables

Skills on Resume:

• Quality Improvement (Hard Skills)
• Governance Support (Hard Skills)
• Data Warehousing (Hard Skills)
• Dashboard Development (Hard Skills)
• Issue Management (Hard Skills)
• Data Documentation (Hard Skills)
• Business Liaison (Soft Skills)
• Data Profiling (Hard Skills)

Job Summary:

• Perform risk assessments on the impact of control gaps and propose new controls or enhancements to existing ones that cover all Key Business Elements and contribute to obtaining a high level of Data Quality.
• Support in the root cause analysis of Data Quality issues.
• Assess the correct implementation of IT controls by analysing programming scripts.
• Support in the definition and implementation of a Data Governance Framework, incorporating the Data Quality Framework as a key element
• Identify risks within data platform projects and develop plans to eliminate, control, or monitor them.
• Make recommendations that add value to the business area or process under review, including amendments to data policies and procedures.
• Ensuring that controls executed by various control owners are performed timely and are effectively documented to meet internal control standards / requirements as per the Risk and Control Matrix Operating Model.
• Provide subject matter expertise to the BI & Analytics department, Information Security department, and the Risk and Control team on control design, implementation, execution, and standardisation.

Skills on Resume:

• Risk Assessment (Hard Skills)
• Root Cause Analysis (Hard Skills)
• IT Controls Assessment (Hard Skills)
• Governance Implementation (Hard Skills)
• Risk Management (Hard Skills)
• Policy Recommendation (Soft Skills)
• Control Documentation (Hard Skills)
• Subject Matter Expertise (Hard Skills)

Job Summary:

• Documenting LightHouse Data Quality Platform infrastructure and processes
• Creating attractive training materials for LightHouse Data Quality Platform users and stakeholders
• Support LightHouse Data Quality Platform and Operations Team in BAU tasks and processes
• Development, troubleshooting, and bug fixing of LightHouse Data Quality Tableau Scorecards
• Development, troubleshooting, and bug fixing of other LightHouse Data Quality operational tools (Python, SQL, ETLs, Informatica)
• Address any Platform issues with appropriate level of urgency and perform the analysis and troubleshooting effort 
• Follow business needs and technical requirements
• Document all task work in DQ tickets. 
• Resolve Data Quality Help Desk in a timely manner.
• Participate in Daily Scrum meetings on behalf to report progress, roadblocks and daily plans.

Skills on Resume:

• Documentation Management (Hard Skills)
• Material Creation (Soft Skills)
• Operational Support (Hard Skills)
• Tableau Development (Hard Skills)
• Tool Troubleshooting (Hard Skills)
• Issue Resolution (Hard Skills)
• Requirement Analysis (Hard Skills)
• Scrum Participation (Soft Skills)

Job Summary:

• Develop strong relationships with field personnel, provide excellent customer service in support of the Kiewit business units
• Effectively communicate with management to discuss improvement opportunities, define risk and develop strategy
• Coordinate cross-functional efforts between multiple Kiewit teams to ensure superior service and data quality
• Provide requirements and technical background data for data quality efforts
• Support all enhancements to the systems directly impacting the team
• Understand and follow processes, procedures and internal controls
• Support and participate in collaboration activities to promote and implement continuous process improvement
• Proactively search for ways to automate, improve, and streamline processes build team collaboration and add value for customers 
• Conduct detailed analyses using MS Excel, using functions including but not limited to tools and data management, pivot tables, formulas (i.e., VLOOKUPs, SUMIFs, INDEXs) 
• Write basic SQL programs and modify existing programs for data extraction 

Skills on Resume:

• Relationship Building (Soft Skills)
• Strategic Communication (Soft Skills)
• Cross-Functional Coordination (Soft Skills)
• Data Quality Support (Hard Skills)
• System Enhancement (Hard Skills)
• Process Adherence (Hard Skills)
• Process Improvement (Hard Skills)
• Data Analysis (Hard Skills)

Job Summary:

• Utilize data profiling and assessment capabilities to elevate the maturity of data quality
• Support the implemention of policies and procedures used to establish strong data quality practices
• Meeting business needs and balancing quality of data with risk and cost
• Actively participate in the implementation of the EDG & DQ strategy, management and adherence to Data Quality Management concepts and behaviors across data and analytics solutions. 
• Utilize knowledge of data needs/requirements and continually expand business understanding as work to determine effective solutions to data quality challenges
• Partner with Data Governance coaches to execute data quality priorities and ensure proper controls are established as well as activating the intake process for issue / changes related to new quality requirements
• Collaborate as a data governance data quality resource with key partners and the business to understand requirements and find creative and flexible solutions to resolve problems
• Work to elevate greater understanding across the data and analytics and business communities of the role of data governance and the importance of data quality management
• Engage with the industry to learn about best practices, gain insightful competitive and regulatory intelligence to help in building excellence in governance initiatives
• Working closely with the data stewards and data operations, to implement department-specific data quality monitoring controls, driving data defect remediation, front end controls and data movement controls for all data domains. 
• Work with businesses and technology to gather, synthesize and organize information into meaningful and actionable requirements or other deliverables.

Skills on Resume:

• Data Profiling (Hard Skills)
• Policy Support (Hard Skills)
• Strategy Implementation (Soft Skills)
• Data Collaboration (Soft Skills)
• Governance Partnership (Soft Skills)
• Solution Development (Soft Skills)
• Industry Engagement (Soft Skills)
• Quality Monitoring (Hard Skills)

Job Summary:

• Perform deep dives of existing SQL Server ETL processes and tables to identify source of DQ issues (both actual and potential) and suggest or develop solutions.
• Design, develop and implement automated reconciliation and alerting routines using SQL Server T-SQL (and/or SSIS), both enterprise-wide, and system-specific.
• Manage work within Agile project management framework to plan, prioritise and review 
• Manage data dictionaries and business glossaries within in-house Data Governance tool, with definitions, ranges, lists of values & examples etc., making sure that where applicable definitions are mapped to group and corporate definitions.
• Design a series of Power BI data quality dashboards and set their periodicity, granularity and distribution.
• Collaborate with development and testing functions to ensure DQ is built into new developments.
• Design, implement, and maintain a framework for reference data management.
• Define and manage data lineage across various business functions.
• Manage and help identify new business critical metrics that have business impact.
• Define and manage business, technical, functional, and enterprise quality metrics.
• Assess requirements' fitness of purpose and adherence to business objectives and consistency (challenging positively as appropriate).
• Liaise with partners/suppliers to understand the source data and availability to perform gap analyses.
• Collaborate with other developers plus reporting analysts to identify problems and implement solutions.
• Work closely with key insurance business stakeholders to accurately define requirements for all the above, at the lowest level of detail.
• Create and maintain appropriate documentation for the key processes (incl. Data Governance, Data Quality, Data Lineage, Reconciliation etc.).

Skills on Resume:

• ETL Process Review (Hard Skills)
• SQL Automation (Hard Skills)
• Agile Management (Soft Skills)
• Glossary Management (Hard Skills)
• Dashboard Design (Hard Skills)
• Data Quality Integration (Hard Skills)
• Reference Data Framework (Hard Skills)
• Metrics Management (Hard Skills)

Job Summary:

• Understand EDM Data Governance Operating model, Data Quality Framework and Metadata Framework
• Understand platform functionality and how it can enable the above
• Perform research and analysis to build prototypes and proof of concepts for new requirements or leveraging new functionality
• Demonstrate and explain findings and results to the team or other stakeholders
• Assist or help with Platform Upgrade testing and validation of configurations, metadata and functionality
• Coordinate and plan requirements and priorities with EDM and EDM IT support team as part of the Agile Kanban process
• Develop User Engagement and Adoption of the DG platform further
• Help develop a training plan and approach, create and maintain training content and collateral
• Conduct end-user training in partnership with data stewards
• Organize, populate and maintain knowledge repository of training, best practices, guidelines etc
• Enable adoption with navigation, search, widget and other platform features
• Help establish metadata quality controls, audit, and improvement process and methods
• Facilitate and administer metadata governance community activities
• Help establish the Data Quality framework and define processes and practices to leverage the platform

Skills on Resume:

• Governance Understanding (Hard Skills)
• Platform Research (Hard Skills)
• Prototyping (Hard Skills)
• Findings Demonstration (Soft Skills)
• Upgrade Testing (Hard Skills)
• Agile Coordination (Soft Skills)
• Training Development (Soft Skills)
• Metadata Management (Hard Skills)

Job Summary:

• Profiling and analyzing the data to identify Data Quality (DQ) issues.
• Investigate DQ issues as reported by Division personnel, ODT staff or as a result of the profiling and data analysis activities.
• Define validation logics to prevent similar problems in future submissions.
• Prepare artifacts documenting the issue so issue owner has information necessary to solve issue.
• Work with Market Data Operations (MDO) and Data Architecture and Standards to contact data submitters to resolve identified DQ issues.
• Work closely with the customer to determine the scope of data stream to be actively monitored - may be limited to certain fields, or certain submitters, etc.
• Partnering with MDO, standardize DMB data quality processes across data streams.
• Generate of a standard set of reports, called Data Quality Scorecards, for measuring data quality across different data streams. 
• Work closely with the customer to gather and document project requirements.
• Perform data manipulation and advanced data analysis including financial modeling, data mining, and Machine Learning techniques.
• Assist business users, economists, statisticians, and others, as required, to support various analytic needs.
• Test each project thoroughly before presenting it to the task order project manager for quality control. 
• Document test results as part of the project closeout documentation.
• Create documentation as required under the PMLC and the Configuration Change Board (CCB) to move projects to the production environ

Skills on Resume:

• Data Profiling (Hard Skills)
• Issue Investigation (Hard Skills)
• Validation Logic (Hard Skills)
• Documentation Preparation (Hard Skills)
• Data Resolution Coordination (Soft Skills)
• Scope Determination (Soft Skills)
• Process Standardization (Hard Skills)
• Advanced Data Analysis (Hard Skills)