• Identify, compare, and help to resolve issues with data quality 
• Evaluate and understand new datasets 
• Assist in building requirements for data processing 
• Work with the engineering team to correct data error and provide QA on data-related issues 
• Maintain records of data quality and assist in managing/prioritizing backlog of data issues 
• Identify areas of improvement and assist in improving the process to ensure data accuracy 
• Analyze, query, and manipulate data 
• Maintaining a music release calendar and ensuring the accuracy of sales and streaming data for new releases.
• Conducting frequent tests of Alpha Data's databases for accuracy
• Maintaining a robust database for chart histories, flagging major milestones for songs, albums, and artists on the charts.
• Regular upkeep of music metadata

Skills: Data Quality Resolution, Dataset Evaluation, Data Requirements Development, Engineering Collaboration, Data Quality Management, Process Improvement, Data Manipulation, Music Data Maintenance

• Assemble the key data quality metrics for data assets, using governance and quality frameworks
• Support the Senior Product Manager in collecting data quality requirements as user stories with well-defined acceptance criteria
• Perform data analysis, data profiling, root cause analysis and remediation of data quality issues
• Perform data quality assessments of existing and new data assets and source systems
• Present results of assessments in a clear and concise manner to business and technical stakeholders, with remediation options
• Facilitate, collaborate, and connect with partners across the business to support discovery, delivery and build of data assets on the platform
• Act as single point of contact and SME for data quality within the domain
• Working with engineering teams to support implementation of data quality in the build of data assets
• Codify data quality identification, remediation, and monitoring rules in the Data Quality Management tool

Skills: Metrics Assembly, User Story Development, Data Profiling, Asset Assessment, Stakeholder Presentation, Business Collaboration, Quality SME, Rule Codification

• Executes in-depth analyses by gathering, inspecting and correcting online dataset to ensure optimal data health – identify problematic areas to initiate overall cleanse
• Works with cross-functional teams to create processes and documentation that will be implemented as data governance standards in order to improve online data quality
• Assist in troubleshooting ongoing operational gaps and engage with cross-functional teams to provide analysis and recommendations
• Leverage system dashboards to compile insight reports on data quality data health performance and key data initiatives.
• Conducting data profiling and assessment of critical data elements, monitoring and reporting on data quality issues. 
• Make recommendations to address data quality issues and ensure they are resolved. 
• Work closely with with data owners, data users and data custodians (IT) to ensure root cause of reported data issues are understood and underlying problems as well as associated symptoms are resolved. 
• Ensure adherence to documented data quality standards and measures, delivering data quality improvement training and initiates that are well defined, agreed and prioritised, creating and maintaining documents to support the processes and procedures.

Skills: Data Health Analysis, Process Creation, Operational Troubleshooting, Dashboard Reporting, Data Profiling, Quality Recommendations, Root Cause Analysis, Quality Standards Compliance

• Support remediation of all items arising from ORM quarterly and ad hoc data quality reviews
• Support remediation of all items noted on the data Quality Metrics published by ORM
• Tracking of unmapped Issues & OREs
• Assist in Residual Risk Sprints
• Ensure Activity, Risk, Control and Monitoring descriptions meet the requirements as set out in the MCA procedures
• Ensure all critical dependencies are accurately reflected in CRC
• Tracking timely and accurate completion of QRA & ARAs
• Reporting on status of MCA activities
• Perform other independent challenges and clean ups to ensure sound data quality of data in CRC
• Build out ‘cheat sheets’ for key components of MCA
• Participate in all ORM challenges

Skills: Remediation Support, Issue Tracking, Risk Sprint Assistance, MCA Compliance, Dependency Reflection, QRA Tracking, MCA Reporting, Data Cleanup

• Distribute reports to appropriate operations teams, carriers or truckers for follow up and escalate to customers 
• Liaise with Business Intelligence team to determine proper use cases for different BI tools (Tableau, Business Objects, XLS, etc)
• Learn how to use KN BI tools and create appropriate reports
• Liaise with Program Managers to determine DQ risk areas needing controls
• Provide metrics to program managers on DQ challenge areas and performance improvement ideas
• Create/Maintain work instructions for daily work on each account including step by step how to run reports, any manual DQ reviews performed and contact details for report recipients
• Analyze data to identify trends, inconsistencies or possible DQ risk areas that should be added to metrics
• Create slides to contribute to customer business reviews around DQ or other trend analysis
• Able to clearly communicate to cross-functional leaders while investigating data inconsistencies
• Helps area MDM ensure data fitness, modifying data and processes 
• Help the area MDM clearly document and define the purpose of data
• Help the area MDM define and manage processes for data entry
• Work cross-functionally with area MDMs to help them achieve their data cleanliness goals.

Skills: Report Distribution, BI Tool Liaison, BI Reporting, DQ Risk Analysis, Metrics Provision, Instruction Maintenance, Data Trend Analysis, Cross-Functional Communication

• Strong experience with SQL and stored procedure testing with the ability to write SQL queries for testing purpose.
• Experience with white-box and black-box testing
• Experience with AWS, Python & any scripting language.
• Providing testing leadership in design reviews, code reviews, and test reviews.
• Analyzing trends in data and make recommendations for improvements.
• Possess strong written and oral communication skills, along with the ability to interact professionally with a diverse range of team members.
• Experience with developing with SQL and/or Databricks with an understanding of data structures and data storage
• Experience with Agile / Scrum and other SDLC methodologies
• Experience with Cloud/AWS environments
• Excellent interpersonal and communication skills, both written and verbal
• Ability to successfully operate in an environment that includes ambiguity and change
• Ability to manage multiple tasks and priorities in a highly dynamic environment, solid problem solving skills, exceptional attention to detail

Qualifications: BS in Data Science with 4 years of Experience

• Excellent Microsoft Skills especially Excel and PowerPoint
• Ability to quickly gain deep knowledge of the application and its navigation
• Practical knowledge in importing data for use in spreadsheets, graphs, and flow charts
• Demonstrated keen sense of detail and accuracy
• Highly self-motivated and directed
• Passion for customer service with a strong level of critical thinking to quickly resolve issues
• Excellent oral and written communication skills. 
• Ability to understand others and clearly express thoughts
• Ability to produce high quality work deliverables with high attention to detail
• Ability to multi-task by managing multiple concurrent objectives, projects, or activities
• Ability to adapt quickly to fast-paced changing environment and priorities

Qualifications: BS in Computer Science with 3 years of Experience

• Familiarity with regulatory requirements and best practices related to the conduct of human subject research (e.g., FDA regulations, ICH GCP).
• Experience with electronic data capture systems and electronic case report forms 
• Knowledge and/or experience in data management or quality control 
• Ability to communicate clearly and effectively with written and verbal English.
• Complex problem solving skills and ability to work independently.
• Knowledge of clinical trial regulations and procedures, data management processes and database-related technical skills.
• Strong understanding of data management processes, and is able to resolve complex issues and questions independently.
• Able to provide input on overall data quality planning, procedures, and systems with an eye towards consistent improvement.
• Able to handle some projects independently, and work with Senior Data Analysts and/or the Data Quality Manager on larger projects.

Qualifications: BS in Information Technology with 5 years of Experience

• Experienced in banking industry, preferably in operations department or shared service centred of the banks.
• Regulatory reporting knowledge.
• Meticulous and attentive to details, possessing an analytical and enquiring mind-set
• Good verbal and written communication skill in English
• Professional, confident and highly motivated self-starter, with an ability to handle multiple engagements/projects in a fast pace environment
• Positive attitude to learn and strong team player
• Able to work under pressure and tight deadlines
• Motivation to take ownership of tasks and the determination to drive them to completion
• Experience with SQL Server and writing queries 
• Experience working in a team-oriented, collaborative environment

Qualifications: BS in Statistics with 2 years of Experience

• Experience in querying Big Data environments, specifically HDFS (Hadoop) or cloud based lakes or marts.
• Experience in presenting technical solutions and findings to both technical and non-technical stakeholders, tailoring content accordingly.
• Understand and be able to articulate the link between Data Quality and other functions in the business e.g. Operations, Risk and Compliance, Data Privacy.
• Able to unpack a variety of file types e.g. txt, CSV, XBRL, JSON for analysis.
• Proficient in interrogating data via R or Python.
• Experience with Tableau for visualisations and dashboarding.
• Able to create analytical queries to examine the dimensions of data quality: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
• Experience in understanding business rules to build data quality controls.
• Able to articulate and evangelise Data Quality so the business understands why it’s important and benefits it brings.
• Able to provide internal consultation to projects and other teams on ideal preventative DQ controls as well as detective DQ controls they can build.

Qualifications: BA in Business Analytics with 5 years of Experience