Enterprise data management, data warehousing and/or business intelligence; data modeling, integration and/or synchronization, quality, security, conversion and analysis; database administration; and/or enterprise data management policies, procedures, compliance and risk management.

More Uses of the Data Cleansing Toolkit:

  • Integrate information from multiple data sources, solving common transformation problems, and resolve Data Cleansing and quality issues.
  • Apply appropriate Data Cleansing tools to review and audit data; research potential duplicate records; ensure compliance with naming and address standards.
  • Ensure that new systems, applications, and data integration measures adhere to existing data management practices, policies, and procedures.
  • Be accountable for identifying opportunities for standardization and automation of existing solutions and processes to maximum potential from your teams.
  • Develop technical best practices for data movement, data quality, Data Cleansing, and other data transformation related activities.
  • Ensure you amplify; understand complex financial data and processes to perform data analysis, review reporting logic, trace data lineage and sources.
  • Be accountable for supporting the Data Cleansing activities to ensure a clean set of data is imported from legacy systems and to ensure minimal disruption to the business during and after system Go Live.
  • Ensure you participate; build out the necessary data structures optimized for eCommerce analytics, leveraging the on premise data warehouse and other structured and unstructured data warehousing/storage platforms.
  • Become fluent in data technologies as data governance tooling, data platform technologies, and enterprise architecture principles.
  • Have progressing skills in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.
  • Coordinate: orient advanced analytics, business intelligence (BI), and reporting efforts towards aiding data driven business decision making and process automation.
  • Develop and implement modifications necessary to correct software defects and implement enhancements based on requirements provided by the project team.
  • Oversee: work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  • Be accountable for providing guidance to sites/functions on the Data Cleansing and preparation process and standards, and clarification on data standards.
  • Establish: through data profiling, data quality assessment, and Data Cleansing, ensures master data is defect free, conforms to specifications, is suited to its purpose and meets business needs and expectations.
  • Contribute to Data Cleansing and data integrity verification ensuring continuous data quality across product verticals and related business areas.
  • Provide guidance and thought partnership to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
  • Develop: own quality assurance of own codes and that of team members to ensure the highest quality work is being delivered to your clients.
  • Have baseline skills in Business Analysis, Business knowledge, Software Engineering leadership, Architecture knowledge and Technical Solution Design.
  • Confirm your corporation complies; interfaces and builds relationships with function managers to ensure adherence to data governance principles and proper functioning of dashboards.
  • Execute audits periodically to ensure that data is being properly managed in the Cloud, and that legal or security requirements are consistently being met.
  • Manage work with disparate data sources and multiple internal and external databases using large amounts of structured and unstructured data to perform Data Cleansing, transformation and analysis.
  • Improve existing reporting and design, and implement visualizations that clearly communicate results, patterns, and leading indicators.
  • Drive data quality, through the team executing order processing, new hire training, process documentation, reporting and Data Cleansing.
  • Ensure you chart; united way brings people, organizations, and communities together around a common cause, a common vision, and a common path forward.
  • Identify KPIs/metrics and work with business teams to provide reports to be utilized in making operational and strategic decisions.
  • Manage work with marketing and sales operations to follow Data Cleansing best practices, with a focus on ensuring complete and up to date market intelligence and competitive win/loss data for top target firms.
  • Devise, coordinate, and conduct mass Data Cleansing initiatives for the purpose of purging and eliminating corrupt or redundant information from corporate databases.
  • Support the development of business requirements and completion of software testing activities associated with the delivery of applications and financial models to clients.
  • Be accountable for developing and mentoring the ETL development team, ensuring that best practices are implemented for data governance, data quality, Data Cleansing, and other ETL related activities.

 

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