Involve in project Life Cycle from analysis to production implementation, with emphasis on identifying the source and source Data Validation, developing logic and transformation as per the requirement and creating mappings and loading the data into different targets.

More Uses of the Data Validation Toolkit:

  • Create extract, transform, load (ETL) solutions to move and maintain data, with diligent Data Validation procedures to ensure accuracy and data integrity.
  • Maintain functional test cases and other test artifacts like the test data, Data Validation, harness scripts and automated scripts.
  • Ensure you delegate; build relationships with internal and external customers, providing superior customer service while managing expectations.
  • Ensure investment reference data integrity and compliance by performing data cleansing, data audit and/or Data Validation.
  • Develop marketing attribution and consumer engagement models using statistical methodologies and machine learning techniques for marketing campaigns.
  • Confirm your enterprise communicates priorities, requirements and operational impacts and aligns with management expectations with affiliate stakeholders in projects and department activities.
  • Modify commercial database management systems and/or develop programs to maintain files, perform Data Validation routines, etc.
  • Guide: leverage looker and other BI tools to review broadcast and streaming values over time and identify value outliers and proactively surface errors in analysis.
  • Prepare monthly media optimization scenarios to inform media plans, financial forecasting, and identify areas for efficiency improvements.
  • Control: data modeling and data mappings (landing, staging and base objects), Data Validation, match and merge rules, hierarchy, relationship, cleansing logic, and mapping survivorship criteria.
  • Support tasks as Data Validation, performance tuning and facilitate end user testing on designed reports, dashboards and statistical models.
  • Confirm your business supports and participates in the research, planning, installation, configuration, testing, troubleshooting, maintenance and upgrade of applicable systems.
  • Develop and maintain strategic client relationships and receive client satisfaction surveys and implement appropriate action plans as.
  • Confirm your design complies; exchanges knowledge and information with other local and off shore team to ensure best practices are shared throughout your organization.
  • Ensure your corporation complies; conducts quality assurance checks and Data Validation, identifies data collection issues and gaps, recommends and implements fixes.
  • Ensure you contribute; lead product managers and engineers throughout the onboarding and Data Validation processes while maintaining relationships with key external and internal stakeholders.
  • Configure MDM software to satisfy functional and technical requirements in defining match/merge, workflow, user interfaces, security, access rules, etc.
  • Arrange that your strategy contributes to and supports the corporations quality initiatives by planning, communicating and encouraging team and individual contributions toward the corporations quality improvement efforts.
  • Formulate: research and develop quantitative tools and techniques to measure and analyze consumer engagement, potential opportunities and business risks.
  • Perform analysis of datasets, build accurate data maps, and conduct regular Data Validation to support your organizations control framework.
  • Involve in data analysis, Data Validation, data modeling, data profiling, data verification, data mapping, data loading, data warehousing/ETL testing and BI reporting testing.
  • Manage work with clients/testers to ensure the product meets the client requirements in phases of Data Validation, user acceptance testing, etc.
  • Develop and lead a team based support structure to ensure availability and continuity of operational reporting and analytic needs.
  • Methodize: partner with development teams, customer success team members, and the broader analytics teams to enable decision support and key customer insights in the product and customer success spaces.
  • Identify Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection.
  • Standardize: design and develop Data Validation processes, perform data analysis and profiling to identify data gaps using SAP software data quality and data profiling tools to rectify data redundancies and anomalies.
  • Support the ongoing evolution of marketing technology toolset and measurement capabilities through the lens of potential business use cases.
  • Interpret functional requirements and designs to plan, develop, write, execute, and automate functional and Data Validation test plans.
  • Communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
  • Perform Data Validation on data marts and other data and analytic assets to ensure products meet the business needs and requirements.

 

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