Job Description :
Job description :



location : Boston,MA



Duration : 18 Plus Months 



Develop Data Quality Dashboards and Data Quality Improvement life cycle, establishing data quality SLA
*   Perform root cause analysis of data discrepancies across disparate architectural layers of distributed IT solutions and developing action plans to resolve issues
*   Conduct Enterprise Data Quality software purchasing. requirements gathering, POC driving, vendor evaluation, best option selection and new tool on-boarding
*   Data profiling of files and databases, reverse engineering of business rules based on the ingestion and data processing code
*   Track and measure wins including ROI measuring of quarterly Data Quality results and value delivered.
*   Identify and define cross applications logic to ensure that data anomalies are detected and contained within thresholds
*   Support Data Science and Advanced Analytics project/programs by enforcing best practices and providing solution to data quality issues
*   Research all available data quality technologies and solutions, determine suitability and provide guidance on the best solution for the project at hand
*   Own the support for the day-day execution of the Data Quality applications as well as anticipate new issues and functionalities.  Work to understand Data Quality agenda across Bose.
*   Provide consistent communications to the stakeholders’ community on Data Quality state to ensure transparency on new features, existing challenges, and use case successes.



Skills, Knowledge and Experiences

*   Ability to understand complex data models and relationships, data lineage and transformations through multiple systems
*   Proven experience in metadata management, data modeling, MDM, Data integration, ETL, Data warehouses, and Big data repositories
*   Experience with data discovery, profiling, cleansing and standardization, Data quality rules management, developing reusable data quality validation, data quality monitoring and reporting
*   Proven ability to mine and validate data across structured and unstructured data sets
*   Hands-on data analysis of databases and files using SQL and programming languages such as R, Scala, Python etc
*   Big data technologies expertise (preferable with Cloudera)
*   Experience with business intelligence/reporting/analytics platforms such as MS Power Bi and Tableau etc.
*   Experience with Enterprise Data Quality tools such as Informatica, Trillium, Talend, IDQ, Infosphere or others
*   A mastery of how data quality is measured, including understanding of completeness, uniqueness, validity, accuracy, integrity, timeliness, etc.
*   Experience with SAP is a plus (e.g. ECC, CRM, FI, BW, HANA, BEx)
*   Detail oriented, self-motivated, excellent communicator, strong analytical orientation
*   Proven experience of cross functional activity in complex organizations with strong emphasis on influencing and collaboration.
*   The ideal candidate will understand how people, process and technology can come together to enable business processes.