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.