JOB SUMMARY
The Data Quality Specialist I position will be a key enabler of Charter Data Quality strategy, and will be highly influential in helping to shape its future direction to meet our needs for high quality complete, accurate and timely data in Charters BI product and solutions. This role requires a highly skilled and motivated professional who can efficiently maintain and assist with data quality analysis and data validation including design and implementation of controls, validation and reconciliation processes across Enterprise Data such as Customer, Product, Engineering, Financial, and Employee critical data. The position will work within the overall BI Data Strategy & Operations function including Data Governance and Data Architecture functions with the purpose to enable data as a valued asset across the enterprise with specific focus on reliability and quality of enterprise data.
MAJOR DUTIES AND RESPONSIBILITIES
Serve as the specialist on all matters related to the implementation, training and monitoring adoption of Data Quality within distributed data management teams
Establish reusable process tools and best practices for Data Quality analysis, tracking cleansing and escalation
Work closely with Data Governance team on quality metrics necessary to drive improvement and demonstrate execution of greater strategy.
Establish clean process for managing Business Rules to align to Data Quality metrics
Define and implement approach to clean up of enterprise data with respect to enabling value in historical data required in reporting and analytics across the business.
Lead the process of identifying opportunities to improve data quality alignment in accordance with the business objectives
Conduct data discovery stakeholder interviews
Identify data sets, develop data flows, understand data-related processes and identify key data issues for each application
Responsible for tool implementation and maintenance needed to perform quality processes for master and reference data
Provide analysis of complex data issues, root cause analysis and resolution
Define and develop foundational procedures and technical solutions to ensure successful execution of the Data Quality Framework
Evaluate large datasets, address and resolve reconcilable discrepancies through daily data analysis, find opportunities for continuous data improvement
Enforce quality assurance guidelines, control standards, and coordinate tactical day-to-day data management activities
Present updates, changes, and fixes to key partners on a regular or as-needed basis
Perform other duties as requested
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Experience in Data Quality automation and testing experience as a part of a continuous delivery and deployment Bi ecosystem
Strong mathematical and problems solving skills with a keen eye for identifying trends and data anomalies
Working knowledge of Data Governance, Data Quality and Data Lineage concepts is required
Working knowledge of Data Quality tools such as Trillium, Ataccama, Information Builders iWay, or other such tools is required
Demonstrated understanding of Master Data Management processes and policies
SQL language proficiency with at least one of the common database platforms such as Teradata, Redshift, Netteza, Oracle, and/or DB2 database management systems.
Demonstrated ability to manage deliveries to a timeline while negotiating deliverables with key partners
Proven ability to identify automation opportunities within current analytics processes and work closely with architecture team to implement the solution
Ability to turn vague concepts and asks into well-documented and effective business metrics and insights
Highly detail oriented and organized with the ability to multi-task and work in a very fast paced environment
Excellent communication and presentations skills and ability to lead meetings effectively
Has successfully managed project/product implementation through partnerships with cross-functional teams, both internal and external
Ability to exercise discretion on sensitive or confidential matters
Working knowledge of a Business Process Management tool is a plus
Education
Advanced degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
Related Work Experience Number of Years
Experience in data mining, large scale data acquisition, transformation, 7+
and cleaning, both structured and unstructured data
Competency in data manipulation and analysis: 7+
accessing raw data in varied formats with different methods
Working experience with data visualization tools 5+
(Microstrategy/Tableau/ Qlikview/ Spotfire)
Experience in managing the Data Lifecycle with specific focus on Data Quality practices 5+
and data issue management/root cause analysis
Experience in developing automated frameworks, templates 5+
and design patterns
Experience in developing test cases for RDBMS (Teradata, Exadata) 3+
Experience with Collibra Data Governance a plus
Cable experience strongly preferred
Understanding of web and mobile technologies preferred
WORKING CONDITIONS
Office environment
BBL319 301356 301356BR