Remote
The responsibility of the Data Quality Analyst is to use tools and quality testing techniques to understand and
analyze the company's captured data to ensure data quality (accuracy, consistency, and availability).
This role is focused on the quality of the data, and not specifically on the interpretations and trends found in the
data, other than those which may indicate a problem with the data itself.
Principal Accountabilities
- Become the Subject Matter Expert (SME) on data in the company database, understanding the contents
of key tables and key columns.
Defining and reporting on periodic (from hourly to yearly) quality metrics, and reporting findings to andregular review sessions with the data team. This role is also responsible where possible to identify when the
data anomaly occurred and roots cause of data variances.
Helping to drive change efforts to improve data quality : report issues to Chief Data Scientist, provide regularupdates of packages impacted, communicate issues to the data team.
Review requirements, specifications and technical design documents to provide timely and meaningfulfeedback.
Create detailed, comprehensive and well-structured test plans and test cases.Estimate, prioritize, plan and coordinate testing activities.Perform thorough regression testing when bugs are resolved.Perform exploratory analysis on existing and new data to identify potential data quality issues.Provide reports and analysis surrounding any identified data quality issues.Review changes to data management to identify impacts to data quality.Identify ways to improve data quality.Define key performance metrics to track success.Ensure ongoing quality of data accuracy (data is correct according to its definition), consistency (the meaningof the data doesn't change over time) and availability (the data doesn't have gaps).
Work with the DBA to improve data system and database design to address quality issues.Work with other business units to identify areas where there may be concerns about data quality, and todefine acceptable data quality limitations and thresholds.
Keep up to date with the latest trends and information pertinent to understanding relevant industries (suchas understanding how carrier networks operate so they can understand what the data we are receiving
should" look like).
Stay relevant and up-to-date with new testing tools and test strategies.Education and Experience
BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Analysis or relatedfield
4 years of experience as a Data Quality Analyst, Data Analyst, or Business Data AnalystStrong knowledge of and experience with relational databases (SQL)Experience with other data analysis / statistical techniques (Python, R, etc.) is a plusTechnical expertise regarding data models and data storage platforms (both SQL and other)Strong experience working with small package shipping data (FedEx, UPS, USPS) is not required, but is highlyencouraged
Experience working in an Agile / Scrum development process
