Data Quality Analyst I

QuikTrip Corporation•Tulsa, OK

7d•$74,900 - $93,630

About The Position

This position is responsible for profiling, analyzing, and evaluating data from QuikTrip's source systems to support data governance and Master Data Management (MDM) efforts, ensuring data used in centralized master data systems is accurate, complete, consistent, relevant, valid, and trustworthy. This position relies on instructions and pre-established guidelines to perform the functions of the job.

Requirements

Bachelor's degree in mathematics, computer science, statistics, or a related field, or equivalent professional experience.
3 or more years of professional experience working with real-world datasets, or meets desired education requirements above.
Proficiency with SQL; understanding of database systems and querying languages used at QuikTrip.
Good communication skills to work effectively with business stakeholders and data stewards across the organization.
Ability to work in a fast-paced team environment.

Nice To Haves

Coursework or certification in data management, data quality, or data governance (such as CDMP).
Experience supporting Master Data Management (MDM) or data quality initiatives in a business environment.
Python.
Experience with Databricks or similar cloud data platforms.
Ability to create clear, insightful data visualizations using Power BI or Excel.

Responsibilities

Utilize profiling tools to analyze source data from QuikTrip systems, including base profiling (structure and constraint, duplicate, obsolete and invalid record, and composite analyses), column-level profiling (identifying missing or non-standard values, data types, and allowed values), cross-column profiling (dependency checks and business rule validations), and cross-table and cross-system profiling (join analysis to identify anomalies such as duplications and orphans, and attribute survivorship).
Document and maintain data definitions and data types in a data dictionary.
Adhere to QuikTrip's data governance standards and best practices.
Analyze profiling results against the key dimensions of data quality: accuracy, completeness, consistency, timeliness, relevance, validity, and uniqueness.
Identify and document data quality issues; recommend data cleansing, transformation, or enrichment strategies.
Create metrics and reports on data quality to track improvements; report results to management.
Partner with stakeholders, data stewards, and engineers to identify and implement data cleansing rules.
Create and manage test plans for user acceptance testing.
Perform the administration of Data Governance specific applications like Data Catalog, MDM Hubs, stewardship tools, etc., including system configuration, user access management, troubleshooting, and ongoing platform maintenance to support business operations.
Partner with business stakeholders and subject matter experts to identify and document scope, purpose, business rules, and requirements.
Document lifecycle management processes for data creation, modification, and deletion.
Identify and document data sources, including systems, files, and tables.
Translate business rules, processes, and requirements into functional and non-functional requirements.
Understand source systems contributing to the master data domain and identify overlaps and inconsistencies across systems.
Seek input from team members and supervisors on areas to improve skill set.
Actively apply feedback received into day-to-day work and strive to improve performance.
Actively utilize training outlets as necessary to improve analytical and technical skills, including self-study, in-house classes, seminars, or online training.
Maintain professional and technical knowledge by attending ongoing training, reviewing professional publications, and reviewing industry best practices and new technologies to determine fit within the organization.
Listen to others and accept input from team members.
Clearly articulate ideas and thoughts both in verbal and written formats.
Accurately prepare written business correspondence that is coherent, grammatically correct, effective, and professional.
Timely communicate status updates with supervisors, project stakeholders, and/or key customers regarding specific assignments and overall scheduling and coordination needs.