Data Quality Analyst
About The Position
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world. In this position... The successful applicant will be responsible for developing, implementing, and maintaining data quality solutions, as well as introducing technical innovations that enhance users’ data capabilities. Key responsibilities include working in the GCP environment, leveraging AI solutions, conducting data analysis, collaborating with database developers to improve data collection and storage processes, and preparing comprehensive data analysis reports. To excel in the role of Data Quality/Innovation Analyst, candidates should possess extensive knowledge of data analysis methodologies and demonstrate a strong technical background. An outstanding analyst will apply their expertise to deliver accurate and dependable information to company executives.
Requirements
- 5+ years in data analysis
- Skilled in SQL and Python
- Experience with PowerBI and MS Excel
- Cross-platform connectivity knowledge
- Proficient with GCP tools (Big Query, Dataplex, Astronomer)
- CI/CD pipeline development
- Handling sensitive data and GDPR/CCPA compliance
- Strong problem-solving abilities
- Familiarity with data analysis best practices
- Excellent communication skills
Nice To Haves
- Extensive background in data migration, warehousing, governance, and delivering comprehensive data management solutions
- Proficient in data modelling and architectural design
- Experience using any of the Industry standard Data Quality tools, like Informatica Data Quality (IDQ), Collibra, etc.
- Skilled in configuring software, deploying systems, managing production rollouts, and monitoring operations
- Experienced in mapping both logical and physical data models
- Practical experience implementing non-functional requirements for data management solutions
- Solid hands-on expertise with batch scheduling and various automation tools
- Capable of gathering information and effectively analyzing issues
Responsibilities
- Collaborating effectively as a project team alongside a range of technology and business stakeholders, both internal and external.
- Carrying out statistical analyses on large datasets to assess data quality and integrity.
- Leveraging expertise in end-to-end data processes to analyze, cleanse, and enhance data elements, ensuring seamless and consistent data flows between users and stakeholders.
- Overseeing data governance initiatives and maintaining integrity by coordinating data management throughout the organization.
- Assessing system design and performance to understand their impact on data quality.
- Working closely with database developers to optimize data collection and storage practices.
- Executing data queries to highlight coding errors and data anomalies, followed by cleaning the affected data.
- Collecting data from primary and secondary sources to detect and interpret emerging trends.
- Creating Data Quality rules utilizing Google Cloud Platform tools.
- Reviewing current processes for improvement opportunities or proposing new procedures to strengthen team and process efficiency.
- Communicating findings from data analysis to management, aiding informed decision-making and helping prioritize information system requirements.
- Documenting workflows and maintaining comprehensive data records.
- Following industry best practices for data collection and analysis.
- Staying updated with advances in Master Data Management and Data Quality practices.
- Mastering the six principal dimensions of data quality: Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness.
- Implementing data remediation strategies, including establishing methods to quarantine poor-quality data and designing workflows for data stewards to resolve issues.
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
