Data Operations Analyst
Auto Req ID:
29025BR
Job Title:
Data Operations Analyst
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
Position Overview/Description:
Ford Motor Company's Global Data, Insight, and Analytics (GDIA) organization is looking for seasoned data operations professional that has a deep understanding of data management. Candidates will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry.
In this role, the employee will support the creation of an enterprise Data Warehouse and Data Supply Chain by identifying data for ingestion, curating data, transforming data and developing data standards.
Responsibilities:
Job Requirements:
Basic Qualifications:
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Ford Motor Company also is committed to take affirmative action to employ and advance in employment such persons.
Position Overview/Description:
Ford Motor Company's Global Data, Insight, and Analytics (GDIA) organization is looking for seasoned data operations professional that has a deep understanding of data management. Candidates will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry.
In this role, the employee will support the creation of an enterprise Data Warehouse and Data Supply Chain by identifying data for ingestion, curating data, transforming data and developing data standards.
Responsibilities:
- Providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications
- Drive the Data Strategy and align it with a continuously changing business landscape
- Work collaboratively with data scientists to capture data requirements understanding and evaluating their data requirements and delivering the data they need
- Evaluate, explore and select the right data platform technologies including Big Data, RDBMS & NoSQL to meet the analytics requirements
- Ability to ingest large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, Alteryx, QlikView etc)
- Expertise to manipulate data to form unified data sets for analysis
- Provide visibility to Data Quality issues and work with the business owners to fix the issues
- Conduct data profiling and evaluate data quality
- Perform any necessary data mapping, data lineage activities and document information flows
- Create data models (Conceptual, Logical and Physical)
- Build Metadata models & Business Glossary by gathering information from multiple sources
- Serve as data subject matter expert and demonstrate an understanding of key data management principles and data use
- Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
- Drive Master Data Management(MDM) strategy including implementing the governance model for Master Data
Job Requirements:
Basic Qualifications:
- Master’s degree in Computer Science, Mathematics, Statistics, Engineering, MIS, Physics, or related quantitative field
- 3+ years of experience in a Data Management role including running queries and compiling data for analytics
- 3+ years of experience in data design, data architecture and data modeling (both transactional and analytic)
- 2+ years of experience in Big Data / NoSQL technologies including Greenplum & Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), especially command line experience with loading and manipulating files within HDFS
- 4+ years of experience in engineering with a focus on process design and data analysis
- Doctoral degree in Computer Science, Mathematics, Statistics, Engineering, MIS, Physics, or related quantitative field
- Knowledge of automotive industry in general, and understanding of automotive regulatory requirements in regards to environmental mandates (fuel economy and greenhouse gas emissions)
- Ability to analyze requirements and identify technical concerns and data quality issues
- Experience with benchmarking processes to develop best in class methods for implementation
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Ford Motor Company also is committed to take affirmative action to employ and advance in employment such persons.