Ford Motor Company's Global Data, Insight, and Analytics (GDIA) organization is looking for a highly skilled Data Operations Analyst. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry.
The Data Operations analyst discovers and curates new and existing data sources (external data providers, public data, social media, digital exhaust, transactional data etc.) for use in building incremental value and insight for the business.
Analyst will make recommendations for alternative ways to bring data to life to solve business problems. At times, the problem is identified by a business unit, frequently wishing to optimize cost, revenue, or improve quality, and at times problems are formulated by the Data Scientists.
The Analyst identifies internal and external data sources and enables skill teams and analytics teams to leverage the data with their analytic tools to answer their key questions. The role will be responsible for discovering and curating data sources, including:
Create data standards, assessing data quality and creating required transformations
Assist in the development and improvement of identity resolution capabilities to deliver best-in-class capabilities
Conduct research to integrate latest predictive models and innovative concepts into the development of new resolution techniques and methods
Collaborate with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
Partner with the data steward to ensure that all information utilized adheres to compliance, access management, and control policies as set forth by GDIA
Provide on-going tracking and monitoring of performance of decision systems and statistical models
Solve client analytics problems and communicates results and methodologies.
Work in iterative processes with the client and validates findings
Model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions
Work closely with different teams to solve problems related to client analytics.
Perform experimental design approaches to validating findings or testing hypothesis which provide business value
Work cross-functionally to manage data and analytic projects.
Improve department results through innovation
Bachelor’s degree in Business, Information Technology, Analytics or related technical degree
1+ year of experience conducting quantitative and qualitative experience in research and analytics
1+ year of experience with data analysis tools such as: SQL, Hadoop, Teradata, SAS, Excel, Access, etc.
Master’s degree in Business, Information Technology, Analytics or other relevant disciplines
Experience in statistical analysis and techniques, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
Proven ability to communicate (both orally and visually) findings to make data analysis actionable and understandable by business partners, including IT and analytics
Business development and relationship building to establish partnerships with third parties and internal stakeholders experience
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team; discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
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.