Data Analytics Analyst

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    "ShortDescriptionStr": "Ford’s Service Engineering & Operations (SE&O) Analytics Team is seeking a highly skilled Data Analytics Analyst to drive operational transformation through data-driven innovation. As part of the Global Service Excellence & Strategy (GSES) organization, you will lead end-to-end data analysis projects, developing predictive insights and statistical models that enable automated decision-making across the Ford Customer Service Division (FCSD).",
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    "ExternalDescriptionStr": "<p><span style=\"border: 1pt windowtext; padding: 0in;\">The SE&amp;O Analytics Team within Ford Customer Service Division’s Service Engineering &amp; Operations (SE&amp;O) is looking for a highly skilled Data Analytics Analyst to assist in all levels of problem formulation, model development, evaluation, and deployment. You will have the opportunity to partner with the business to drive the transformation of Ford using data.</span><br><span>&nbsp;</span><br><span style=\"border: 1pt windowtext; padding: 0in;\">The SE&amp;O Analytics team is under the Global Service Excellence &amp; Strategy (GSES) team.&nbsp; The SE&amp;O Analytics team&nbsp;</span>leads the strategic vision and execution for SE&amp;O’s analytics and Artificial Intelligence (AI) capabilities, establishing the team as the enterprise hub for data-driven innovation within the organization. Our core mission is to transform operational effectiveness by delivering predictive insights, enabling automated decision support, and fostering smarter, faster operations across all functions.</p>",
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    "ExternalQualificationsStr": "<p><strong>What You’ll Need:&nbsp;</strong></p><ul style=\"list-style-type: disc;\"><li>Minimum 3+data/statistical analysis.&nbsp;</li><li>Highly proficient in utilizing SQL, SAS, Python, and R to manipulate, arrange, query, and present data</li><li>Experience working in Google Cloud Platform (GCP)</li><li>Experience utilizing Power BI, Looker, Microsoft Excel, and PowerPoint to present data</li><li>Familiarity with large data structures</li><li>Knowledge of statistical testing methodology</li><li>Create new and maintain existing statistical data models.</li><li>Ability to write sophisticated SQL queries needed to query &amp; analyze data</li><li>Proven customer focus experience, with the skills to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint</li><li>Resolve data quality issues and work with technical and business owners to correct and identify underlying issues</li><li>Lead the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) performance reports</li><li>Seek opportunities to improve processes, data collection, delivery methods, and value</li><li>Exercise judgment and interpretation of requests to deliver the appropriate metrics with the vital context</li><li>Deep understanding of A/B testing, audience segmentation, and content targeting</li><li>Excellent written and verbal communication skills</li><li>Ability to plan and develop new metric reports that generate business value</li><li>Manage time effectively within a complex environment</li><li>BA / BS in computer science, management information systems, statistics, mathematics, marketing research, or equivalent technical or semi-technical undergraduate degree with an emphasis in statistics.</li><li>Previous experience with Ford Customer Service Division (FCSD) desired.</li></ul>",
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    "ExternalResponsibilitiesStr": "<p>The Data Analytics Analyst is responsible for leading end-to-end data analysis on projects. This individual will partner with the senior data scientist,&nbsp;<span> </span>business owners, database developers, and strategy partners in crafting comprehensive analysis. You will be reporting on performance inclusive of insights and recommendations. The ideal candidate must be a self-starter and a quick learner with a desire to learn new tools and techniques. Success in this position greatly depends on your ability to assess data, business objectives/processes, and the ability to deliver both clear and meaningful insights while developing collaborative working relationships with team members across the organization.&nbsp;</p>",
    "InternalResponsibilitiesStr": "<p>The Data Analytics Analyst is responsible for leading end-to-end data analysis on projects. This individual will partner with the senior data scientist,&nbsp;<span> </span>business owners, database developers, and strategy partners in crafting comprehensive analysis. You will be reporting on performance inclusive of insights and recommendations. The ideal candidate must be a self-starter and a quick learner with a desire to learn new tools and techniques. Success in this position greatly depends on your ability to assess data, business objectives/processes, and the ability to deliver both clear and meaningful insights while developing collaborative working relationships with team members across the organization.&nbsp;</p>",
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