Analytics Data Engineer

March 5

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Ford Motor Company

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Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

Automotive • Financial Services • Mobility

10,000+ employees

Founded 1903

🚗 Transport

💰 Post-IPO Debt on 2023-08

📋 Description

• Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.) • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends • Use Alteryx workflows to pull data and build Qlik Sense or Power BI dashboards • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely • Work collaboratively with different business partners and be able to present results in a clear and concise manner • Build GCP pipeline for data ingestion in GCP Data Factory

🎯 Requirements

• Bachelor’s Degree in Computer Science, Mathematics, Statistics OR a combination of education and experience • 3+ years of experience in data analytics • Experience with BI and visualization tools like Tableau, Power BI, and Qlik Sense. • Proficiency in building automated reports on Qlik Sense using Alteryx workflows. • Strong SQL skills for data extraction and manipulation. • 2+ years of proven experience using Terraform and Tekton to deploy changes to GCP. • Experience with Cloud Native Technologies such as GCP, Cloud Run, Data Factory, and Big Query. • Knowledge of programming languages such as Python or R is a plus. • Knowledge of Monitoring tools such as Dynatrace or Grafana is a plus.

🏖️ 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.