# Data Analytics Analyst

**Company**: Ford
**Location**: Naucalpan de Juarez
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: IT
**Industry**: Automotive

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65597?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a4237247-432

## Description

Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of Ford.

As a Data Analyst, you will work at the intersection of business strategy and advanced analytics, translating complex datasets into predictive insights and automated decision-making frameworks. Your work will directly empower leadership and cross-functional partners to make smarter, faster, and more proactive decisions that drive operational excellence and shape the future of our customer experience.

## Responsibilities

- Partner with data scientists, business owners, and database developers to formulate business problems, design analytical models, and deploy data-driven solutions.

- Build, validate, and optimize predictive and statistical models to uncover trends, conduct A/B testing, and enable precise audience segmentation.

- Create and publish automated reports, metrics, and visual dashboards using industry-standard tools such as Power BI and Looker to provide actionable insights to stakeholders.

- Proactively identify, troubleshoot, and resolve data anomalies or quality issues by collaborating with technical and business platform owners.

- Continuously evaluate data collection methods, reporting workflows, and delivery systems to improve efficiency, accuracy, and overall business value.

- Synthesize sophisticated datasets and analytical findings into clear, compelling presentations and strategic recommendations for non-technical leadership.

## Qualifications

- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Management Information Systems, or a related quantitative field, or equivalent practical experience.

- Experience: Typically 3 or more years of professional experience in data, statistical, or business analysis.

- Technical Skills: Strong proficiency in SQL and programming languages like Python, R, or SAS for data manipulation and analysis.

- Cloud & Visualization Tools: Hands-on experience working within cloud environments such as Google Cloud Platform/GCP and utilizing data visualization platforms like Power BI, Looker, and Microsoft Excel.

- Analytical Capabilities: Solid understanding of statistical testing methodologies, A/B testing, and managing large, complex data structures.

## Skills

### Required
- SQL
- Python
- R
- SAS
- Power BI
- Looker
- Google Cloud Platform/GCP
- data analysis
- statistical testing
- A/B testing

### Nice to have
- Master’s degree in Data Science, Business Analytics, Statistics
- professional certifications in cloud data analytics or data visualization
- machine learning algorithms
- advanced predictive modeling techniques

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65597?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)