Data Wrangler

hace 4 semanas


Saltillo, México John Deere A tiempo completo

There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before in our 175-year history. Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.

**Title**:Data Wrangler

**Primary Location**:Mexico (MX) - Nuevo León JD Credit - Mexico

**Function**:Data Science & Analytics

John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 150 years, the company’s portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it’s been replaced with an image of acceleration, swift progress, and innovative leaping toward the company’s 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere’s ongoing investment in emerging markets.**Main Responsibilities**:

- Efficiently retrieves internal and external data and ensures that source data is accurate, meaningful and valid for use in analytics and reporting.
- This level combines 2-3 sources of structured data with a consistent identifier.
- Identifies ways to develop sustainable data provisioning solutions.
- Addresses quality issues for data sets by identifying the root cause and potential solutions.
- Updates or develops dashboards.
- Supports efforts to close data quality gaps by meeting data training needs within the business.
- Works under some supervision.

**What Skills You Need**:

- Locates and acquires data from existing data locations, external sources, and new data sources as needed to support analytics and reporting.
- Organizes and cleans the data to remove quality issues, combines data sources, and provides relevant information which may include developing samples used to create analytics models or reports.
- Creates ad hoc reports and visualizations that support data-driven decisions.
- Works on new data provisioning solutions, explores new ways of organizing data, and focuses on developing sustainable data usage for designated stakeholders including access, costs, and organization processes.
- Supports data governance activities by acting as a data steward or custodian of certain data elements.
- Compiles and analyzes market, operations and customer data for projects, supervisors and managers.

**What Makes You Stand Out**:

- Knowledge of statistical analysis, economics, and trend forecasting.
- Understanding of various functions within respective business.
- Knowledge of advanced data gathering and analysis techniques, including statistical analysis.

**Education**:

- Degree in a Math/Information Technology discipline or equivalent experience. - University Degree (3 years or equivalent).

**Inclusive Leadership feed the Worlds**

The World is counting on us to feed billions of people and build vital infrastructure in villages, towns, and megacities. We believe by strengthening the diversity of our workforce, we can give everyone their chance to leap forward. That´s why we celebrate diversity, champion equity, and promote inclusiveness so every employee can make the greatest impact as their true self.

At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement.

John Deere-a proven business leader
- watch your potential grow.


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