Senior Data Analyst

Job ID: 2079

Location:

Scottsdale, AZ, US

Job Family: Data Management

Job Type: Full Time

Working Mode: Hybrid

About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

As a Senior Data Analyst , you will design, develop, and evaluate infrastructure, data processors, and persistence from concept through production stage, and make modifications as needed.

Key Responsibilities

• Works closely with subject matter experts, perform one-time, quantitative, or statistical analysis or periodic reports to answer specific questions.
• Works from a curated data set or data dump.
• Create visualizations to effectively communicate results.
• Identify and effectively communicate problems or inconsistencies in a data set.
• Identify and access appropriate data sources.
• Identify and effectively communicate and mitigate problems or inconsistencies in a data set.
• Deploy, test and maintain data platform
• Responsible for conducting testing on large scale data platforms
• Generate transformed data exports to support other teams.
• Provide recommendations for data improvement, quality and efficiency of data
• Development of data processors for data validation, data modeling, mining and data production
• Work with teams generating data to understand the purpose, application, valid states, and interoperability of data needs.
• Keep abreast of new developments in the domains of cloud computing and data analytics.
• Demonstrates support for company culture in their daily actions.
• May be called upon to perform comparable duties of a similar or related nature and/or assist in other areas as needed.

Experience Required

• Bachelor’s degree in Math, Engineering, Business, Data Analytics, Economics or other related field.
• Minimum 5 years related experience required; or equivalent combination of education and experience.

Preferred Qualifications

• 8 years of relevant experience.
• Proficient with query languages (SQL).
• Proficient with analytical tools such as Excel, Python, and Notebooks.
• Ability to use dashboarding tools such as Power BI, Grafana, or Superset.Experience with Cloud Computing (Amazon Web Services or Microsoft Azure).
• Proficiency in Automation, Provisioning, and Orchestration tools (Gitlab Pipelines, Terraform, Ansible, etc.).
• Understanding of ETL pipelines, streaming services, and storage/access patterns.
• Experience writing software to develop pipeline processors, ideally in Python.
• Ability to Create and Integrate API interfaces
• Good understanding of Core computing concepts like programming and algorithms to build robust data systems
• Should possess knowledge of data warehouse and big data technologies
• Experience with version control specifically Gitlab
• High level of patience and service.
• Ability to motivate team members.
• Capacity to be flexible and multitask.
• Creative and out of the box thinking to solve problems creatively
• Demonstrate attention to detail
• Ability to communicate effectively with team members across a wide variety of specialties and leadership staff.
• Understanding the development, persistence, and application of Machine Learning datasets is desired but not required.

Pay Transparency

The annual salary for this role is $84,375 - $112,500 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

Benefits

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including:

• Flexible work arrangements
• Savings & Retirement benefits
• Tuition reimbursement
• Parental leave
• Adoption assistance
• Fertility & Family building support
• Employee Assistance Programs
• Charitable contribution matching and Volunteer Time Off

Click here to learn more about our benefits offerings! (US only)

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation.

If you need reasonable accommodation with the application process, please contact us at [email protected].

Nearest Major Market: Phoenix