Eaton’s Marketing and Commercial Operations organization’s (MCO) division is currently seeking a Business Intelligence Analyst to join our team to execute the roadmap enabling strategic use of data. This is a hybrid role is located at our Moon Township, PA facility.

What you’ll do:

You will join a team with the mission to empower our sales and customer support teams with tools that drive decisions grounded in insights from data. You will also contribute to efforts across the broader organization to enable access to self-service data, working closely with other technical (IT, Data Engineering, and Data Science teams) and business (North American Sales, Sales Reporting, Channel, and Product Management teams) stakeholders.

This is a unique opportunity to drive work on large analytics investments and build data products, which enable data driven decisions at Eaton. A successful candidate will combine their technical skills, a passion for problem solving, and a curiosity to develop a business acumen to build data products that are tailored to their users and impactful to the business.

As a Business Intelligence Analyst, you will be responsible for delivering and maintaining highly available self-service data platforms. You will be part of a community of technical data analysts, with an opportunity to work on meaningful projects ranging from developing critical data pipelines that help run the business to building tools to analyze Eaton’s sales, commercial operations, and strategic planning data, which guides the NAS & MCO organizations. Your work will drive Eaton’s initiative to make informed data driven decisions that maximize efficiency and effectiveness. This role will require you to consult with business stakeholders to understand how they inform decisions for their teams and develop solutions to fulfill analytical, reporting, and operational data needs across these teams.

In this function you will:

• Work closely with business stakeholders to identify opportunities for leveraging data to drive business insights and decisions

• Build and maintain meaningful and unified data products, including data pipelines, models, and dashboards, that serve as the basis for all analysis performed primarily by our NAS & MCO teams

• Improve efficiency and streamline processes in our data pipeline and dashboard development framework using agile principals

• Collaborate within and across other teams like data engineering to drive improvements in data pipeline and data warehousing components that are simple, reliant, and performant

• Consult on and resolve tier 2 & 3 technical support issues related to the MCO Analytics team's analytics platforms

• Develop strong understanding of data domains (sales, customer support, etc.) captured through operational processes and customer interactions

Qualifications:

Basic Qualifications:

• Bachelor’s degree from accredited institution (Engineering, Sciences, Data Analytics / Data Science, Accounting, Finance, Business, or a related field)

• Minimum of 3 years of experience working in analytics, business intelligence, data engineering or related STEM fields

• Minimum 3 years of working experience in relational databases and data warehouses (understand concepts of data modeling), and BI platforms/applications like Power BI, QlikView, or Tableau

• Relocation is not available. Candidates must live within 50-mile radius of Moon Township, PA to be considered.

• Sponsorship is not available. Candidates must be legally authorized to work in the U.S. on an ongoing basis without requiring company sponsorship.

Skills:

Preferred qualifications:

• Working experience with Power BI Desktop and Power BI Service

• Experience with R and/or Python with exposure to machine learning

• Familiarity with big data/cloud technologies (Azure, Snowflake, etc.)

• Experience working in an agile development environment

• Familiarity with DevOps ideas and concepts

Position Criteria:

• Ability to manage both up and down in the organization as the position will be working with and providing technical guidance/support to the Business Analytics Manager as well as working directly with business stakeholders and users

• Curiosity and willingness to learn

• Ability to work in an ambiguous environment

• Ability to think critically and solve complex problems

• Ability to manage time effectively to complete tasks and projects quickly based on prioritization and needs of the business

• Strong commitment to continuous improvement

• Excellent written and verbal communication skills, and a willingness to proactively engage other team members in fostering a strong collaborative team-oriented environment

The expected annual salary range for this role is $105000.03 - $154000.04 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (https://www.eaton.com/content/dam/eaton/company/careers/US%20Benefits%20updated%2010.24.22.pdf) for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.