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Global Analytics and Data Science Manager

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Hitachi Vantara
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Our Company

We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks - can focus on achieving the incredible with data.

If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.

Meet the Team

Hitachi Vantara serves clients globally and across industries, establishing business relationships and understanding customer challenges so that together we deliver profitable business and benefits to society through Hitachi products, services, and solutions. We collaborate across boundaries to ensure the success of our customers, partners, and teammates; and celebrate and share that success. In the Finance Reporting and Analytics team, we pride ourselves on creating and capturing value by working in a collaborative environment, and we need passionate people like you to expand our success.

What

You’ll Be Doing

Hitachi Vantara is looking for a Manager, Analytics and Data Science, to lead its Global Analytics team. Being a part of the Hitachi Vantara finance organization, this team connects the dots across multiple business functions to drive growth, promote data-driven decision making and helps solve dynamic business problems. The manager will lead a team working with and learning from a broad set of internal stakeholders, including and not limited to - services, sales, marketing, product management, finance, pricing, and partner operations, as well as key business owners and stakeholders across multiple levels and functions within the organization.

The ideal candidate will demonstrate strong experience and confidence in working with multiple data sources to deliver insightful, accurate analyses that drive actionable outcomes, improve business processes, and support executive decision-making. Success in this role requires exceptional analytical and problem-solving skills, strong attention to detail and data quality, leadership in managing and developing analyst team and the ability to adapt quickly in a fast-paced environment.

  • Manage a team in building interactive dashboards, predictive models, and reporting solutions using tools such as Power BI, Python, SQL
  • Lead by example while managing and developing the Analyst team—providing hands-on guidance, mentorship, and fostering professional growth through direct involvement in project work.
  • Delivery of analysis, dashboards, and sharp insights that enable functional leaders to quickly understand and effectively make decisions to manage the global performance of complex solution and service offerings
  • Apply advanced analytics techniques (statistical modeling, machine learning) to identify trends, forecast outcomes, and support business decision making
  • Guide automation of data processing and transformation using Python, SQL, and modern cloud-based platforms
  • Establish and enforce data governance and quality assurance standards across all projects.
  • Mentor and coach junior staff, promoting professional growth and innovative problem-solving
What You’ll Bring to the Team
  • Bachelor's or Master’s Degree in Statistics, Quantitative Economics, Quantitative Marketing, or Engineering preferred, or an MBA combined with professional experience in a quantitative discipline performing statistical analysis
  • A minimum of 5 years’ experience in pricing or financial analysis, business planning or analysis, or similar quantitative discipline
  • Proven experience in data strategy, analytics leadership, and AI implementation.
  • Excellent problem-solving skills, strong interpersonal skills and an ability to team with others
  • High energy, creative, and self-starting; comfortable with ambiguity and possessing the ability to complete multiple projects on time
  • Experience with management reporting
  • Eagerness to collaborate with individuals from varying backgrounds and diverse skill sets
  • Working…
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