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.
Job Description
What You Will Be Doing
Hitachi Vantara is looking for a Data Analyst to join its Global Analytics & Decision Sciences (GADS) team. This is an entry-level opportunity designed for a recent undergraduate graduate or someone beginning a career in data, analytics, business intelligence, or decision sciences. The position follows a hybrid work model based in Norman, Oklahoma.
As a Data Analyst, you will work with experienced analysts, business intelligence professionals, data scientists, and stakeholders. You will help explore business questions, prepare and analyze data, develop reports and visualizations, and communicate findings in a clear and meaningful way.
You will gain exposure to how analytics supports multiple areas of the business, including Supply Chain, Finance, Sales, Product Management, Finance, and Pricing. This role is well suited for someone who enjoys solving problems, learning innovative technologies, working with data, and understanding how analytical work can improve business decisions and processes.
Key Responsibilities and Expectations
•Work with business stakeholders and team members to understand business questions, document requirements, and clarify the intended outcome of an analysis or reporting request.
•Gather, organize, clean, and validate data from multiple sources in preparation for analysis and reporting.
•Use tools such as SQL, Python, Microsoft Excel, Power BI, and approved AI tools to explore data, perform analysis, automate routine work, and develop reports or visualizations.
•Support the development and maintenance of Power BI dashboards, reports, datasets, and supporting documentation.
•Perform exploratory and descriptive analysis to identify trends, patterns, outliers, and areas for further investigation.
•Assist with defining, calculating, and validating business metrics and key performance indicators.
•Conduct data-quality checks and help identify inconsistencies, missing information, or unexpected results.
•Communicate analytical findings through clear visualizations, concise written summaries, and presentations appropriate for business audiences.
•Support testing and validation of reports, analytical solutions, data transformations, and enhancements before release.
•Partner with experienced team members on analytics, business intelligence, data science, and process improvement projects.
•Document analytical methods, data sources, business definitions, assumptions, and recurring processes to support consistency and knowledge sharing.
•Participate in team reviews, training, and working sessions while developing an understanding of the organization's data, processes, and analytical standards.
•Explore new analytical tools, techniques, and technologies and share relevant learnings with the team.
•Manage assigned tasks responsibly, communicate progress and potential issues, and incorporate feedback into the work.
What You Bring to the Team
Required Qualifications
•A recently completed or soon-to-be-completed bachelor's degree in Data Science, Business Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, Information Systems, Engineering, or another quantitatively oriented field.
•Foundational experience using SQL to retrieve, combine, or analyze data through academic coursework, internships, research, employment, or personal projects.
•Foundational experience with at least one analytical programming language, preferably Python or R.
•Familiarity with data visualization or business intelligence tools such as Power BI or Tableau.
•Working knowledge of Microsoft Excel, including organizing, analyzing, and summarizing data.
•Basic understanding of analytical and AI concepts such as descriptive statistics, data validation, regression, classification, prompt design, model limitations, or responsible AI use.
•Strong analytical thinking and problem-solving skills, with an interest in understanding both the data and the business question behind it.
•Attention to detail and a commitment to producing accurate, consistent, and well-documented work.
•Ability to communicate clearly, ask thoughtful questions, and explain findings to technical and nontechnical audiences.
•Ability to work collaboratively with individuals from different functions, backgrounds, and levels of technical experience.
•Demonstrated curiosity, initiative, and willingness to learn unfamiliar business concepts, data sources, and technologies.
•Ability to organize assigned work, balance multiple priorities, and respond constructively to feedback.
Experience Expectations
Prior full-time professional analytics experience is not required. Relevant experience may come from:
•Internships or cooperative education assignments
•Undergraduate research or capstone projects
•Technical coursework or laboratory work
•Student organizations, analytics competitions, or hackathons
•Volunteer analytics projects
•Independent technical projects
•Part-time employment involving data, reporting, or process improvement
Preferred Qualifications
The following qualifications are helpful but are not required:
•Experience developing reports or dashboards in Power BI, Tableau, or a similar visualization tool.
•Exposure to data preparation, data modeling, dimensional modeling, or ETL concepts.
•Experience using Python libraries such as pandas, NumPy, scikit-learn, or similar analytical libraries.
•Familiarity with relational databases, cloud data platforms, APIs, or version-control tools such as Git.
•Exposure to machine learning, predictive analytics, generative AI, or other emerging analytical technologies through coursework or projects.
•Experience presenting an analysis, technical project, or recommendation to a classroom, project team, student organization, or business audience.
•A portfolio, GitHub repository, capstone project, or other work sample demonstrating analytical thinking and technical curiosity.
•Experience collaborating on a team-based technical, academic, or business project.
What Success Looks Like
•Learn about the team's primary business areas, data sources, reporting standards, and development practices.
•Complete assigned analysis and reporting tasks with appropriate guidance.
•Demonstrate consistent attention to data quality and business definitions.
•Ask questions early when requirements, data, or expected outcomes are unclear.
•Clearly document work so that analyses and reports can be reviewed and maintained.
•Apply feedback and show measurable growth in technical skills, business understanding, communication, and the responsible use of AI to improve work quality and efficiency.
•Progress from supporting defined analytical tasks toward independently completing smaller analyses, report enhancements, and stakeholder deliverables.
As required by the equal pay and transparency acts, the expected base salary for this position is $53K USD to $70K USD. Expected on-target earnings: $58K USD to $85K USD.
The expected pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi Vantara's bonus/variable/commission pay programs, where applicable, and are subject to the program's conditions and restrictions.
