Data Analyst

Ajinomoto Foods North America•Ontario, CA

2h•$80,000 - $100,000

About The Position

The Data Analyst partners with Finance, HR, Sales, and Marketing teams to deliver actionable insights that improve financial performance, commercial effectiveness, and operational decision-making. This is a blended Data Analyst / Business Analyst role: strong analytical and technical skills are core, paired with the ability to understand business processes, ask the right questions, and translate business needs into data-driven solutions. This role will work with complex datasets spanning ERP, financial planning, trade promotion, sales performance, and marketing analytics, helping leaders move from descriptive reporting to insight-driven decisions.

Requirements

Bachelor’s degree in a STEM-related field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics) or equivalent practical experience.
2 years experience supporting data & analytics in a complex enterprise environment
Strong analytical, critical thinking, and problem-solving skills
Proficiency in Excel (e.g., pivot tables, Power Query, complex formulas)
Working knowledge of SQL for querying and validating data.
Experience creating dashboards and reports using Power BI, Tableau, or similar tools.
Excellent communication (technical and non-technical) and teamwork skills
Interest in applying analytics to business areas (accounting, finance, HR, sales, marketing)
Minimum of 2 years of experience working in a complex enterprise environment (e.g., multi-system, cross-functional, or large-scale organization).
Eager to learn, take initiative, and contribute to a diverse team

Responsibilities

Gather, clean, validate, and reconcile data from ERP (JDE), financial systems, sales, marketing, and other internal and external sources.
Ensure data integrity, accuracy, and consistency across reporting and analytics solutions.
Partner with IT and data engineering teams to improve data pipelines, definitions, and availability.
Document data sources, assumptions, and business rules to support transparency and reuse.
Analyze datasets to identify trends, patterns, correlations, and business insights.
Perform ad hoc and recurring analyses to support business decisions and strategic initiatives such as budgeting, forecasting, margin analysis, pricing, promotions, and customer performance.
Apply statistical techniques and analytical methods to support business decisions.
Support development of predictive models or scenario-based analyses as capabilities mature.
Design, create and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.
Translate complex analyses into clear, concise visual stories tailored to executive and business audiences
Automate and standardize recurring reports to improve efficiency.
Collaborate with business units to understand data needs and translate requirements into analytical solutions.
Support strategy teams, finance, operations, and leadership with actionable insights, metrics, and solutions.
Proactively identify opportunities where data and analytics can improve decision-making, efficiency, or performance.
Provide insights and recommendations to influence decisions and improve business performance.
Follow and support data governance, security, and privacy standards.
Help define and maintain consistent metrics, KPIs, and definitions across finance and commercial reporting.
Promote best practices in data quality, documentation, and analytical rigor.