Data Analyst

Description

We are looking for a Data Analyst to support operational teams during a period of rapid expansion by identifying inefficiencies and turning complex workflows into scalable, data-informed processes. This position combines hands-on execution with analytical problem-solving, helping teams improve productivity through automation, reporting, and measurable process improvements. Based in Concord, California, this role works closely with cross-functional stakeholders to uncover savings opportunities, strengthen data reliability, and support smarter business decisions.

Responsibilities:
Partner with internal teams to assess day-to-day processes, document workflow patterns, and uncover barriers that slow execution.
Design and implement practical automation solutions that reduce repetitive administrative work and improve operational consistency.
Analyze time, cost, and throughput data to identify inefficiencies and estimate the business value of proposed process enhancements.
Support high-volume operational periods by improving task handoffs, refining process flow, and increasing team capacity.
Create business intelligence dashboards and reporting tools that track performance metrics, productivity trends, and key operational indicators.
Develop data models that enable clear analysis of business performance and support decision-making across departments.
Connect and reconcile information from systems such as Salesforce, NetSuite, and other business platforms to provide a unified reporting view.
Maintain the accuracy and structure of operational datasets so reporting tools and business processes rely on dependable information.
Prepare data-backed recommendations and business cases to help leadership evaluate automation, tooling, and workflow redesign initiatives.

Requirements

1-3 years of experience in data analysis, business operations, strategy, process improvement, consulting, or a related analytical environment.
Demonstrated ability to evaluate workflows, quantify inefficiencies, and translate findings into measurable cost or time savings.
Strong proficiency in Excel and experience building dashboards in Power BI, Tableau, Looker, or similar business intelligence platforms.
Hands-on knowledge of process mapping, workflow optimization, and automation techniques used to improve operational efficiency.
Experience working across multiple teams and adapting quickly to new business contexts and operational challenges.
Familiarity with data modeling, systems integration, and maintaining high standards for data accuracy and consistency.
Bachelor's degree in Business, Operations, Data Analytics, Industrial Engineering, Finance, Economics, or a related field.

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