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Internship Data Annotation Analyst Jobs in Ohio (NOW HIRING)

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... internships, or projects are encouraged to apply * Working knowledge of SQL (writing queries, joins ...

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... internships, or projects are encouraged to apply * Working knowledge of SQL (writing queries, joins ...

$50 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Masters and/or PhD is is ...

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Internship Data Annotation Analyst information

What is the difference between Internship Data Annotation Analyst vs Data Labeling Specialist?

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

What are the most commonly searched types of Data Annotation Analyst jobs in Ohio? The most popular types of Data Annotation Analyst jobs in Ohio are:
What cities in Ohio are hiring for Internship Data Annotation Analyst jobs? Cities in Ohio with the most Internship Data Annotation Analyst job openings:
Data Analyst

Full-time

Posted 6 days ago


Job description

Job Description:
Overview
The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed and shipped across the US, EU, Canada, and Australia. You'll develop the reporting leadership relies on, analyze carrier rates and surcharges, and respond to ad-hoc data requests that shape day-to-day business decisions. It carries a wide range of high-impact projects and significant room for ownership. Successful candidates are self-directed, organized, and eager to take problems from question through to solution.
The Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer.
Responsibilities
  • Build, maintain, and automate sales, cost, and ecommerce reporting across multiple regions and currencies
  • Develop and maintain SQL/BigQuery queries to deliver clean, reliable data to business partners
  • Analyze shipping and freight costs, including carrier rates, surcharges, dim-weight, and peak-season increases. Quantify the impact of rate changes and contract proposals
  • Maintain landed-cost, COGS, and manufacturing P&L models, including cost tracking and duty/tax reconciliation, and audit them for accuracy and variances
  • Automate recurring reporting through scheduled jobs and scripting. Reduce manual work and future-proof existing processes
  • Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing, sourcing, logistics
  • Identify issues and opportunities, then recommend and implement process and business improvements

Qualifications
  • Bachelor's degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar)
  • 0-3 years of analytics experience; new grads with strong relevant coursework, internships, or projects are encouraged to apply
  • Working knowledge of SQL (writing queries, joins, aggregations); exposure to BigQuery or another cloud data warehouse is a plus.
  • Advanced Microsoft Excel/Google Sheets skills, including building and maintaining complex models
  • Self-motivated and comfortable working in a fast-paced, deadline-driven environment with limited direction. A genuine go-getter who takes ownership
  • Strong organization and attention to detail across many concurrent projects
  • Familiarity with Python, R, or JavaScript preferred
  • Interest in or exposure to cost accounting, shipping/logistics, or manufacturing operations is a plus

By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue's preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.