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Analytics Engineer Intern

Benzinga

Role overview

Qualifications

  • Currently enrolled in an undergraduate program in Data Analytics, Business Analytics, Economics, Information Systems, Computer Science, or a related quantitative field.
  • Basic SQL proficiency: comfortable with SELECT, JOIN, GROUP BY, and simple aggregations.
  • Basic familiarity with version control concepts, such as using Git.

Responsibilities

  • Write SQL that transforms raw data into structured datasets as part of a data pipeline and turn it into something a dashboard can use.
  • Support existing reporting and develop new reporting and dashboard work.
  • Build a deliverable project: design and build SQL data models connecting to a source dataset, build a Looker Studio dashboard, validate with a stakeholder, and present both the dashboard and the findings uncovered along the way.
  • Conduct data quality checks and learn to identify and troubleshoot common data issues.

Key facts

  • Remote from: Michigan (USA)
  • Internships
  • Entry-level / graduate
  • Analytics Engineer
  • English

Hard skills

Other skills

  • Problem Reporting
  • Collaboration
  • Problem Solving

About the company

Benzinga logo

Benzinga

Information Services & Data Providers

We help millions of people improve their trading and investing results each month by providing superior market information, data and tools. Benzinga gives traders and investors the edge needed to profit in the markets. We are devoted to the ambitious mission of transforming the financial industry and empowering the individual investor. Benzinga's core businesses include: Financial Media: http://benzinga.com Trading & Research Terminal: http://pro.benzinga.com Financial, Market, and Alternative data APIs: http://cloud.benzinga.com Our KICK ASS team works and hustles harder than anyone! We are looking for folks with the fire and determination to not just work, but to build a company. Individuals who can take a vision, and build towards it...not just take tasks from a higher power. The search for the driven, dedicated, and self-starting Zingers to help propel Benzinga to the next level is on! Are you looking for your work to be valued? Do you want to know that the work you do everyday makes a huge impact on the business? You are not just a number here at Benzinga, our “leave your ego at the door”, teamwork-oriented environment allows you to be yourself and offer all your sweetest ideas and feedback freely without any judgement. Zinger Nation believes in "doarchy"​ not "hierarchy"​. If you are interested in doing business with Benzinga or joining the team, please contact us. Check our careers site at jobs.benzinga.com

Company details

Company typeSME
IndustryInformation Services & Data Providers
Company size51 - 200

Links

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Job description

Job Description

Benzinga is seeking an Analytics Engineering Intern to join our Data Science team for a 12-week, part-time, remote internship. This is an analytics and business-intelligence-focused role centered on data modeling, dashboards, and data interpretation — not a software engineering role. You will build SQL data models within our data pipeline framework and design meaningful dashboards, assess data quality, and translate raw data into insights stakeholders can act on.

Key Responsibilities

  • Write SQL that transforms raw data into structured datasets as part of a data pipeline and turn it into something a dashboard can use.
  • Support existing reporting and develop new reporting and dashboard work.
  • Build a deliverable project: design and build SQL data models connecting to a source dataset, build a Looker Studio dashboard, validate with a stakeholder, and present both the dashboard and the findings uncovered along the way.
  • Conduct data quality checks and learn to identify and troubleshoot common data issues.
  • Collaborate with a stakeholder to ensure a dashboard deliverable actually answers the business question being asked, not just the question as first stated.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Use AI coding assistants as a tool to accelerate work, with the expectation that all code is understood, verified, and can be explained rather than accepted at face value.

Qualifications

  • Currently enrolled in an undergraduate program in Data Analytics, Business Analytics, Economics, Information Systems, Computer Science, or a related quantitative field.
  • Basic SQL proficiency: comfortable with SELECT, JOIN, GROUP BY, and simple aggregations
  • Basic familiarity with version control concepts, such as using Git.

Preferred Experience

  • Exposure to a BI/visualization tool (Looker Studio, Tableau, Power BI)
  • Familiarity with GitLab or GitHub merge request/pull request workflow.
  • Exposure to web application, marketing, or financial/media data.
  • Prior experience using AI coding assistants (Claude Code, GitHub Copilot, ChatGPT) for coursework or personal projects.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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