Finance Analytics Intern: Build Dashboards & Data Pipelines

cbrands

City of Rochester (NY)

On-site

USD 26,000 - 41,000

Full time

2 days ago
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Benefits offered by this job

Paid time off
Medical/dental/vision insurance
401(k)

Job summary

Constellation Brands is seeking an Intern in Finance Analytics to develop automated solutions for a global organization. You will analyze, develop, support, implement and scale dashboards in a fast-paced enterprise environment.

The role involves collaborating with BI engineers and stakeholders to gather requirements, building data pipelines, and delivering reliable analytic data products while maintaining high data quality and documentation across projects.

Qualifications

  • Pursuing education in Computer Science, Math, Physics, or equivalent.
  • Team player with strong communication.
  • Willingness to own projects and tasks.
  • Excellent written and oral communication.
  • Able to operate in a dynamic environment.

Responsibilities

  • Collaborates with BI Engineer and stakeholders to understand BI needs and deliver analytic data products.
  • Develop and maintain data quality checks to ensure data timeliness and accuracy.
  • Produce and maintain end-to-end data pipelines aligned with data engineering principles.
  • Create and maintain project documentation using Jira, Confluence, Git, etc.
  • Investigate and remediate issues as required.
  • Propose simple, impactful solutions and challenge the status quo.

Skills

SQL
Data analysis
Python

Education

Pursuing Computer Science/Math/Physics

Tools

Git
Jira
Confluence
Tableau
Power BI
MicroStrategy

Job description

Constellation Brands is seeking an Intern in Finance Analytics to develop automated solutions for a global organization. You will analyze, develop, support, implement and scale dashboards in a fast-paced enterprise environment.

The role involves collaborating with BI engineers and stakeholders to gather requirements, building data pipelines, and delivering reliable analytic data products while maintaining high data quality and documentation across projects.

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