Junior Data Analyst | Ruby Labs at Ruby Labs
Buenos Aires, Buenos Aires, Argentina -
Full Time


Start Date

Immediate

Expiry Date

28 Aug, 25

Salary

0.0

Posted On

28 May, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Tableau, Looker, Data Science, Economics

Industry

Information Technology/IT

Description

ABOUT US

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we’re always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

QUALIFICATIONS

  • Degree in an analytical field such as Math, Data Science or Economics.
  • At least 1 year of work experience as a Data Analyst.
  • Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and insights in large datasets.
  • Excellent verbal communication.
  • Ability to think strategically and make data-driven decisions that align with the organisation’s goals.
  • Experience in Product Analytics.
  • Experience with Mixpanel, GA4, Amplitude or similar.
  • Basic SQL.
  • Experience with popular BI tools such as Tableau, Looker, or similar.
Responsibilities

ABOUT THE ROLE

Ruby Labs is hiring a Junior Data Analyst to join our fast-paced and rapidly growing team. In this role, you will be working to create new reports and improve current reports, and working to ensure that we have safe, correct data to make decisions.
Work with a variety of products and clients, building their future data environment, and play a critical role in leveraging data to drive informed decision-making

KEY RESPONSIBILITIES

  • Partner with Product Owners and Data Teams.
  • Control and monitor Marketing and Product metrics in Mixpanel and Tableau.
  • Create new reports and collaborate with product owners and developers to maintain high-quality event tracking by aligning on event naming and mapping standards for new features and A/B tests.
  • Identify trends, patterns, and anomalies in data to support business insights.
  • Use SQL to get and analyse data for reports and team requests.
  • Collaborate closely with the data team to ensure consistency in reporting and data quality across the organisation.
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