Senior Data Analyst | Ruby Labs at Ruby Labs
Provincia di Siena, Toscana, Italy -
Full Time


Start Date

Immediate

Expiry Date

29 Jul, 25

Salary

0.0

Posted On

29 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Economics, Looker, Data Science, Tableau

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 3+ years 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 organization’s goals.
  • Experience in Product Analytics.
  • Experience with Mixpanel, GA4, Amplitude or similar.
  • Advanced SQL knowledge.
  • Experience with popular BI tools such as Tableau, Looker, or similar.
  • Experience in subscription business.
Responsibilities

ABOUT THE ROLE

One of RubyLab’s portfolio companies is hiring an experienced Data Analyst to join our fast-paced and rapidly growing team. In this role, you will create new reports, improve current reports, and ensure that we have safe, well-modeled data to make decisions. Work with a variety of 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.
  • Create new dashboards, maintain and improve existing reports, such as Product Reports.
  • User behavior analysis, aha moment analysis.
  • Analyse data to generate actionable insights, find trends, patterns, and provide recommendations to maximize KPIs.
  • Monitor metrics.
  • Designing and building robust data models in SQL.
  • Give and receive actionable feedback to and from peers and the Leadership Team.
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