Ruby Labs01.02.26
AI SCORE 8.5

Senior Data Analyst - Remote Opportunity at Ruby Labs

$90K–$120K/year

About the Role

Ruby Labs is hiring a Senior Data Analyst to join our fast-paced and rapidly growing team. This Senior Data Analyst remote position will allow you to work with a variety of clients to build their future data environment and play a critical role in leveraging data to drive informed decision-making.

What You'll Do

  • Partner with Product Owners and Data Teams to create new dashboards and maintain existing reports.
  • Conduct user behavior analysis and aha moment analysis.
  • Analyze data to generate actionable insights, find trends, patterns, and provide recommendations to maximize KPIs.
  • Monitor metrics and design robust data models in SQL.
  • Give and receive actionable feedback to and from peers and the Leadership Team.

Requirements

  • 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 skills.
  • Experience in Product Analytics and familiarity with tools like Mixpanel, GA4, or Amplitude.
  • Advanced SQL skills and experience with popular BI tools such as Tableau or Looker.

Nice to Have

  • Experience in Marketing Analytics.
  • Familiarity with Python and GCP, BigQuery.
  • Experience with orchestration frameworks such as Airflow or dbt.

What We Offer

  • Remote Work Environment: Embrace the freedom to work from anywhere, promoting a healthy work-life balance.
  • Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being.
  • Paid National Holidays: Celebrate national holidays with paid time off.
  • Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks.
  • Flexible Independent Contractor Agreement: Benefit from flexibility and autonomy.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Analyst role at Ruby Labs offers an exciting opportunity to work remotely while driving data-driven decisions in a fast-paced environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Ruby Labs

Explore Ruby Labs careers in 2026 and discover exciting job opportunities tailored to your needs. Browse remote, hybrid, and office positions while utilizing advanced filters for a streamlined job search. Leverage our application tracking system and gain valuable insights into company culture to find the perfect fit at Ruby Labs. Start your journey today and shape your future with us!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in SQL and Python for complex data manipulation and analysis, with a strong ability to automate reporting processes and streamline data workflows.

Self-motivated and disciplined in a remote work environment, capable of managing time effectively and prioritizing tasks without direct supervision.

Experience in using visualization tools like Tableau and analytics platforms such as GA4 and Amplitude to create insightful dashboards that drive business decisions.

Learning Resources

SQL for Data Sciencecourse

Career Path

Senior Data Analyst(Now)Data Analytics Manager(2-4 years)Director of Data Analytics(5-7 years)

Market Overview

SQL Market Size 2024
$8.5B
SQL Annual Growth
11.3%
AI Adoption in Data Analysis
65%
Investment in Data Analytics Tools
+45%
Labour Demand for Data Analysts
+25%
Avg Salary for Senior Data Analyst
$95K

Skills & Requirements

Required
SQLTableauGA4
Growing in Demand
Machine LearningData VisualizationCloud Data Warehousing
Declining
Excel for Data AnalysisTraditional Data Warehousing

Domain Trends

Rise of AI in Data Analytics
65% of organizations are adopting AI-driven analytics tools to enhance data insights and decision-making.
Shift to Cloud-Based Data Solutions
Over 70% of businesses are migrating to cloud data warehousing solutions, increasing demand for skills in platforms like Snowflake and Google BigQuery.
Emphasis on Real-Time Data Analysis
Real-time data processing is becoming crucial, with a reported 60% of companies prioritizing real-time analytics for better operational efficiency.

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