Senior Data Analyst

We are looking for an experienced and highly skilled Senior Data Analyst to join our team at LinearB. The ideal candidate will have a strong analytical mindset, extensive experience in data analysis, and the ability to translate complex data into actionable insights. This role involves working closely with cross-functional teams to support strategic decision-making, improve business processes, and drive growth, with a focus on enhancing developer productivity and engineering metrics.

Join our team and make an impact through data-driven insights and take our reporting and research projects to the next level, creating new value at LinearB!

What You'll Do

• Analyze large, complex datasets to identify trends, patterns, and opportunities
• Conduct in-depth research on industry trends and best practices to inform data strategies
• Develop, maintain, and deliver comprehensive reports to internal stakeholders and customers using data analysis and a variety of tools, including dashboards and visualizations, tailored to LinearB's engineering performance metrics
• Generate actionable insights and identify opportunities for value creation across departments
• Offer data-driven recommendations to enhance engineering efficiency and improve team outcomes
• Act as a liaison between technical teams and business units to communicate findings effectively
• Stay updated on industry trends, tools, and technologies
  
  

• Must:
• Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field. A master’s degree is a plus
• Minimum 5 years of experience in data analysis, preferably in a senior or lead role
• Proficient in SQL, Python, and Google Sheets
• Expertise in creating compelling visualizations to communicate data insights effectively
• Strong storytelling skills to present complex data in a clear and impactful way to diverse audiences
• Excellent communication and presentation skills, including in English
• Ability to work independently and collaboratively in a team-oriented environment
• Advantage:
• Familiarity with common software engineering practices such as Git branches, pull requests, agile sprints, etc.)
• Knowledge of engineering efficiency such as metrics and tools (e.g., Git analytics, DORA metrics)
• Experience with data visualization libraries and tools such as Tableau, plotly, pandas, matplotlib, seaborn
• Experience in statistical modeling and predictive analytics
  

• Put the Customer First
• Take Ownership
• One Team
• Show Product Expertise
• Be Data Driven
• Reach for the Next Level
• Listen Curiously & Speak Courageously