Senior Data Analyst (SaaS)

TL;DR

Senior Data Analyst (SaaS): Transforming complex data into actionable business insights with an accent on product strategy, metric development, and predictive modeling. Focus on building robust data models, designing impactful visualizations in Tableau, and enabling data-driven decision-making across commercial and product teams.

Location: London, UK (Hybrid/Remote)

Company

hirify.global is a leading digital platform for shift scheduling and workforce management, empowering businesses and employees globally to communicate and collaborate efficiently.

What you will do

• Collaborate cross-functionally to define and report on critical business metrics and customer insights.
• Design and maintain robust data models to ensure high-quality, actionable data assets.
• Develop impactful visualizations and dashboards using Tableau for stakeholders at all levels.
• Apply expert skills in Python, R, and SQL to manipulate complex datasets and ensure data quality.
• Conduct advanced statistical analysis and implement machine learning concepts for predictive modeling.
• Translate technical findings into compelling data narratives and presentations for diverse audiences.

Requirements

• Proven expertise in Python, R, and advanced SQL including window functions and CTEs.
• Proficiency in data storytelling and visualization tools like Tableau.
• Demonstrated experience in product opportunity sizing and building robust metric trees.
• Strong background in advanced statistical analysis, including hypothesis testing and regression models.
• Practical experience with product analytics platforms such as Mixpanel or Amplitude.
• Solid experience in designing and analyzing A/B experiments to establish causal relationships.

Culture & Benefits

• Flexible remote work and autonomous approach to tasks.
• Comprehensive benefits package including pension, health insurance, and inclusive support for new parents.
• Participation in the Employee Share Plan.
• Clear growth and career progression opportunities within the organization.
• Strong social culture with regular team activities.
• Meaningful contribution to improving the daily lives of global shift workers.