Data Analyst
1 week ago
Overview
JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.
Our 1,200+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses. For more information, visit
Position Overview
As a Data Analyst, you will play a pivotal role in shaping our data strategy, delivering actionable insights, and supporting cross-functional teams including Product, Marketing, and Customer Success. You will also manage and mentor two junior analysts, helping them grow in their roles while ensuring high-quality analytical output across the team.
Principal Responsibilities
- Lead end-to-end analytics projects from data exploration to insight delivery.
- Analyze SaaS metrics such as ARR, MRR, churn, LTV, CAC, and product usage trends.
- Build and maintain dashboards and reports using tools like Tableau, Power BI, or Looker.
- Collaborate with stakeholders to define KPIs and support data-driven decision-making.
- Write complex SQL queries and use Python/R for advanced data analysis and modeling.
- Manage and mentor two junior analysts, providing guidance, feedback, and development plans.
- Ensure data accuracy, consistency, and integrity across reporting systems.
- Partner with Data Engineering to improve data pipelines and infrastructure.
- Present findings to leadership with clear storytelling and visualizations.
Qualifications
Position Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, or related field.
- 5+ years of experience in data analytics, preferably in a SaaS or tech environment.
- Strong proficiency in SQL and experience with Python.
- Deep understanding of SaaS business models and metrics.
- Experience with BI tools (Tableau, Power BI, Looker, etc.).
- Excellent communication and stakeholder management skills.
- Proven leadership or mentorship experience.
- Ability to manage multiple projects and prioritize effectively.
________________________________________
Preferred Experience
- Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift).
- Familiarity with CRM and marketing platforms (Salesforce, HubSpot, Marketo).
- Knowledge of statistical modeling, forecasting, or machine learning techniques.
- Agile or Scrum experience in a cross-functional team environment.
Our Offer
- A positive and fun work environment in a young and motivated team
- Competitive salary, career plan
- Short communication channels and room for your creative ideas
- An international, professional environment with exciting opportunities
- An open-minded and dynamic corporate culture, training, and development
- Private health insurance, FitPass, summer and winter parties, vouchers for the most diligent employees, New Year gifts and packages for you and your children, flexible working hours, various work-life balance benefits, and much more.
Our Values
At JAGGAER, our values shape everything we do - from supporting customers and collaborating with teammates to building products and fostering our culture
Be Collaborative:
Promote mutual respect, work productively with others, and share responsibility for success
Be Accountable:
Own your actions, learn from challenges, and stay proactive to achieve results
Be Adaptable:
Embrace change, encourage innovation, and stay effective through significant transitions
JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based on race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics.
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