Bangalore, Karnataka, India
Information Technology
Full-Time
JAGGAER
Overview
Overview
As a Senior 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
As a Senior 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.
- 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.
- 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.
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