Sr. Data Analyst

2 days ago

Greater Hyderabad Area, India JAGGAER Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

  • 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.

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.

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