About The Opportunity
A fast-growing technology company operating in the enterprise SaaS and digital identity/transaction-security analytics sector. The team builds scalable analytics platforms that turn high-volume transaction and telemetry data into actionable product, risk, and operational insights. This is a hybrid role based in India, collaborating closely with product, engineering, and business stakeholders.
Role & Responsibilities
- Author, optimize, and maintain complex SQL queries and ETL processes to prepare reliable datasets for reporting and analytics.
- Design and deliver interactive dashboards and visualizations (Power BI / Tableau) that surface product metrics, performance trends, and risk signals to stakeholders.
- Perform exploratory and statistical analyses using Python to identify patterns, drivers, and opportunities for product and operational improvements.
- Implement data-quality checks, anomaly detection, and monitoring to ensure accuracy and timeliness of metrics.
- Partner with product managers, data engineers, and business teams to translate requirements into measurable KPIs, experiments, and action-oriented insights.
- Automate recurring reports and analyses, document data definitions and lineage, and present findings with clear recommendations to cross-functional audiences.
Skills & Qualifications
Must-Have
- SQL
- Python
- Excel
- Power BI
- Tableau
- Data modeling
Preferred
Additional Qualifications
- Bachelor's degree in a quantitative field (or equivalent experience) and 2+ years of hands-on analytics experience preferred.
- Proven ability to translate data into business recommendations and communicate findings to non-technical stakeholders.
Benefits & Culture Highlights
- Hybrid work model with flexible in-office days and a collaborative, learning-focused environment.
- Opportunities for upskilling in cloud analytics, data engineering, and machine-learning applications.
- Competitive compensation, performance-linked incentives, and career progression into senior analytics or product roles.
Primary title used for sourcing and job-platform optimization: Data Analyst
Skills: data modeling,looker,power bi,excel,tableau,git,sql,snowflake,python
