Lead Data Analyst

3 days ago

Pune, Maharashtra, India Amber Full time
About Amber:

Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.

We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.

If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing

Role Overview:

We are seeking an experienced Analytics Lead to drive data-driven decision-making, optimize business processes, and enhance our analytical capabilities. The ideal candidate should have a strong foundation in data analytics, ETL, data visualization, and predictive modeling. This role requires hands-on expertise in SQL, Python, Tableau/Metabase, and cloud-based data solutions (AWS/Redshift).

Key Responsibilities:

1. Data Strategy & Management

- Design, develop, and maintain scalable data infrastructure and analytics frameworks.
- Oversee the ETL process to ensure high-quality and structured data pipelines.
- Manage and optimize databases and data warehouses for performance and efficiency.

2. Data Analysis & Insights

- Extract, clean, and analyze large datasets to identify trends, correlations, and business opportunities.
- Build predictive models and statistical analyses to support decision-making.
- Develop automated dashboards and reports to monitor key performance metrics.

3. Business Impact & Decision Support

- Partner with cross-functional teams (Product, Marketing, Finance) to provide actionable insights.
- Conduct deep-dive analysis to identify growth opportunities and optimize business performance.
- Translate complex data into clear, strategic recommendations for senior leadership.

4. Leadership & Stakeholder Collaboration

- Lead a team of analysts (if applicable) and mentor junior team members.
- Present insights, reports, and business recommendations to key stakeholders.
- Stay updated with the latest industry trends, data technologies, and best practices.

Required Skills & Qualifications:

1. 6-7 years of experience in data analytics, business intelligence, or a similar role.
2. Strong proficiency in SQL and Python for data extraction, manipulation, and analysis.
3. Hands-on experience with ETL frameworks and cloud data platforms (AWS Redshift is a plus).
4. Expertise in data visualization tools such as Tableau, Metabase, or Power BI.
5. Experience in statistical modeling, trend analysis, and predictive analytics.
6. Strong analytical and problem-solving skills with keen attention to detail.
7. Ability to communicate complex data insights to non-technical stakeholders.
8. Prior experience in leading analytics projects or mentoring junior analysts.

Preferred Qualifications:

Experience with big data technologies (Spark, Hadoop) is a plus.

Exposure to machine learning models and forecasting techniques.

Understanding of business KPIs and financial metrics.

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