Data Analytics Leader

4 days ago


India Amber Full time
About Amber:

Amber is a leading student housing platform globally, making it easier for students to find and book full-time accommodations near universities without the hassle of negotiation, non-standardized paperwork, and broken payment processes.

We are rapidly growing and targeting significant annual gross bookings value. Amber has received funding from prominent investors like Gaja Capital.

Role Overview

We're seeking an experienced Analytics Lead to drive data-driven decision-making and enhance our analytical capabilities. The ideal candidate should have a strong foundation in data analytics, ETL, data visualization, and predictive modeling.

Key Responsibilities:

  • Data Strategy & Management: Design scalable data infrastructure and analytics frameworks, oversee the ETL process, and manage databases and data warehouses for performance and efficiency.
  • Data Analysis & Insights: Extract, clean, and analyze large datasets to identify trends, correlations, and business opportunities, build predictive models and statistical analyses, and develop automated dashboards and reports to monitor key performance metrics.
  • Business Impact & Decision Support: Partner with cross-functional teams to provide actionable insights, conduct deep-dive analysis to identify growth opportunities and optimize business performance, and translate complex data into clear strategic recommendations for senior leadership.
  • Leadership & Stakeholder Collaboration: Lead a team of analysts, mentor junior team members, present insights and reports to key stakeholders, and stay updated with industry trends, data technologies, and best practices.

Required Skills & Qualifications:

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


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