A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities

• Data Strategy and Vision:
• Develop and drive the company's data analytics strategy, aligning it with overall business goals.
• Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.
• Data Analysis and Interpretation:
• Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.
• Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.
• Data Infrastructure and Tools:
• Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.
• Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.
• Collaboration and Stakeholder Management:
• Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.
• Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.
• Performance Measurement:
• Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.
• Continuously assess and improve the accuracy and relevance of analytical models and methodologies.
  
  

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie
  
  

Skills:- Data Analytics, Python, Data Visualization and SQL