Product Analyst

• We have millions of active monthly visitors. We have access to a huge amount of data and insights, which will enable us to take our product to the next level. Our cross functional
• teams are made up of Data Scientist, Software Engineers and Data Engineers. We are solving real life, current problems, and utilizing Machine Learning / Deep Learning techniques alongside Software Development to provide our users with a unique Experience.
• We are looking for an outstanding, hands-on Business Analyst / Product Analyst, adept at not only understanding and interpreting data, but who can help us structure and scale all analytics requirements of the organization and influencing change in the organization. You should be a self -starter with an entrepreneurial spirit, able to think outside the box and take initiative. You should be smart, passionate, and dedicated to building a great business.

Responsibilities

• Take ownership of analytical projects end to end from extracting and exploring data, generating hypotheses, building a structured analysis, and rigorously evaluating methods and results.
• Provide analytical and valuable insights for decision-making support for key projects and management.
• Work closely with various business functions to identify opportunities, analyze, and interpret trends and patterns in complex data sets using different techniques and tools. You are numbers driven and have some experience generating custom reports and dashboards for end users.
• Communicate findings and propose actionable recommendations to address the problems.
  

Who you are

You thrive in a dynamic and fast-paced working environment and enjoy getting hands-on as well as collaborating with fellow analysts to come up with solutions to business users ongoing requirements.

Requirements:

• Education
• Bachelors degree in Computer Science, Statistics, Mathematics, Economics, Business or Engineering

Experience

• 24 years experience in Product Analytics domain (Freshers with relevant education background, preferably Engineering / Finance degree at Bachelors level + MBA degree from top college)
• Statistical techniques
• Strong on statistics and analytical skills to extract insights and recommendations. Technical expertise regarding data models, database designs development, data mining and segmentation techniques.

Programming and Tools

• Hands-on experience in writing advanced SQL queries and handling, wrangling, aggregating, transforming data.
• Hands-on experience in Python (good to have)
• Knowledge of data visualization tools like Tableau, MicroStrategy, QlikView etc. Proficiency in conducting complex analysis in Microsoft Excel or Google Sheets. Communication
• Ability to communicate qualitative and quantitative results clearly, succinctly and confidently in verbal and written communications.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.