Job Description

Sr. Data Analyst

Position:Sr. Data Analyst
About the Company
At Assetmonk, we pride ourselves on being a cutting-edge platform in the alternative investments space, specializing in curating non-traditional opportunities in the most demanded real estate segments. Our primary focus is to offer value investors the chance to participate in these unique investment opportunities. Our company culture values innovation and embraces the constant evolution of our industry. Working with us means being exposed to new and innovative ideas regularly, ensuring that you stay engaged and up-to-date with the latest trends and technologies. We believe that this dynamic environment keeps things interesting and encourages continuous learning and growth. Furthermore, our dedication to our employees is evident through our strong emphasis on professional development. We are committed to providing the necessary resources and support to help our team members thrive and advance within the organization.

About this Job
This role demands close collaboration with Business, Product and the Data Science team in driving critical experiments, analysing product and business strategies for impact, in building simple predictive models and laying the foundation for product and business roadmap for the coming half.

Roles & Responsibilities

  • Analyse data and derive insights using various statistical techniques and data visualization libraries to answer critical questions
  • Partner with Product and Business teams to help make decisions based on these insights.
  • Identify Product and business opportunities and support to help in creating pilot settings through experimentation using best practices.
  • Build first cut machine learning models (good to have)
  • Automate data extraction and transformation pipeline.

Skill Set:

  • 3-6 years’ experience in business statistics and product analytics.
  • Strong business sense and data driven-ness.
  • Expert in SQL & Python with strong experience in data visualization and dashboarding tools.
  • Data extraction and mapping. Strong in ETL
  • Building products as end-to-end data solutions (from extracting data, to analysis, data pipeline set up and scalable deployment)
  • Ability to disambiguate loosely-defined business and product problems and create a roadmap for analysis and experimentation.

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