Hey Guys, I have an opening to share with you.

Roles & Responsibilities:

● Develop insights to identify opportunities and drive product strategies. Gain insight into

customer use of current products, untapped opportunities and buyer personas.

● Partner with product/business teams to define goals and identify key metrics for existing

features and new releases

● Build automated dashboards and reports, craft analyses and tell stories with data to help

our teams make better decisions

● Drive awareness and understanding of key metrics and experiment results

● Monitor the performance of new features and recommend iterations based on your

findings

● Deep dive into assessment of key drivers for KPIs by drawing relevant business

hypothesis and quantify the impact of these drivers on the relevant KPI

● Execute deep & complex quantitative analyses that translates data into actionable

insights

● Drive data driven decision making through the stakeholders.

● Work with complex, non-routine analytical problems, applying advanced methods when

needed.

● Influence data-driven decisions across the business spectrum - product/data science

/engineering/finance / partnerships - through end-to-end ownership of projects

● Collaborate and coordinate across functions to dissect business, product, growth,

acquisition, retention, and operational metrics.

Required skills & Qualifications:

● Bachelor's degree in Computer Science, Engineering or related field from top tier

(IIT/IIIT/NIT/BITS) and work experience with 1-4 years experience in a data analysis

related profile for an internet company

● The ability to clearly and effectively communicate the results of complex analyses

● Is detail oriented, with a strong passion for analytics and problem solving

● Is excited to work in a fast paced environment, is comfortable with making decisions

in ambiguity, and has a strong bias for action.

● Working knowledge of data mining principles: predictive analytics, mapping,

collecting data from multiple data systems, api frameworks, storage systems on

premises and cloud-based data sources along with strong SQL skills.

● Understanding of and experience using analytical concepts and statistical

techniques: hypothesis development, designing tests/experiments, analyzing data,

drawing conclusions, and developing actionable recommendations for business units.

● Experience and knowledge of statistical modeling techniques: GLM multiple

regression, logistic regression, log-linear regression, variable selection, etc.

● Experience with Excel, Word, and PowerPoint.

● Strong background in statistical modeling and experience with statistical tools such

R, Python, Spark, SAS or SPSS.

● Able to self-manage your priorities and deliverables while working in a fast-paced,

startup environment

● Have hands-on experience with visualization tools (Tableau, PowerBI, Qlikview, D3.Js

)

● Any exposure to the Fintech industry, preferably digital lending background, is a

plus.

If this is interesting for you then please share your resume while applying. Also, please feel free to reach out in case of any queries.

Thanks,

Raushan Ranjan Das