Data Analyst Job in Bengaluru at Credit Saison

Credit Saison is hiring for the role of Data Analyst!

Responsibilities of the Candidate:

• 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.

Requirements:

• 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.