Senior Data Analyst

Job Description : 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 hypotheses and quantifying the impact of these drivers on the relevant KPI. - Execute deep and complex quantitative analyses that translate 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 a related field from a top institution (IIT/IIIT/NIT/BITS) and work experience with 1-4 years of 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 ambiguous decisions, 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 R, Python, Spark, SAS, or SPSS statistical tools. - 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 a digital lending background, is a plus. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/2/2025