Data Analyst / Senior Data Analyst - DS & Analytics

Creditsaison; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Creditsaison in Bengaluru is seeking a Data Analyst to develop insights that drive product strategies and decision-making. The role involves building automated dashboards, conducting quantitative analyses, and working across multiple teams and functions.

The ideal candidate has a Bachelor's degree in Computer Science or a related field, along with 1–4 years of relevant experience. Strong skills in SQL, statistical modeling, and data visualization are necessary. Fast-paced working experience in the fintech industry is a plus.

Qualifications

• 1–4 years of experience in a data analysis related profile for an internet company.
• Ability to effectively communicate the results of complex analyses.
• Detail-oriented with a passion for analytics.

Responsibilities

• Develop insights to drive product strategies and customer understanding.
• Partner with teams to define goals and metrics for features.
• Build automated dashboards and reports to support decision-making.

Skills

Data analysis

SQL

Statistical modeling

Data visualization

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Engineering or related field

Tools

R

Python

Spark

SAS

Tableau

PowerBI

Job description

Roles & Responsibilities

• Develop insights to identify opportunities and drive product strategies, gaining 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 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 & complex quantitative analyses that translate data into actionable insights.
• Drive data-driven decision making through 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, partnership – 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 a top tier (IIT/IIIT/NIT/BITS) and 1–4 years experience in a data analysis related profile for an internet company.
• Ability to clearly and effectively communicate the results of complex analyses.
• Detail oriented, with a strong passion for analytics and problem solving.
• Excited to work in a fast-paced environment, 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 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 as R, Python, Spark, SAS or SPSS.
• Able to self-manage priorities and deliverables while working in a fast-paced, startup environment.
• Hands-on experience with visualization tools (Tableau, PowerBI, Qlikview, D3.Js).
• Exposure to the fintech industry, preferably digital lending background, is a plus.