Senior Data Analyst

Weekday AI (YC W21); Bengaluru; On-site; INR 1,600,000 - 2,500,000; Full time

Job summary

Weekday AI is seeking a Data Analyst / Senior Data Analyst to turn complex data into meaningful insights that drive business growth and strategic decision-making. This is a high-impact role for someone who enjoys working with large datasets, solving ambiguous business problems, developing analytical models, and communicating insights in a clear, actionable way.

You will work across multiple areas of the business, using data to understand performance, identify opportunities, validate hypotheses,

Qualifications

• 3+ years of experience in Data Analytics, Business Analytics, Data Science, or related field.
• Bachelors degree in Engineering, Economics, Mathematics, Statistics, or related quantitative discipline.
• Strong analytical and structured-thinking abilities with problem-solving skills.
• Proficiency in SQL, Python, R, and Excel for data manipulation and analysis.

Responsibilities

• Analyse large and complex datasets to solve high-impact business and product problems.
• Translate business requirements into analytical questions, hypotheses, and actionable insights.
• Perform data extraction, cleansing, manipulation, exploratory analysis, and statistical modelling.
• Develop and automate analytics dashboards and reporting using Tableau, Power BI, and Excel.
• Work with SQL and relational/non-relational databases to retrieve and analyse data.
• Build data models and automate recurring analyses using Python, R, SQL.
• Develop data science and predictive models using statistical and ML methodologies.
• Conduct experiments and evaluate results to support product and business decisions.
• Identify trends, anomalies, opportunities, and performance gaps through structured data analysis.
• Present complex analytical findings concisely to business stakeholders.
• Collaborate with Product, Marketing, Operations, Customer Experience, and cross-functional teams.
• Partner with Data Engineering to resolve data-quality issues and root-cause analysis.

Skills

SQL

Python

R

Excel

Data analysis

Statistics

Hypothesis testing

Problem solving

Education

Bachelor's degree in Engineering

Bachelor's degree in Economics

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Tools

Tableau

Power BI

SQL

Job description

Job Description:

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗧he salary range: 𝗥𝘀 𝟭𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟲-𝟮𝟱 𝗟𝗣𝗔)

Experience: 3+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for aData Analyst / Senior Data Analystto turn complex data into meaningful insights that drive business growth and strategic decision-making. This is a high-impact role for someone who enjoys working with large datasets, solving ambiguous business problems, developing analytical models, and communicating insights in a clear, actionable way.

You will work across multiple areas of the business, using data to understand performance, identify opportunities, validate hypotheses, and support better decisions. The role offers significant ownership and the opportunity to work on challenging problems across product, growth, operations, marketing, and customer experience.

Key Responsibilities

• Analyse large and complex datasets to solve high-impact business and product problems.
• Translate business requirements into analytical questions, hypotheses, and actionable insights.
• Perform data extraction, cleansing, manipulation, exploratory analysis, and statistical modelling.
• Develop and automate analytics dashboards and reporting using tools such asTableau, Power BI, and Excel.
• Work extensively withSQL and relational/non-relational databasesto retrieve and analyse data.
• UsePython, R, SQL, and other analytical toolsto build data models and automate recurring analysis.
• Develop data science and predictive models using appropriate statistical and machine-learning methodologies.
• Conduct experiments and evaluate results to support product and business decisions.
• Identify trends, anomalies, opportunities, and performance gaps through structured data analysis.
• Present complex analytical findings in a concise and business-friendly manner.
• Collaborate with Product, Marketing, Operations, Customer Experience, and other cross-functional teams.
• Partner with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis.
• Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices.

Whats Makes You a Great Fit

• 3+ years of experiencein Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven organisation.
• Bachelors degree inEngineering, Economics, Mathematics, Statistics, or a related quantitative discipline.
• Strong analytical and structured-thinking abilities with excellent problem-solving skills.
• Hands-on expertise inSQL, Python, R, and Excelfor data manipulation and analysis.
• Experience working with large datasets and complex data structures.
• Strong understanding of statistics, experimentation, hypothesis testing, and analytical methodologies.
• Practical experience withTableau, Power BI, or similar data-visualisation platforms.
• Ability to build analytical models and translate data into clear business recommendations.
• Strong attention to detail and a proactive approach to identifying data issues.
• Excellent communication skills with the ability to work effectively with both technical and non-technical stakeholders.
• A strong ownership mindset and curiosity to continuously explore data, challenge assumptions, and uncover insights.

Requirements: