Senior Data Analyst

Weekday AI (YC W21); Chennai District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Weekday AI (YC W21) in Chennai, Tamil Nadu, India seeks an experienced Data Analytics professional to transform large, complex datasets into meaningful insights. The role emphasizes SQL proficiency, statistical analysis, and work with high-volume data platforms to support business decisions.

The ideal candidate will analyze trends, develop scalable SQL queries, and collaborate with cross-functional teams to deliver reliable, data-driven insights across the organization.

Qualifications

• 6+ years of experience in Data Analytics or similar roles.
• Proficiency in SQL for complex analysis, automation, and statistics.
• Experience with large-scale data warehouses (BigQuery/Snowflake/Redshift).

Responsibilities

• Analyze large, complex datasets to identify trends and actionable insights.
• Develop and optimize SQL queries for data analysis and reporting.
• Work with cloud data platforms (BigQuery, Snowflake, Redshift) for data processing.
• Ensure data quality and reliability across analytical outputs.
• Collaborate with cross-functional teams to translate requirements into data-driven solutions.
• Communicate findings through structured insights and presentations.

Skills

SQL

Statistical analysis

Data interpretation

Tools

BigQuery

Snowflake

Amazon Redshift

Job description

Job Description:

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟱𝟬 𝗟𝗣𝗔)

Experience: 6+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

We are looking for an experiencedData Analytics / Data Analysis professionalto transform large and complex datasets into meaningful insights that support business and operational decision-making. The ideal candidate will have strong expertise inSQL, statistical analysis, large-scale data platforms, and high-volume datasets, with the ability to identify trends, patterns, and actionable opportunities.

This role is suited for an analytical thinker who enjoys working with large datasets, solving complex business problems, and translating data into clear and reliable insights.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
• Develop and optimizeSQL queriesfor data analysis, automation, reporting, and statistical analysis.
• Work with large-scale cloud data platforms such asBigQuery, Snowflake, and Redshift.
• Analyze high-volumeevent-level, log-level, and transactional datasets.
• Build analytical datasets and perform data extraction, transformation, validation, and quality checks.
• Apply appropriate statistical techniques to evaluate data and support business decisions.
• Design and applysampling techniquesfor large datasets while maintaining analytical accuracy.
• Investigate data trends, relationships, and anomalies to identify potential business opportunities or operational issues.
• Automate repetitive analytical processes and improve the efficiency of data workflows.
• Collaborate with business and cross-functional teams to understand analytical requirements and translate them into data-driven solutions.
• Communicate analytical findings clearly through structured insights, reports, and presentations.
• Ensure data accuracy, consistency, and reliability across analytical outputs.
• Continuously improve analytical methodologies, SQL performance, and data-driven processes.

What Makes You a Great Fit

• 6+ years of professional experiencein Data Analytics, Data Analysis, or a closely related analytical role.
• Strong hands-on expertise inSQLfor complex analysis, automation, and statistical work.
• Proven experience working with large-scale data warehouses such asBigQuery, Snowflake, or Amazon Redshift.
• Experience handling high-volumeevent, log, behavioral, or transactional datasets.
• Strong understanding ofstatistical analysis, sampling methodologies, and data interpretation.
• Ability to work with complex datasets and identify meaningful patterns and relationships.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to write efficient and scalable SQL queries for large datasets.
• Experience with data validation, quality checks, and analytical accuracy.
• Strong understanding of data structures, analytical methodologies, and data-driven decision-making.
• Ability to translate complex analytical findings into clear and actionable business insights.
• Strong communication and stakeholder-management skills.
• Comfortable working independently on complex analytical problems in a fast-paced environment.