Jobs โ€บ Companies โ€บ Weekday AI โ€บ Senior Data Analyst

รœber diese Senior Data Analyst Stelle bei Weekday AI

Weekday AI ยท Vor Ort ยท Chennai, Tamil Nadu, India

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿฎ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿฎ๐Ÿฑ-๐Ÿฑ๐Ÿฌ ๐—Ÿ๐—ฃ๐—”)

Experience: 6+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

We are looking for an experiencedย Data Analytics / Data Analysis professionalย to transform large and complex datasets into meaningful insights that support business and operational decision-making. The ideal candidate will have strong expertise inย SQL, 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.

Requirements

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
  • Develop and optimizeย SQL queriesย for data analysis, automation, reporting, and statistical analysis.
  • Work with large-scale cloud data platforms such asย BigQuery, Snowflake, and Redshift.
  • Analyze high-volumeย event-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 applyย sampling techniquesย for 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 experienceย in Data Analytics, Data Analysis, or a closely related analytical role.
  • Strong hands-on expertise inย SQLย for complex analysis, automation, and statistical work.
  • Proven experience working with large-scale data warehouses such asย BigQuery, Snowflake, or Amazon Redshift.
  • Experience handling high-volumeย event, log, behavioral, or transactional datasets.
  • Strong understanding ofย statistical 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.
Bereit, sich bei Weekday AI zu bewerben?
Bei Weekday AI bewerben

รœber Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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