cult.fit – Data Analyst

The Data Analyst role at cult.fit plays a critical part in driving data-backed decision-making across business operations, product teams, and customer experience functions. As a fast-growing fitness and wellness platform, cult.fit relies heavily on accurate, timely, and actionable insights to enhance operational efficiency and customer satisfaction. In this role, you will work hands-on with large datasets, transforming raw data into meaningful insights that directly influence daily operations and long-term strategy. Your analysis will help uncover trends, highlight inefficiencies, and support leadership in making informed business decisions.

This position offers a unique opportunity to collaborate closely with cross-functional teams such as Operations, Product, Technology, and Customer Experience. By building and maintaining dashboards, reports, and performance metrics, you will enable stakeholders to track business health and operational effectiveness in real time. The role demands strong analytical thinking, attention to detail, and the ability to communicate insights clearly, ensuring that data is not just collected but actively used to improve processes and outcomes.

At cult.fit, data is at the heart of continuous improvement. As a Data Analyst, you will also contribute to automating reporting workflows, improving data accuracy, and reducing turnaround time for insights. Your work will support leadership through deep-dive analyses and ad-hoc reporting, making you a key contributor to the company’s mission of creating a healthier and more active lifestyle through technology-driven solutions.

Roles & Responsibilities

• Write, optimize, and fine-tune complex SQL queries to extract accurate data from multiple sources and databases for analysis.

• Design, build, and maintain operational dashboards and reports on a daily, weekly, and monthly basis to track key performance metrics.

• Collaborate with Operations, Product, Technology, and CX teams to translate business requirements into actionable data insights.

• Analyze operational performance data to identify trends, bottlenecks, and process gaps that impact efficiency and customer experience.

• Provide data-driven recommendations to improve workflows, service quality, and overall business performance.

• Automate recurring reports and data processes to improve efficiency, consistency, and data reliability across teams.

• Support leadership with in-depth analyses, performance reviews, and ad-hoc reporting for strategic decision-making.

• Ensure data accuracy, integrity, and consistency by validating sources, cleaning datasets, and improving data quality standards.

• Monitor support and operational metrics such as SLAs, resolution rates, and customer satisfaction indicators.

• Document reporting logic, data definitions, and insights to ensure clarity and continuity across stakeholders.

Requirements & Eligibility

• 1–3 years of professional experience in data analysis, business analytics, support operations, or business operations roles.

• Strong working knowledge of SQL, with hands-on experience writing queries to explore, join, and analyze large datasets.

• Advanced proficiency in Excel or Google Sheets, including pivot tables, complex formulas, data cleaning, and analysis techniques.

• Familiarity with data visualization tools such as Tableau, Power BI, or Looker Studio to present insights clearly and effectively.

• Basic knowledge of Python, Google Apps Script, or workflow automation tools is an added advantage for improving efficiency.

• Understanding of operational and support metrics such as SLAs, resolution rates, turnaround time, and CSAT.

• Strong analytical and problem-solving skills with the ability to interpret data and derive meaningful business insights.

• Excellent communication skills to explain data findings to non-technical stakeholders in a clear and structured manner.

• High attention to detail, curiosity, and a proactive mindset to independently explore data and identify improvement opportunities.

Expected Salary

For a Data Analyst with 1–3 years of experience in Bengaluru, the expected salary typically ranges between ₹6 LPA to ₹10 LPA, depending on technical expertise, data tools proficiency, and business impact. Companies in the fitness, health-tech, and consumer-tech domains may also offer performance-based incentives and growth opportunities. Compensation can vary based on skills in SQL, automation, and data visualization, along with the candidate’s ability to drive actionable insights.

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