Business and Data Analyst

About Us

We’re an ambitious startup that thrives on turning raw data into meaningful insights. Our mission is to build smart, data-driven systems that power decisions and create real business impact.

We’re looking for a Business & Data Analyst who can bridge the gap between business strategy and technical execution—someone who loves data, understands business logic, and can collaborate with engineers to turn information into action.

Role Overview

As a Business & Data Analyst, you’ll work at the intersection of data, product, and business. You’ll identify data requirements, work with data engineers and scrapers to locate reliable sources, and turn unstructured information into structured insights.

You’ll also define business requirements and support decision-making through clear reporting, dashboards, and analytical storytelling.

Key Responsibilities

• Understand business goals and translate them into data requirements and measurable KPIs.
• Curate what is available in the market and define actual business needs based on product requirements.
• Collaborate with data engineers, data scrapers, and developers to identify, collect, and organize the right datasets.
• Analyze data to generate business insights, patterns, and trends.
• Design and maintain structured data models, ensuring data consistency and usability.
• Prepare data documentation, dictionaries, and mapping sheets for internal use.
• Build and maintain dashboards and reports to track business and operational performance.
• Work with stakeholders to define and refine business requirements for data products and automation tools.
• Help validate scraped or processed data to ensure accuracy and quality.
• Communicate findings clearly through visualizations, reports, and presentations that influence decisions.
• Apply strong business logic and data interpretation skills to connect insights across products.

Requirements

• 1.5–3 years of experience as a Data Analyst, Business Analyst, or a hybrid of both.
• Strong understanding of data collection, cleaning, structuring, and analysis workflows.
• Ability to write clear Business Requirement Documents (BRDs) and Data Requirement Documents (DRDs).
• Proficiency in SQL, Excel/Google Sheets, and at least one data visualization tool (Power BI, Tableau, Looker Studio, or similar).
• Good understanding of APIs, web data sources, and basic data pipelines.
• Familiarity with data formats (CSV, JSON, XML) and working with structured and unstructured data.
• Strong analytical mindset with excellent problem-solving and communication skills.
• Experience working in fast-paced, cross-functional startup environments.

Good to Have

• Experience working with data engineers or scrapers to define extraction requirements.
• Knowledge of Python (Pandas, NumPy) for quick data exploration.
• Familiarity with ETL processes and data warehousing concepts.
• Understanding of business analytics, KPIs, and metric design.
• Exposure to automation or AI-driven analytics tools.

What We Offer

• Chance to define how data is managed and used at an early-stage startup.
• Exposure to the entire data lifecycle—from collection to decision-making.
• Direct collaboration with founders, engineers, and product teams.
• Competitive compensation with ESOPs or performance bonuses.
• A culture of ownership, experimentation, and continuous learning.

Job Types: Full-time, Permanent

Pay: ₹300,000.00 - ₹500,000.00 per year

Benefits:

• Flexible schedule
• Leave encashment
• Paid sick time
• Paid time off

Work Location: In person