Business Analyst/Data Analyst

About SalaryBox :


SalaryBox is a solution that makes employee management effortless.
Our product offers a range of features, from time and attendance tracking to employee payments, and much more. We help small businesses manage their payroll by eliminating the hassle of manual, paper-based processes with our service, you'll always know what you owe employees when payments are due, and who's been paid.

With our automated system, you can have your payroll processed in seconds, right from the palm of your hands. Our customers enjoy peace of mind knowing their company is following all regulations.

Founded in 2020, we have raised capital from top-tier investors including Y Combinator, DoorDash Inc.’s Gokul Rajaram, former Tinder and Spotify executive Sriram Krishnan and former Facebook executive Anand Chandraskeran.

Our values are rooted in Customer Empathy & a relentless obsession with Product Innovation. Our passion to build an extremely useful and usable product has helped us grow significantly within a small span of time.
Website : https://www.salarybox.in/
LinkedIn : https://www.linkedin.com/company/salaryboxapp

Role Overview

We’re looking for a highly analytical and detail-oriented Data Analyst/Business Analyst who can turn data into insights that drive business decisions. In this role, you'll work with complex data sets to identify trends, optimize processes, and support strategic decision-making across the organization. Familiarity with AI-driven tools and data modeling will be a key advantage.

Key Responsibilities

• Identify, analyze, and interpret trends and patterns in complex data sets.
  

• Use data to drive business insights and generate regular, insightful reports.
  

• Develop and implement databases, data pipelines, and analytics systems to improve efficiency and data quality.
  

• Extract data from primary and secondary sources, and maintain databases/data systems.
  

• Clean, filter, and validate data to ensure consistency and accuracy.
  

• Collaborate with cross-functional teams and management to define data needs and prioritize information requirements.
  

• Support process optimization initiatives using data-driven strategies.
  

• Apply AI (basic to intermediate) to automate data processing and enhance analysis
  

  
  
  
  
  

Requirements

• 1-3 years of proven experience as a Data Analyst or in Business Data Analysis
  

• Strong command over Excel, Power BI, Tableau, and other data visualization tools
  

• Proficiency in SQL, data querying, and working with large relational databases
  

• Exposure to AI/ML tools or platforms (e.g., Python for data science, AutoML, ChatGPT API integration, or similar) will be an addition.
  

• Strong analytical and problem-solving skills with high attention to detail and data accuracy.
  

• Excellent communication and presentation skills with the ability to explain complex insights to non-technical stakeholders.
  

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field.
  

• Ability to work flexibly, multitask, and exercise sound judgment in a fast-paced environment.
  

  
  

What You’ll Gain

• Opportunity to work on high-impact projects in a data-driven organization.
  

• Exposure to real-world applications of AI in analytics and business intelligence
  

• Collaborative, growth-oriented work culture.
  

• Competitive compensation and benefits.