Role Objective

The Research Analyst will be responsible for:

• Conducting deep industry research
  
  

• Structuring and performing high-accuracy data entry into the SaaS platform
  
  

• Supporting AI model training with real-world business data
  
  

• Analyzing operations, finance, and marketing strategies
  
  

• Supporting platform positioning and go-to-market strategy
  
  

This role directly influences product quality, intelligence accuracy, and market success.

DETAILED KEY RESPONSIBILITIES

1. Industry-Level Research 

The Research Analyst will be required to research the following for each industry in detail:

A. Industry Overview

• Industry size & market value
  
  

• Growth rate & future outlook
  
  

• Key sub-segments
  
  

• Major players & competitors
  
  

• Startup vs enterprise structure
  
  

• Supply chain ecosystem
  
  

• Technology adoption level
  
  

B. Business Models & Revenue Structures

• Common revenue models (subscription, project-based, commission, etc.)
  
  

• Pricing structures
  
  

• Profit margins at different levels
  
  

• Average deal size
  
  

• Payment cycles & credit periods
  
  

• Customer lifetime value models
  
  

• Vendor vs direct-client income flows
  
  

C. Operations & Process Workflows

• Day-to-day operational processes
  
  

• Business workflow stages
  
  

• Approval hierarchies
  
  

• Resource planning
  
  

• Manpower structuring
  
  

• Vendor onboarding processes
  
  

• Vendor management systems
  
  

• Quality control processes
  
  

• Delivery timelines & turnaround time (TAT)
  
  

• Risk management systems
  
  

• Escalation frameworks
  
  

D. Financial Structure & Cost Analysis

• Fixed costs vs variable costs
  
  

• Operating expenses (OPEX)
  
  

• Capital expenses (CAPEX)
  
  

• Cash flow management systems
  
  

• Budgeting and forecasting models
  
  

• Expense approvals
  
  

• Profit & loss structure
  
  

• Balance sheet understanding
  
  

• Break-even analysis
  
  

• ROI models
  
  

• Unit economics
  
  

E. Compliance, Legal & Taxation

• Mandatory licenses & registrations
  
  

• Industry-specific compliance rules
  
  

• GST structures
  
  

• TDS applicability
  
  

• Audit requirements
  
  

• Data protection & security norms
  
  

• Contractual obligations
  
  

• Labour law requirements (if applicable)
  
  

F. Technology & Tools Used

• ERP tools used
  
  

• CRM platforms used
  
  

• Accounting software used
  
  

• Operations management tools
  
  

• HRMS tools
  
  

• Inventory & asset management systems
  
  

• AI & automation tools used
  
  

• Data analytics & reporting tools
  
  

• Integrations currently used
  
  

G. Customer Journey & Experience

• Lead generation process
  
  

• Sales funnel structure
  
  

• Customer onboarding journey
  
  

• Customer support workflows
  
  

• SLA frameworks
  
  

• Complaint resolution processes
  
  

• Retention strategies
  
  

• Upselling & cross-selling models
  
  

H. Key Challenges & Pain Points

• Operational bottlenecks
  
  

• Financial inefficiencies
  
  

• Data management issues
  
  

• Manpower productivity challenges
  
  

• Compliance risks
  
  

• Vendor reliability issues
  
  

• Delayed payments & receivables
  
  

• Process automation gaps
  
  

2. Data Entry, Structuring & Platform Intelligence Creation

The Research Analyst will be responsible for:

• Converting all research outputs into:
  
  

  • Structured datasets
    
    

  • Categorized industry modules
    
    

  • AI training inputs
    
    

• Performing accurate and validated data entry into the SaaS platform
  
  

• Maintaining:
  
  

  • Field-wise validation
    
    

  • Data normalization
    
    

  • Error-free formatting
    
    

• Updating industry data periodically
  
  

• Coordinating with tech and product teams to:
  
  

  • Ensure correct data mapping
    
    

  • Improve data-driven automation
    
    

• Maintaining:
  
  

  • Data logs
    
    

  • Version controls
    
    

  • Update reports
    
    

3. Marketing Strategy & Competitive Intelligence Research

The Research Analyst will research and analyze:

• Competitor product offerings
  
  

• Competitor SaaS pricing strategies
  
  

• Competitor marketing channels:
  
  

  • SEO
    
    

  • Ads
    
    

  • Social media
    
    

  • Partnerships
    
    

  • Influencer marketing
    
    

• Customer acquisition cost (CAC)
  
  

• Lead conversion benchmarks
  
  

• Market positioning strategies
  
  

• Branding tone & messaging used
  
  

• Feature comparisons
  
  

• Product differentiators & gaps
  
  

4. Go-To-Market (GTM) & Industry Positioning Support

• Identify:
  
  

  • Target customer segments
    
    

  • Ideal customer profile (ICP)
    
    

  • Buyer personas (Founder, CFO, Operations Head, etc.)
    
    

• Industry-specific use cases for the platform
  
  

• Feature mapping as per each industry
  
  

• Launch-phase marketing support
  
  

• Sales pitch data preparation
  
  

• Industry-specific proposal research
  
  

5. AI Model Data Preparation & Validation

• Structuring datasets for:
  
  

  • Predictive analytics
    
    

  • Automation workflows
    
    

  • Business insights engines
    
    

• Validating data accuracy for AI training
  
  

• Supporting model refinement with continuous data improvement
  
  

• Error tracking & corrections
  
  

6. Reporting, Dashboards & Management Insights

• Preparing:
  
  

  • Industry research reports
    
    

  • Market intelligence dashboards
    
    

  • Weekly & monthly research updates
    
    

• Presenting findings to:
  
  

  • Founders
    
    

  • Product team
    
    

  • Marketing team
    
    

• Actionable insights for:
  
  

  • Platform upgrades
    
    

  • Feature improvements
    
    

  • Marketing positioning
    
    

Required Skills & Qualifications

• Bachelor’s degree in:
  
  

  • Business Administration
    
    

  • Finance
    
    

  • Economics
    
    

  • Operations Management
    
    

  • Marketing
    
    

  • Data Analytics
    
    

• Strong understanding of:
  
  

  • Business operations
    
    

  • Financial management
    
    

  • Market research
    
    

  • SaaS ecosystem
    
    

• Excellent data entry, documentation & validation skills
  
  

• Strong research & analytical thinking
  
  

• Ability to understand complete business ecosystems
  
  

• Proficiency in:
  
  

  • MS Excel / Google Sheets
    
    

  • PowerPoint / Google Slides
    
    

  • Documentation tools
    
    

Preferred (Good to Have)

• Experience with:
  
  

  • SaaS platforms
    
    

  • AI-driven products
    
    

  • Market research firms
    
    

  • Startup ecosystems
    
    

• Knowledge of:
  
  

  • ERP, CRM, HRMS platforms
    
    

  • Business automation tools
    
    

• Exposure to:
  
  

  • Product-market fit analysis
    
    

  • Go-to-market strategy execution
    
    

• It is a Part Time IT / Software / Data Analyst job for candidates with 0 - 1 years of experience.