Market Research Analyst (Freelancer)
Soul AI · Kolkata · onsite · Posted 37d ago
Undisclosed4–8 yrsfulltimeSourced from
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About this role
About Us:
Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS
We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more
Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact
We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions
Key Responsibilities:
Conduct primary and secondary research to gather market data and trends
Analyze customer behavior, competitor strategies, and market dynamics
Prepare reports and presentations with insights and recommendations for the team
Assist in identifying new market opportunities and areas for growth
Required Qualifications:
2+ years of experience in market research and analysis
Strong knowledge of data collection methods and analysis tools (e
g
, SPSS, Excel)
Excellent analytical, communication, and presentation skills
Why Join Us
Competitive pay (‚1200/hour)
Flexible hours
Remote opportunity
NOTEPay will vary by project and typically is up to Rs
1200 per hour (if you work an average of 3 hours every day that could be as high as Rs
180K per month) once you clear our screening process
Shape the future of AI with Soul AI!
g
, SPSS, Excel)
Sourced from naukri
Skills
Market Research And AnalysisSecondary ResearchMarket ResearchApqpPPAPPoka YokeControl PlanKaizenmarket dataspssaanalysis toolsfreelancingpresentation skillsFMEATypescriptData Collectiondata analysisMarketing Strategiesmarketing
About Soul AI
Soul AI
Emerging Technologies
₹9.4L PA avg
Avg at Soul AI
About
Soul AI provides advanced AI solutions, specializing in the curation of specialized datasets to enhance the performance of large language models globally.
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