21 Market Research jobs in Kanpur
Research Analyst
Posted 4 days ago
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Job Description
About The Convergence Foundation
The Convergence Foundation (TCF) is an Indian philanthropic foundation dedicated to catalysing rapid and sustained economic growth to enhance the lives of all Indians. Established by Ashish and Manisha Dhawan in April 2021, TCF builds on their legacy of impactful philanthropy, including the founding of transformative institutions like Ashoka University and the Central Square Foundation.
Our mission is clear: to transform the lives of all Indians through rapid, sustained, and inclusive economic growth. To achieve this, we focus on seven key program areas that influence job creation, human capital development through education and skilling, and strengthening state capacity to deliver outcomes.
In each area, TCF works on:
- Building pioneering institutions to address India's most complex socio-economic challenges.
- Shaping the larger ecosystem and sharing knowledge, insights and learning with other philanthropists, governments and key stakeholders
We believe that the government is the key actor for system change, and the role of philanthropy is to strategically support the government.
The TCF Network includes 16+ organisations, each committed to addressing specific areas of India's socio-economic development, from school education and governance to women's economic empowerment and export competitiveness.
Role purpose
Build clean, useful talent intelligence so recruiters can close faster. You’ll map markets and organisations, produce high-quality longlists, keep Manatal data tight, and share simple insights on where to hunt next for TCF and partner organisations.
What you’ll do
- Turn role → search system: Convert intake into must-haves, adjacent titles, exclusion terms, and a reusable search grammar (Boolean/X-ray strings, title/skill taxonomies).
- Market sizing: Estimate pool sizes by city/company/seniority; call trade-offs early (e.g., role–location–comp constraints).
- Org deconstruction: Map target companies/teams, feeder functions, and look-alikes (incl. GCCs, Tier-2 cities); surface hidden pockets.
- Targeting strategy: Build a tiered A/B/C target company list with reasons; maintain a living watchlist of additions/drops.
- Longlist production: Ship 60–100 validated profiles per role with notes on fit signals; remove duplicates; tag properly in Manatal.
- Diversity slates: Ensure agreed representation in every slate; show viable alternates if supply is thin.
- Comp & location scan: Provide directional comp bands and city differentials from public data + our history; flag red lines early.
- Signal tracking: Monitor hiring freezes, funding rounds, org changes; refresh priors weekly.
- Outreach accelerators: Hand recruiters suggested angles and short bullets per segment (what to pitch, likely hooks); A/B subject ideas when useful.
- Data quality: Own tags, taxonomies, and a simple data dictionary in Manatal; keep an audit trail.
- Reporting: Weekly 1-pager per role—coverage %, list quality, risks/blockers, next bets. Maintain a role dashboard in Sheets.
What good looks like (first 90 days)
- Day 5: First longlist + A/B/C target list per role.
- Day 30: Org maps for top 5 companies per role family; diversity slate pattern in place.
- Day 60: Hit ≥80% coverage of agreed targets; comp/location notes standardised.
- Day 90: Stable weekly research notes; duplicate rate near zero; recruiters using your search grammar by default.
KPIs
- Time to first slate: ≤ 5 working days from intake.
- Longlist quality: ≥ 70% longlist → recruiter-accepted; ≤ 5% email bounce rate (where emails are sourced).
- Coverage: ≥ 80% of agreed target companies covered within 3 weeks.
- Conversion: ≥ 30% longlist → recruiter outreach; ≥ 15% outreach → screening call.
- Data hygiene: 100% records tagged; 0 stale trackers; privacy checklist met.
You’ll fit if you
- Have 3–6 years in any ops/research/analyst style role (KPO, market research, MIS/PMO, consulting analyst).
- Enjoy structured digging and clean spreadsheets more than “spray and pray.”
- Are strong with Excel/Sheets (filters, pivots, XLOOKUP/VLOOKUP, COUNTIFS; regex is a plus).
- Are a power user of LinkedIn search; quick to learn Manatal conventions.
- Write tight notes; handle multiple roles without dropping details.
- Like owning a system end-to-end and being judged on clarity and speed.
Nice to have
- Talent Insights or any labour-market intel tool experience.
- Light automation for data cleaning (Sheets formulas/App Script or basic Python).
- Familiarity with research/policy/consulting talent pools / environment.
Data Research Analyst
Posted today
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Job Description: Data Research Specialist – B2B Leads
Location:
Bangalore, India
About the Role:
We are seeking a highly skilled Data Research Specialist who can leverage advanced AI, data science, and automation to identify, enrich, and deliver high-quality B2B leads. This role is integral to enhancing our sales pipeline by providing actionable intelligence, predictive insights, and accurate datasets for our business development and marketing teams.
Key Responsibilities:
- - Lead Identification & Enrichment: Research and build high-quality B2B lead databases using AI/ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data (e.g., firmographics, technographics, buying signals) from multiple data sources like , Crunchbase, ZoomInfo, and industry directories.
- - Data Analysis & Predictive Modeling: Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
- - Automation & Tool Development: Build and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate LLM-based tools (e.g., LangChain, OpenAI APIs) for intelligent data extraction and enrichment.
- - Collaboration & Reporting: Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports (Power BI, Tableau, or similar) to track lead quality, conversion trends, and market opportunities. Support A/B testing of targeting strategies and provide data-driven recommendations.
- - Compliance & Data Integrity: Ensure adherence to data privacy regulations (GDPR, Indian DPDP Act) and ethical AI usage. Maintain data hygiene and prevent duplication across CRM systems like Salesforce or HubSpot.
Required Qualifications:
- - Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- - 3–5 years of experience in B2B lead research, sales intelligence, or data analytics roles.
- - Proven expertise in Python/R for data scraping, cleaning, and analysis.
- - Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium.
- - Proficiency with data visualization platforms (Power BI, Tableau) and CRM systems (HubSpot, Salesforce).
- - Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) for predictive modeling.
- - Familiarity with Gen-AI/LLM tools (e.g., ChatGPT API, Hugging Face models) for data enrichment and summarization.
Preferred Skills (Nice-to-Have):
- - Experience with vector databases or embedding-based search for advanced prospect matching.
- - Familiarity with marketing automation platforms (Marketo, Pardot).
- - Understanding of big data frameworks (Spark, Hadoop) for large-scale processing.
- - Knowledge of industry-specific B2B sales cycles (SaaS, gaming, IT services).
Data Research Analyst
Posted 4 days ago
Job Viewed
Job Description
Job Description: Data Research Specialist – B2B Leads
Location:
Bangalore, India
About the Role:
We are seeking a highly skilled Data Research Specialist who can leverage advanced AI, data science, and automation to identify, enrich, and deliver high-quality B2B leads. This role is integral to enhancing our sales pipeline by providing actionable intelligence, predictive insights, and accurate datasets for our business development and marketing teams.
Key Responsibilities:
- - Lead Identification & Enrichment: Research and build high-quality B2B lead databases using AI/ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data (e.g., firmographics, technographics, buying signals) from multiple data sources like LinkedIn, Crunchbase, ZoomInfo, and industry directories.
- - Data Analysis & Predictive Modeling: Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
- - Automation & Tool Development: Build and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate LLM-based tools (e.g., LangChain, OpenAI APIs) for intelligent data extraction and enrichment.
- - Collaboration & Reporting: Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports (Power BI, Tableau, or similar) to track lead quality, conversion trends, and market opportunities. Support A/B testing of targeting strategies and provide data-driven recommendations.
- - Compliance & Data Integrity: Ensure adherence to data privacy regulations (GDPR, Indian DPDP Act) and ethical AI usage. Maintain data hygiene and prevent duplication across CRM systems like Salesforce or HubSpot.
Required Qualifications:
- - Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- - 3–5 years of experience in B2B lead research, sales intelligence, or data analytics roles.
- - Proven expertise in Python/R for data scraping, cleaning, and analysis.
- - Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium.
- - Proficiency with data visualization platforms (Power BI, Tableau) and CRM systems (HubSpot, Salesforce).
- - Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) for predictive modeling.
- - Familiarity with Gen-AI/LLM tools (e.g., ChatGPT API, Hugging Face models) for data enrichment and summarization.
Preferred Skills (Nice-to-Have):
- - Experience with vector databases or embedding-based search for advanced prospect matching.
- - Familiarity with marketing automation platforms (Marketo, Pardot).
- - Understanding of big data frameworks (Spark, Hadoop) for large-scale processing.
- - Knowledge of industry-specific B2B sales cycles (SaaS, gaming, IT services).
Medical Writing / Research Analyst
Posted today
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Job Description
Work Hours:U.S. time zones – requires evening/night shifts in India
DAVA Oncology is a fast-growing oncology-focused consulting company headquartered in Dallas, Texas. We are recruiting for a Medical Writer and Research Analyst to join our team remotely from India . This is a fully remote position , but working hours will be based on U.S. time zones , meaning evening and night shifts will be required.
Our team members have the opportunity to work in a variety of areas, including but not limited to: clinical trial research and communications, drug or trial publication research and review, and oncology conference meeting reviews. Candidates with previous experience in the oncology therapeutic area are highly desirable.
Responsibilities:
- Conduct secondary research and acquire information from internet sources, compiling it into content.
- Interpret, analyze, and compile proprietary data in a way that delivers a compelling scientific story.
- Research, write, edit, and proof protocols, reports, and publications .
- Maintain a strong scientific understanding of oncology (or the ability to quickly gain such understanding).
- Prepare materials for major cancer conferences and internal oncology meetings .
Qualifications:
- At least 1 year of experience in oncology-focused research or writing is preferred; publication planning experience is a plus.
- Ph.D. in biology, biochemistry, organic chemistry, immunology, molecular biology, biotechnology, Pharm.D. , or other related fields.
- M.S. degree holders in the above fields with exceptional experience will also be considered.
- Authorship in prestigious, peer-reviewed journals is highly preferred.
- Experience in planning, writing, and reviewing study designs, protocols, data analysis, study reports, and regulatory documents is a plus.
- Industry experience (pharmaceutical companies, CROs, etc.) is highly preferred.
Skills & Proficiencies:
- Must be available to work during U.S. business hours (evening/night shifts in India).
- Strong written and oral communication skills ; ability to explain technical concepts clearly.
- Advanced knowledge of Microsoft Office Suite .
- Ability to work independently and collaboratively on multiple projects with tight deadlines.
- Highly motivated, organized, and detail-oriented self-starter.
- Availability to work U.S. hours (evening/night shifts in India).
Medical Writing / Research Analyst
Posted 4 days ago
Job Viewed
Job Description
Work Hours:U.S. time zones – requires evening/night shifts in India
DAVA Oncology is a fast-growing oncology-focused consulting company headquartered in Dallas, Texas. We are recruiting for a Medical Writer and Research Analyst to join our team remotely from India . This is a fully remote position , but working hours will be based on U.S. time zones , meaning evening and night shifts will be required.
Our team members have the opportunity to work in a variety of areas, including but not limited to: clinical trial research and communications, drug or trial publication research and review, and oncology conference meeting reviews. Candidates with previous experience in the oncology therapeutic area are highly desirable.
Responsibilities:
- Conduct secondary research and acquire information from internet sources, compiling it into content.
- Interpret, analyze, and compile proprietary data in a way that delivers a compelling scientific story.
- Research, write, edit, and proof protocols, reports, and publications .
- Maintain a strong scientific understanding of oncology (or the ability to quickly gain such understanding).
- Prepare materials for major cancer conferences and internal oncology meetings .
Qualifications:
- At least 1 year of experience in oncology-focused research or writing is preferred; publication planning experience is a plus.
- Ph.D. in biology, biochemistry, organic chemistry, immunology, molecular biology, biotechnology, Pharm.D. , or other related fields.
- M.S. degree holders in the above fields with exceptional experience will also be considered.
- Authorship in prestigious, peer-reviewed journals is highly preferred.
- Experience in planning, writing, and reviewing study designs, protocols, data analysis, study reports, and regulatory documents is a plus.
- Industry experience (pharmaceutical companies, CROs, etc.) is highly preferred.
Skills & Proficiencies:
- Must be available to work during U.S. business hours (evening/night shifts in India).
- Strong written and oral communication skills ; ability to explain technical concepts clearly.
- Advanced knowledge of Microsoft Office Suite .
- Ability to work independently and collaboratively on multiple projects with tight deadlines.
- Highly motivated, organized, and detail-oriented self-starter.
- Availability to work U.S. hours (evening/night shifts in India).
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