Data Research Analyst

Juego Studios; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A prominent game development studio based in Bengaluru is looking for a Data Research Specialist. This role involves leveraging AI and data science to build high-quality B2B lead databases, apply machine learning for lead scoring, and collaborate with sales and marketing teams. Candidates should have a strong background in data analytics, experience with web scraping tools, and proficiency in data visualization platforms. If you are passionate about driving business development through actionable insights, apply now.

Qualifications

• 3-5 years of experience in B2B lead research or data analytics roles.
• Proven expertise in data scraping and cleaning.
• Familiarity with Gen‑AI/LLM tools for data enrichment.

Responsibilities

• Research and build high‑quality B2B lead databases.
• Apply machine learning techniques for lead scoring.
• Build and maintain automated data scraping pipelines.
• Deliver dashboards and insight reports to track lead quality.

Skills

Python/R for data scraping

Data analytics

Data visualization platforms

Web scraping tools

Education

Bachelor’s/Master’s degree in Data Science or related field

Tools

Power BI

Tableau

HubSpot

Salesforce

Job description

Senior Recruiter at Juego Studios | Expert in Game Development & Engineering Talent Acquisition | Building Winning Teams

Job Description: Data Research Specialist – B2B Leads

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).

Senior Level

Associate

Employment Type

Full‑time

Job Function

• Business Development
• Computer Games