R&D And Business Intelligence Specialist

● Research & Development:

○ Spearheaded groundbreaking R&D initiatives, exploring cutting-edge new technologies. ○ Conduct in-depth statistical analysis, data mining, and visualization to fuel informed decision-making.

● Product Innovation:

○ Drive the creation of new technologies and tech products ready for successful market integration. ○ Contribute to the development and deployment of cutting-edge solutions. ● Market Research & Analysis: ○ Lead comprehensive market analysis efforts to identify and capitalize on growth opportunities. ○ Define tends strategic directions for Blackstoneeit based on meticulous research. ● Business Development Support: ○ Provide crucial data-driven insights for presales and business development activities. ○ Champion Blackstone. It is committed to delivering exceptional tech solutions. ● Advanced Data Analysis: ○ Dive deep into diverse datasets, extracting meaningful insights through advanced statistical techniques. ○ Leverage statistical models for accurate predictive and prescriptive analytics. ● Data Mining Expertise: ○ Utilize sophisticated data mining techniques to unlock hidden patterns and trends. ○ Translate data insights into actionable recommendations for strategic decision-making. ● Data Visualization Mastery: ○ Construct visually compelling data visualizations that communicate complex findings with clarity. ○ Develop impactful dashboards for effective presentation of key insights. ● Data Scraping Proficiency: ○ Extract data efficiently from various sources using advanced scraping techniques. ○ Ensure the accuracy and reliability of data acquired through scraping.

Requirements

• Bachelor's degree in Computer Science, Information Technology, marketing, or a related field. ● Fresh Grads or 2-4 years of experience in Research, Business Intelligence, AI, or Research Automation. ● Strong analytical and problem-solving skills. ● Proven commitment to continuous learning and staying updated with the latest trends and AI/ML technologies. ● Strong analytical and problem-solving skills. ● Experience with data warehousing concepts and methodologies. ● Knowledge of data visualization best practices. ● Excellent communication and interpersonal skills. ● Ability to work effectively in a fast-paced, collaborative environment. ● Experience with cloud platforms (e.g., AWS, Azure) is a plus. ● Knowledge of programming languages (e.g., Python, R) is a plus.

Originally posted on Himalayas