R&D And Business Intelligence Specialist

○ 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.