Required Data Analyst
ABOUT THE POSITION
Responsibilities:
Data Feed Development:
Design and implement data feeds from external sources, ensuring accuracy, reliability, and efficiency.
Develop automated processes for data collection and ingestion, utilizing appropriate tools and technologies.
Data Scraping and Analysis:
Conduct data scraping from diverse external sources to gather relevant information.
Perform heuristic analysis and data exploration to derive insights for better prioritization of tasks and projects.
Optimization and Feedback Integration:
Continuously optimize data feeds based on feedback from researchers and analysts, improving data quality and relevance.
Collaborate closely with stakeholders to understand requirements and implement necessary adjustments.
Project Management:
Gather requirements from stakeholders and translate them into detailed Product Requirement Documents (PRDs).
Develop and execute project plans, breaking tasks into smaller manageable components.
Assign tasks to team members and freelancers, ensuring alignment with project goals and timelines.
Collaboration and Communication:
Work effectively with a diverse team of multicultural freelancers, fostering a collaborative and inclusive work environment.
Maintain clear and open communication channels to facilitate seamless coordination and feedback exchange.
Requirements: Technical Skills:
Proficient in Python programming: The ultimate person must have extensive experience in Python, capable of writing efficient, clean, and well-documented code.
Expertise in SQL: applicants should possess strong SQL skills, able to design, query, and manage databases effectively, with a focus on data manipulation and optimization.
Experience with data processing libraries: Candidates should have practical experience with PySpark and/or Pandas for data processing and analysis. Proficiency in handling large datasets and performing complex data transformations is essential.
Familiarity with AWS Services: Knowledge of AWS cloud services is required, including but not limited to EC2, S3, Lambda.
Project management skills: The role demands excellent project management capabilities, including planning, execution, and tracking project progress. The ability to manage timelines, resources, and stakeholder expectations is crucial.
Soft Skills:
Independent: The ideal candidate should be able to work independently, with minimal supervision, efficiently managing their workload and making informed decisions.
Proactive: We are looking for individuals who are proactive in nature, always looking for ways to improve processes, solve problems before they escalate, and take initiative in their work.
Self-Learner: The ability to learn new technologies and methodologies quickly and effectively is essential. Candidates should demonstrate a strong capacity for self-directed learning and staying current with industry trends.
Advantages:
candidates with experience in using Databricks for data engineering and analysis will have an advantage. Candidates whove served in the intelligence force as malware / cyber security analysts have an advantage.
Candidates whove worked in athe diverse team of professionals from different nationalities.
This position is open to all candidates.