Data Project Manager

Requirements:
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.
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.
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:

At least 3 years of project management experience: 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.
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.
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 imp