P2 - Data Management Analyst
The Team Lead is responsible for monitoring and supervising a team of Data Engineers to achieve the organization’s objectives and increase throughput and quality of the data being mined. Responsibilities include providing guidance, instruction, training, and leadership skills to inspire the team to perform at their optimum. The Team Lead has the responsibility to create a cohesive team that works efficiently together to maximize the team's potential.
A successful team leader must have a track record of team motivation and positive team results. Ultimately, a top-notch team leader will display excellent interpersonal skills to build quality relationships with its members and Trimble Leadership, be goal-driven, and manage the day-to-day activities of the team efficiently.
Team Leader Responsibilities:
Team Leadership: Lead and motivate a team of Data Engineers, setting clear goals, priorities, and expectations. Manage the day-to-day activities of the team. Conduct quarterly performance reviews. Create a pleasant working environment that inspires the team.
Project Planning: Develop project plans and strategies for web scraping initiatives, ensuring efficient and ethical data collection. Develop and implement a timeline to achieve targets.
Quality Control: Implement quality assurance processes to maintain data integrity, accuracy, and consistency across all scraping projects.
Resource Allocation: Assign tasks and projects to team members based on their skills, availability, and project requirements.
Training and Development: Provide training, mentorship, and guidance to team members to improve their web scraping skills and knowledge to maximize their potential; empowering team members with skills to improve their confidence, product knowledge, and communication skills.
Monitoring and Reporting: Oversee the progress of ongoing scraping projects, track key performance indicators (KPIs), and report to higher management.
Collaboration: Collaborate with other teams, such as data analysts, data scientists, and developers, to meet data requirements and provide support for their projects.
Technology and Tool Selection: Stay up-to-date with the latest web scraping tools and technologies, evaluating their potential to enhance the team's efficiency.
Documentation: Maintain detailed documentation of processes, methodologies, and data sources.
Team Leader Requirements:
Strong organizational and problem solving skills to give the team direction.
Effective communication and teamwork skills.
Minimum of 2 years’ experience preferred.
Proficiency in programming languages such as Python, JavaScript, or other relevant languages.
Strong understanding of HTML, CSS, and web page structures.
Familiarity with web scraping best practices, ethical considerations, and data privacy regulations.
Knowledge of data storage and database management systems.