As a Technical Project Lead, you will be responsible for managing and overseeing the execution of technical projects, ensuring timely delivery within budget and scope. Your role involves leading a team of technical experts, coordinating project activities, and delivering robust technology solutions that meet business requirements.
Key Responsibilities:
- Lead a team of data analysts in designing, developing, and implementing data analytics solutions to meet business objectives.
- Work closely with stakeholders to gather business requirements and translate them into technical specifications and data analytics solutions.
- Design and architect data models, pipelines, and ETL processes for extracting, transforming, and loading data from diverse sources into analytical datasets.
- Manage the development and upkeep of data warehouses, data lakes, and analytical databases to enable reporting, analysis, and data visualization.
- Establish and enforce best practices for data governance, quality, and security to maintain the integrity and reliability of data assets.
- Assess and select tools, technologies, and platforms for data analytics based on scalability, performance, and cost-efficiency.
- Provide technical leadership and mentorship to team members, supporting their professional growth.
- Drive the execution of data analytics projects from concept to completion, ensuring timely delivery aligned with business goals.
- Collaborate with cross-functional teams, including data engineering, software development, and business intelligence, to integrate data analytics solutions into broader business processes and applications.
- Stay informed about industry trends, emerging technologies, and best practices in data analytics and data science, integrating them into team workflows and methodologies.
Qualifications:
- Proven experience (5+ years) in data analytics, data engineering, or related fields, with a focus on designing and implementing data solutions.
- Expertise in SQL and experience with relational databases like MySQL, PostgreSQL, or SQL Server.
- Proficiency in data modeling, data warehousing, and ETL tools and methodologies.
- Strong programming skills in languages such as Python, R, or Java for data analysis and processing.
- Hands-on experience with data visualization tools such as Tableau, Power BI, or D3.js.
- Excellent analytical and problem-solving skills with a high attention to detail.
- Demonstrated leadership and communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
