Job Description

Position Overview:

We are seeking a skilled and experienced Data Analytics Team Lead to join our dynamic team. The ideal candidate will have a strong background in data analytics and engineering, with proficiency in cloud-based serverless architecture, particularly on Azure and GCP platforms. The candidate should possess leadership qualities to effectively lead the development of data analytics projects, support a growing team, and enhance our customer base globally.

 

Key Responsibilities:

1. Team Leadership and Development:

• Lead and mentor a team of data analysts and engineers, ensuring effective coordination and collaboration within the team.

• Lead the development of data analytics projects, from inception to delivery, ensuring adherence to project timelines and quality standards.

• Provide technical guidance and support to team members, fostering a culture of innovation and excellence.

2. Project Coordination:

• Utilize Jira to plan, track, and coordinate project activities.

• Work closely with stakeholders to gather project requirements and ensure alignment with client expectations.

• Implement established processes for project coordination and execution, ensuring efficient resource allocation and risk management.

3. Data Engineering and Architecture:

• Design and implement robust data engineering pipelines on Azure and GCP platforms, ensuring efficient data ingestion, processing, and storage.

• Lead efforts to fetch data from external sources and set up data warehouses in the cloud, optimizing for scalability and performance.

• Collaborate with data analysts to develop star schema models based on client requirements, facilitating efficient data retrieval and analysis.

4. Visualization and Reporting:

• Lead the team to develop interactive visualizations and dashboards using Power BI or similar tools.

• Ensure the accuracy and relevance of data visualizations, providing actionable insights to clients for informed decision-making.

5. Integration of Advanced Technologies:

• Anticipate and plan for the integration of machine learning, artificial intelligence, and forecasting techniques into data analytics projects.

• Stay updated on emerging technologies and industry trends, exploring opportunities for innovation and improvement in data analytics solutions.

 

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field.

• 4+ years of professional experience in the IT Industry.

• Proven experience (2 years) in data analytics and engineering, with a focus on cloud-based solutions and architecture.

• Strong proficiency in Azure and GCP platforms, including services such as Azure Functions, Azure Data Factory, Google Cloud Functions, Google BigQuery, etc.

• Excellent leadership and communication skills, with the ability to effectively lead a team and interact with clients globally.

• Experience with project management tools such as Jira, ensuring efficient project planning, tracking, and execution will be a plus.

• Proficiency in Python for data analysis, scripting, and automation tasks.

• Prior experience in leading the development of data engineering pipelines, implementing data visualization techniques, and utilizing reporting tools like Power BI.

• Strong problem-solving and analytical skills.

• Excellent communication and interpersonal skills for effective customer engagement.

• Familiarity with machine learning, artificial intelligence, and forecasting concepts, with a keen interest in integrating these technologies into data analytics projects.