Position: Mid-Senior level
Job type: Full-time
Job content
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:
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.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.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.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.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.
Deadline: 06-07-2024
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