As a Data Analytics - Project Manager at Sail Analytics, you will play a crucial role in managing day-to-day project tasks related to data analytics, program management, information technology, and project planning. You will lead and oversee Data Analytics projects from inception to completion, working closely with senior management and stakeholders to define project scope, goals, and deliverables that align with business objectives. Your responsibilities will include developing comprehensive project plans, communicating project expectations clearly to team members and stakeholders, estimating resource requirements, managing project budgets, and delegating tasks effectively. You will be responsible for identifying and resolving project issues, managing dependencies and the critical path, as well as planning and tracking project timelines and milestones using appropriate tools. To qualify for this role, you should hold a Bachelor's degree in a related field such as Business, IT, or Engineering. Proven experience in project management within the IT or data analytics sector is essential, along with a strong understanding of project management software, methodologies, and best practices. Possessing a Project Management Professional (PMP) certification would be advantageous. Your analytical, organizational, and decision-making skills will be put to the test, along with your excellent interpersonal and communication abilities. If you are ready to take on the challenge of managing Data Analytics projects and driving organizational transformation through the power of data, we welcome your application.,
Role Overview: As an Architect in this role, you will be responsible for developing, testing, and maintaining scalable data warehouses and data pipelines. Your expertise in SQL, PySpark/Python, and Azure (ADB, ADF) or AWS (Glue, Lambda, Redshift) will be crucial in ensuring the efficiency and effectiveness of the data infrastructure. Key Responsibilities: - Architect, develop, test, and maintain scalable data warehouses and data pipelines - Utilize expertise in SQL, PySpark/Python, and Azure (ADB, ADF) or AWS (Glue, Lambda, Redshift) - Create databases and advanced data modeling - Prepare data structures for advanced analytics and self-service reporting Qualifications Required: - Bachelor's degree or equivalent in IT, Data Science, Analytics, Computer Science, or relevant field - Work experience with SQL, Python, Azure, or similar technologies - Minimum 2 years of experience in Business Intelligence, Data Analytics, Data Engineering, Data Science, Business Process, IT, or related fields - Proficient in English speaking and writing - Familiarity with star and snowflake schemas - Strong expertise in Query and program languages Python/PySpark, SQL Additional Details: The company requires an analytical thinker with exceptional problem-solving aptitude and expertise in Azure/AWS Cloud technologies to succeed in this role.,