Data Analyst

Job Summary We are seeking an experienced Lead Data Engineer with 8 to 12 years of expertise in Snowflake Machine Learning Python and SQL scripting. The role involves analyzing complex datasets deriving actionable insights and contributing to data-driven decision-making in a hybrid work model with day shifts.

Responsibilities

• Analyze large and complex datasets to identify trends patterns and actionable insights that align with business objectives
• Develop and maintain scalable data pipelines using Snowflake to ensure efficient data storage and retrieval
• Apply machine learning techniques to solve business problems and improve predictive analytics capabilities
• Write efficient and optimized SQL scripts to query and manipulate data for reporting and analysis
• Collaborate with cross-functional teams to understand data requirements and provide solutions that meet organizational goals
• Create and maintain dashboards and visualizations to present data insights in a clear and impactful manner
• Ensure data accuracy and integrity by implementing robust data validation and quality checks
• Provide technical expertise in Python programming to automate data processing tasks and streamline workflows
• Conduct exploratory data analysis to uncover hidden insights and opportunities for business growth
• Stay updated with industry trends and advancements in data analytics and machine learning to continuously improve processes
• Document data processes methodologies and findings to ensure knowledge sharing and continuity
• Support ad-hoc data analysis requests and deliver timely insights to stakeholders
• Collaborate with IT teams to ensure seamless integration of data systems and tools. Qualifications
• Demonstrate strong proficiency in Snowflake for data warehousing and analytics
• Showcase expertise in machine learning algorithms and their practical applications
• Exhibit advanced skills in Python programming for data manipulation and automation
• Possess deep knowledge of SQL scripting for querying and managing relational databases
• Display excellent problem-solving skills and the ability to work with complex datasets
• Have a solid understanding of data visualization tools and techniques
• Show familiarity with data governance and best practices for ensuring data quality
• Demonstrate effective communication skills to present findings to non-technical stakeholders
• Possess a bachelors degree in computer science data analytics or a related field
• Hold a proven track record of delivering impactful data-driven solutions in previous roles
• Exhibit strong collaboration skills to work effectively with cross-functional teams
• Show adaptability to hybrid work environments and the ability to manage tasks independently.

Certifications Required Snowflake Certified Data Engineer Python for Data Science Certification SQL Programming Certification