Data Analyst/Engineer

Ex Apple is must.

Responsibility:

• Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
• Build processes that support data transformation, workload management, data structures, dependency and metadata
• Perform data validation checks, identify and rectifying errors, and maintaining a quality standard throughout the data's lifecycle.
• Explore datasets to identify trends, patterns, and insights.
• Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
• Streamline data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
• SQL proficient (Snowflake), Tableau, Able to do prompt engineering
• DL (data lakes), ingest the data and transform
• be able to deal with large volumes of data
• ML classification, anomalies, annotation, prediction

Mandatory Skills:

• Create and improve data visualization tools like Tableau & ThoughtSpot
• Work with Snowflake & it’s built in infrastructure, SQL, Python, Excel, & Numbers
• Experience presentation/project management Tools like Quip, Keynote, Miro, Slack
• Experience and understanding of machine learning tools like datarobot
• Project Management experience
• to provide support to a wide variety of business teams
• Good Interpersonal, relationship building, communication and presentation skills