Data Consultant

Job Summary

• Engage daily with international stakeholders to understand business problems and requirements. Prior business-facing experience is essential for this role.
• Design and implement analytics strategies to solve complex business challenges.
• Develop analytics products using Power BI, Snowflake, SQL and Alteryx
• Drive process efficiency by automating manual, data-driven, non-value-added activities.
• Perform ad hoc, business-outcome-driven analytics to demonstrate the value of data and insights.
• Identify and facilitate opportunities for applying AI solutions to business problems.
• Contribute to the growth and evolution of analytics capabilities and team skillsets.

Take ownership of the end-to-end development lifecycle of analytics products, including requirements gathering, design, development, testing, deployment, and support

Key Responsibilities

• Engage daily with international stakeholders to understand business problems and requirements. Prior business-facing experience is essential for this role.
• Design and implement analytics strategies to solve complex business challenges.
• Develop analytics products using Power BI, Snowflake, SQL and Alteryx
• Drive process efficiency by automating manual, data-driven, non-value-added activities.
• Perform ad hoc, business-outcome-driven analytics to demonstrate the value of data and insights.
• Identify and facilitate opportunities for applying AI solutions to business problems.
• Contribute to the growth and evolution of analytics capabilities and team skillsets.

Take ownership of the end-to-end development lifecycle of analytics products, including requirements gathering, design, development, testing, deployment, and support

Skill Requirements

• 8+ years of experience in an analytics-focused role.

• Strong experience with data preparation, processing, and visualization across diverse data sources.
• High proficiency in SQL, Power BI, and Alteryx.
• Familiarity with Microsoft Azure environment. Familiarity with and ability to leverage AI to develop and deliver analytics products
• Strong understanding of data engineering principles and best practices.
• Experience in root cause analysis and troubleshooting technical issues.
• Demonstrated problem-solving ability with a curious mindset and experience working in agile environments.
• Advanced Excel skills, including data manipulation and reporting.
• Intermediate knowledge of statistical methods and predictive/analytical modeling techniques.
• Intermediate proficiency in Python programming.

Other Requirements