Data Analyst, Cisco Meraki

• This role requires a high-level understanding of statistics and the ability to slice and dice data to meet the needs of executive stakeholders
• This position is based in Chicago, IL. The successful applicant must be physically located in Chicago or the surrounding area. Expectations of 2-3 days per week in office
• Must be authorized to work in the U.S. Now and in the Future - The position does not provide sponsorship now or in the future!
• 4 to 6 years of experience as a Business Data Analyst, Supply Chain Process & Data Analyst, Business Intelligence Analyst, Business Operations Data Analyst, or similar role along with a Bachelor's degree in Economics, Statistics, Computer Science, Business Data Science, Business, or a related field
• Strong business acumen to align data analysis with strategic objectives and transform inquiries into actionable insights. Plus strong proficiency in crafting executive-level presentations that clearly communicate complex data narratives
• Expertise in data visualization and reporting using tools such as Excel, Tableau, Power BI, and Google Data Studio to build clear and informative reports/dashboards
• Intermediate to advanced proficiency in SQL for querying databases, manipulating data, and performing advanced functions like joins and aggregations
• Intermediate proficiency in coding tools such as Python for data analysis and automation tasks
• If you enjoy working in a diverse team, are a self-starter and a hard-working Business Data Analyst who is passionate about data analysis and looking to make an impact in a fast-paced environment and drive business success, we encourage you to apply for this exciting opportunity

Desirable

• We are seeking a skilled and strategic Business Data Analyst to join our Chicago office in our Supply Chain Operations organization
• As a Business Data Analyst, you will be instrumental in understanding our business systems and processes through data analysis
• Your primary responsibility will be to build executive-level presentations that tell the story of what is happening within the organization, supporting strategic decision-making
• Drive in-depth intake processes to gather and analyze stakeholder requirements and data requests
• Collect, verify, and analyze data from multiple sources using statistical methods
• Interpret data to identify trends and patterns that support business goals, derive insights, and make predictions
• Communicate data findings effectively with various types of audiences
• Build data-driven solutions that can help influence decision-making processes
• Find opportunities for process improvement and automation