Full-Time Data Strategist

• Collect and organize data from various sources (revenue, product usage, customer insights, etc.), analyze it, and develop data-driven recommendations for leadership.
• Conduct research and provide analysis to support changes or improvements in business practices.
• Recommend process improvements and operational efficiencies within the department and across divisions.
• Support the automation of data reporting tools and create clear, user-friendly data visualizations.
• Develop analytical frameworks to better understand customer behavior and trends.
• Assist with the configuration, testing, and maintenance of enterprise Customer Relationship Management (CRM) systems to enhance business operations and customer processes.
• Contribute to the development, automation, and validation of KPI reports.
• Help design, document, and maintain operational processes to ensure consistency and efficiency

• Advanced Excel skills, including data manipulation, automation, and visualization using formulas, pivot tables, and Power Query.
• Proficient in Power BI and SOL, with experience designing interactive dashboards and delivering data-driven insights.
• Experience with Microsoft Power Apps or Power Automate to streamline workflows, improve efficiency, and support process automation.
• Knowledgeable in data modeling techniques and data management best practices.
• Skilled in developing clear, compelling presentations, primarily using PowerPoint.
• Strong collaboration skills, with the ability to work effectively across multiple divisions and teams, including Sales, Marketing, Finance, and Product.
• Highly organized, with excellent time management, planning, and attention to detail.
• Able to translate complex data and technical concepts into clear, actionable insights.
• Demonstrates leadership and initiative in managing projects and delivering results.
• Comfortable working independently as well as collaboratively in a team environment.
• Holds a Bachelor’s degree in Industrial and Systems Engineering, Business Analysis, Business Administration, Data Analytics, or a related field.

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