Isagenix International is looking to analyze complex data sets to uncover actionable insights that support key business decisions and strategies
Requirements
- Proficiency in data analysis tools and languages (e.g., SQL, Python, R)
- Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, Sigma)
- Strong understanding of data modeling, business metrics, and KPIs relevant to various business functions
- Knowledge of machine learning techniques and how they can be used to improve business processes or create predictive models
- Experience with project management, agile methodologies, and collaborating with cross-functional teams
- Experience in Snowflake for cloud-based data analysis
- Knowledge of statistical methods and data modeling techniques
Responsibilities
- Collect, analyze, and interpret large data sets to uncover trends, patterns, and business opportunities
- Develop and maintain business-focused dashboards, reports, and visualizations to track key performance indicators (KPIs) and present insights to stakeholders
- Use statistical methods and data modeling techniques to identify trends, correlations, and potential areas for optimization
- Collaborate with business units to understand their data needs, define requirements, and ensure that data insights align with business goals
- Provide data-driven recommendations to improve business processes, drive growth, and increase operational efficiency
- Communicate complex data insights in a clear and concise manner to non-technical stakeholders, translating findings into actionable business strategies
- Analyze data trends and provide actionable insights that align with business objectives
Other
- Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, or a related field
- 4-6 years of experience in business data analysis or a related field, with a strong focus on delivering business insights and strategy
- Excellent problem-solving skills, strong communication skills, with the ability to present complex findings to non-technical stakeholders in a clear, concise, and actionable manner
- Ability to work from the office at least four days per week (Monday - Thursday), with Friday available for remote work
- Ability to work in a hybrid work model
