What You Will Do
- Create compelling visualizations using Power BI to drive business decision-making and align with business goals
- Analyze and interpret complex datasets to derive actionable insights that support business objectives
- Effectively communicate insights and results from analysis to stakeholders
- Develop and maintain robust data models and dashboards that facilitate efficient reporting and analysis.
- Respond to on-demand analytics and data extraction requests, in a fast-paced environment
- Promote and exemplify development best practices, coding standards, and design principles
- Explore improvement opportunities and emerging technologies, tools, and trends that can drive innovation and improve the efficiency and effectiveness of our data analytics processes
- Partner with cross-functional teams, including Enterprise Data, to deliver the optimal data-based solution to our organization
- Bring your own knowledge and perspective to the analysis, enhancing our ability to understand key opportunities and business drivers
- Ensure data accuracy and integrity across all platforms, particularly within Snowflake.
What You Will Bring
- 5+ years’ experience in data analysis and interpretation
- 5+ years’ experience with visualization tools, with proficiency in Power BI
- 3-5 years’ hands-on experience in designing and implementing data models, understanding database structures and ensuring data integrity
- 3-5 years’ experience with SQL and Snowflake for data extraction and manipulation
- Strong understanding of Sales, Sales Funnel, Pipeline and related performance indicators (KPIs), preferably in a subscription and/or channel-driven environment
- Demonstrated ability to connect data insights to business strategy and objectives
- Exceptional communication abilities, able to interpret and articulate requirements and findings with ease
- Familiarity with advanced analytics techniques, such as predictive analytics or machine learning is beneficial
- Excellent project management and collaboration skills, with the ability to lead data projects and work with multiple teams
- A blend of technical skills and business insight is critical to the success of this role
- Bachelor’s degree in Data Science, Statistics, Business, or a related field; advanced degree preferred.
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