Senior Data Analyst

• 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.