Senior Business Intelligence Analyst

The Senior Business Intelligence Analyst will be a key player on the eMoney Data and Analytics team.

The Data and Analytics team is charged with providing critical data and analytical components to deliver insights to all functions of the business.

The candidate will work with the cross-functional data and analytics team, subject matter experts, and system vendors to implement the program and define and undertake analytics projects that provide data-supported answers to key business issues.

They will also bring presentation skills: creating stories about the data, documenting feedback, requirements and showcasing solutions, completing the full project lifecycle (design inception through delivery).

The Sr Business Intelligence Analyst will collaborate with stakeholders and business sponsors as well as the application development team to evangelize their work products and advocate as a driver of data-driven change throughout the organization.

• Communicate complex analytical solutions, data relationships and results and their business impacts to multiple business partners and stakeholders, through superior data visualization and storytelling skills
• Leverage, integrate, and normalize disparate data sources including enterprise systems, internal and third-party applications, and customer data
• Partner with cross-functional, operational teams to develop quantitative models and analyze business hypotheses, informing data driven decisions to optimize and increase productivity and revenue
• Ensure consistency and cleanliness of the data and analytics code base to maintain a highly-performant, stable environment for our customers
• Drive business decisions by providing data analysis and reporting of patterns, insights, and trends to decision-makers
• Use analytics and metrics to show key performance indicators, improve processes and provide data-driven forecasts
• Develop and maintain consultative relationships with key stakeholders to effectively drive aligned business results
• Foster strong cross-functional relationships in order to effectively synthesize organizational needs and translate into a cohesive data strategy
• Integrate cross-functional, cross-market and cross-category analytical insights into strategic thought leadership and actionable recommendations to influence business decisions; Ensure insights are co-owned and advanced within the organization