Financial Data Analyst

Job Duties:

Qualifications

• 1+ year of experience in complex business analysis, digital analysis, or marketing analysis role
• Bachelor’s Degree in Math, Finance, Economics, Computer Science or other relevant degrees
• Proficiency in visualization tools such as Looker, Tableau, or Power BI
• Experience in building SQL queries across complex relational database experience
• Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership
• Strong interpersonal and communication skills, with a track record of working well with business stakeholders
• Familiarity with marketing, web, and advertising technologies like Google Analytics, Optimizely, Iterable, Google Ad Manager, Salesforce, etc

Responsibilities

• The Data Analyst at Red Ventures is not only an expert at querying, transforming and reporting data—they also tackle problems with autonomy
• Data Analysts proactively identify opportunities for applying business insights, advanced analytics, and data science techniques by becoming intimately familiar with both data and business goals
• As a Data Analyst, you will communicate, support, and strategize with business, tech, and data teams stakeholders
• You will act as a data savvy consultant, creating insights, understanding processes, solving problems, and making business and marketing recommendations
• Provide strategic insights derived from digital marketing, web event and conversion data that drive marketing investment and customer experience decisions
• Build compelling visualizations and interactive dashboards that enable us to democratize analytics
• Utilize statistics to identify the significance, noise and correlation in data
• Conduct hands-on advanced analytics using multiple data sources originating from different applications and systems
• Build relationships with business teams and data science teams to identify opportunities for deep analytics on customer behavior and site performance
• Become very familiar with our unique AdTech and MarTech stacks and the role of data with each of them
• Work with data science, data engineers, architects, and business teams to ensure analysis and visualizations scale efficiently