Financial Services Analyst
3 weeks ago
About the Role
We're seeking a Senior Data Scientist to join our Financial Services team in Charlotte, NC. As a Senior Data Scientist, you'll be responsible for driving meaningful change across our business by leveraging your expertise in ideating how trends in our data can inform business strategy.
Key Responsibilities
- 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 tell a story with data.
- Utilize statistics to inform testing strategies and probabilities to make informed business decisions.
- 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.
- Mentor more junior data analyst teammates.
- Find new opportunities and usages of data within our product ecosystem.
Requirements
- 4+ years of experience in complex business analysis, digital analysis, or marketing analysis role.
- Bachelor's Degree or even better, Master'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.
- 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.
- Experience with A/B testing frameworks, sampling methods and statistical analysis is a plus.
- Knowledge of digital attribution and digital analytics is preferred.
- Statistical programming knowledge (e.g., R or Python) is preferred.
- Strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders.
- Results-oriented. You can guide a team to focus on the activities that will drive the largest lift to targeted metrics.
- An entrepreneurial mindset with strong business acumen and capable of coming up with data-driven ideas to create value for consumers and business partners.
What We Offer
We offer a competitive salary range of $155,000 - $203,000 per year, based on qualifications and experience. Additionally, we provide a comprehensive benefits package, including medical, dental, and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan, and a paid parental leave program.
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