Vacancy expired!
- Lead analytics initiatives, supporting multiple Service Product stakeholders hungry for analytics and insights
- Measure OKRs, monitor performance of features and capabilities, build hypotheses, conduct A/B testing, and identify opportunities for new features
- Get involved and deliver projects ranging from simple trend analysis to cross-channel journey analysis to prescriptive analytics, which includes data mining, business judgment, and collaboration to improve the customer experience
- Manage and work on all phases of the analytics lifecycle, including documenting data lineage, scoping, data development, hypothesis development, data analysis, generating insights, developing, and delivering presentations of findings.
- Look at customer interactions and events across various channels to better understand customer journeys and friction points.
- Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional units.
- Translate data into meaningful insights and present a compelling story to stakeholders for decision making
- 3+ years of industry experience in a data product/analytics field in a large-scale data environment or equivalent experience
- Previous experience in the financial services industry preferred
- Experience working with stakeholders and driving data-driven decision making
- Bachelor's degree is required, and a master's degree is preferred.
- Intellectually curious and eager to learn new things with an eye for innovation
- Excellent at completing projects and tasks independently
- Highly organized and able to prioritize multiple tasks
- Excellent written and oral communication skills
- Operational business knowledge of processes, data, controls, and technology platforms
- Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment and Hadoop environment
- Foundational to advanced skills in tools such as Adobe Analytics, Tableau, SQL workbench
- Experience with business intelligence and data wrangling tools such as Alteryx, SAS, or Python
- Experience with visualization techniques for data analysis and presentation (Tableau preferred)
- Basic skills with JIRA, Confluence
- Familiarity with Cloud (AWS) based data solutions and tools
- Proficiency in Microsoft Word, Excel, PowerPoint
Vacancy expired!