Valley Bank seeks to drive its data roadmap and enable strategic objectives through data and deep insights, focusing on building a data-driven culture and leveraging data to identify growth opportunities.
Requirements
- Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
- Working knowledge in developing reports and dashboards in Power BI or Tableau.
- Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
- Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.
- Awareness of latest trends in data analytics.
- Knowledge and experience in the banking industry and banking systems.
Responsibilities
- Interpret business needs and requirements and independently perform analysis and/or build reports and dashboards to meet requirements.
- Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
- Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
- Interact independently with business partners on data needs and respond to data requests.
- Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
- Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.
Other
- Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
- Minimum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
- Master's degree in a quantitative discipline.
- Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.
- Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
