Data Scientist

Posted Yesterday
Morristown, NJ, USA
In-Office
Mid level
Fintech • Software • Financial Services
The Role
Translate business needs into analyses, reports, and dashboards; perform complex queries and data reconciliation; visualize and present insights to non-technical stakeholders; mentor analysts; identify and enable new data capabilities; collaborate with data teams and business partners using Power BI, SQL, and Python.
Summary Generated by Built In
Job Summary & Responsibilities
Responsibilities include, but are not limited to:
  • 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.
Preferred Qualifications
Required Skills:
  • 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.
  • Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
  • Ability to identify key insights and present results 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.
  • Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
  • The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.
Required Experience:
  • Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
  • Miniumum 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.
  • Experience working independently with business partners and diverse corporate functions.
Preferred Experience:
  • Master's degree in a quantitative discipline.
  • Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.
     

Skills Required

  • Experience with BI tools, Power BI, SQL, Python (pandas, numpy), data modeling, and data engineering
  • Develop reports and dashboards in Power BI or Tableau
  • Bachelor's degree in a quantitative discipline (Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences)
  • Minimum of 3 years in a data analytics role with hands-on experience wrangling large datasets and deriving insights
  • Experience working independently with business partners and diverse corporate functions
  • Ability to interpret business needs and build reports/dashboards to meet requirements
  • Strong communication, organizational, and interpersonal skills
  • Advanced knowledge of data structures and ability to visualize data effectively for business audiences
  • Knowledge and experience in the banking industry and banking systems
  • Familiarity with mapping techniques (calculating distances and routes) and building custom market/demographic maps
  • Master's degree in a quantitative discipline
  • Financial services experience and knowledge of retail/commercial banking products and data

Valley Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Valley Bank and has not been reviewed or approved by Valley Bank.

  • Healthcare Strength Health coverage spans medical, dental, and vision with HSA/FSA options alongside life, AD&D, disability, and EAP support. The breadth presents as a comprehensive, modern package for a regional bank.
  • Leave & Time Off Breadth Time off offerings include vacation/PTO, sick leave, and volunteer PTO. Feedback suggests these elements contribute positively to work–life balance even when base pay feels light.
  • Retirement Support Retirement programs include a 401(k) with company match and, for eligible employees, a deferred compensation plan. The presence of these programs strengthens total compensation.

Valley Bank Insights

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The Company
HQ: Morristown, New Jersey
3,595 Employees
Year Founded: 1927

What We Do

At Valley, we aren’t just your average financial institution; we're your trusted partner in building a brighter future. With a widespread presence across the U.S., we've been serving communities since 1927. For over 95 years, our team of dedicated professionals has been committed to creating better banking opportunities for our customers and fostering growth and prosperity in the communities we serve. From personalized financial solutions to comprehensive banking services, home mortgages, commercial lending, and wealth management, we're here to help you achieve your financial goals, no matter how big or small. We understand that each individual and business has unique challenges and opportunities, and we're here to listen, understand, and provide tailored solutions to help you succeed. ©2025 Valley National Bank. Member FDIC. Equal Opportunity Employer. Equal Housing Lender. All Rights Reserved.

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