Data Scientist at Valley Bank | Morristown, NJ, United States | Rezi

Data Scientist at Valley Bank

Data Scientist

Valley Bank · Morristown, NJ, United States

1 weeks ago

Data Scientist

Valley Bank · Morristown, NJ, United States

12 days ago
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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 and partner with the 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.

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.
  • 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.
  • Strong collaboration and communication skills to effectively partner with other data teams and business partners.
  • 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.
  • Experience working independently with business partners and diverse corporate functions.

Skills

  • Data modelling
  • Data engineering
  • Data analysis
  • BI tools
  • Power BI
  • SQL
  • Python (pandas, numpy)
  • Tableau
  • Communication
  • Organization
  • Interpersonal skills
  • Prioritization
  • Mapping techniques
  • Data visualization
  • Banking industry knowledge

Experience Level

  • Minimum of 3 years working in a data analytics role

Education Level

  • Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
  • Master's degree in a quantitative discipline.