About The Position

This role is responsible for providing analytical and data support for the Analytics and Model Development team within Consumer Banking Client Services. Key areas of focus for this role include data delivery, reporting, automation, insights, and forecasting optimization with AI. These areas of focus can also include performance trend analysis, the assessment and development of tools to automate and streamline processes, uncover actionable business insights to drive process change, project planning, data analysis, data science, and cross team collaboration with other Resource Planning & Optimization teams. The Analytics and Model Development team relies on a variety of systems / platforms including, but not limited to, Excel, SQL, Python, Tableau, Alteryx, and SAS. The candidate will work across both Data Analytics and Data Science spectrums to source resource planning and performance data / metrics and compile into Executive level dashboards on a project or ad hoc basis. The candidate will leverage ETL tools to automate existing processes and drive operational excellence initiatives. The candidate will connect to existing SQL Server, Oracle, Teradata, and Hadoop databases to query data for reporting, perform trend analysis to understand areas of improvement, and present to key business stakeholders.

Requirements

  • 1+ years of SQL Coding experience
  • 1+ years of Tableau experience
  • Experience with Python and statistical methods in understanding relationships in data
  • Advanced Excel proficiency
  • Strong written and oral communication skills with broad business acumen
  • Ability to manage multiple projects in a complex and rapidly-changing environment
  • Excellent time management skills
  • Ability to work independently as well as part of a team
  • Strong analytical and problem-solving skills to effectively communicate with technical and non-technical audiences and quickly elevate any risks or challenges.
  • Positive Attitude and willingness to learn

Nice To Haves

  • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
  • Experience with SSMS, Oracle, Hadoop, Teradata
  • Familiar with SDLC and Project management concepts and tools, such as Agile and Jira
  • 2+ years of SAS EG / SAS Studio, or R experience
  • Bachelor’s degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance, or operations research

Responsibilities

  • Use Data Science and Analysis to spot trends, gain insights, and identify operational improvements
  • Attend weekly Agile standup meetings and provide status updates as needed
  • Participate in collaborative reporting and design sessions with organizational stakeholders and business owners to design, build, and deliver reports and dashboards to meet business goals
  • Collaborate with other developers to create / maintain scalable processes and best practices
  • Manage multiple projects, shifting priorities as needed to produce accurate work while meeting established deadlines
  • Validate the integrity and quality of data required for performing analysis
  • Partner with Performance Optimization, Scheduling, and Strategic teams to deliver data insights and analysis that inform critical decisions and help achieve goals.
  • Other duties as assigned

Benefits

  • Access to paid time off
  • Resources and support to our employees
  • Discretionary incentive eligible
  • Annual discretionary award based on individual performance, line of business performance, and overall company success.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service