About The Position

This opportunity is ideal for individuals interested in contributing to our team as a senior associate in Data Analytics, Databricks & Cloud within State Street’s Global Technology Services organization. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies. The ideal candidate leads with integrity, embraces creativity, and invests in personal growth. This role requires a collaborative mindset, a passion for innovation, and the ability to inspire others.

Requirements

  • Candidates should be /have : Enthusiastic about building a long-term career in a dynamic, technology-driven organization
  • Effective communicators with the ability to collaborate in a team-oriented environment
  • Open to feedback and committed to continuous learning and improvement
  • Motivated by real-world problem solving and eager to contribute innovative ideas
  • Degree in Computer Science, Data Science, Engineering, or related technical disciplines with a s trong interest in data analytics, cloud computing, and modern data platforms.
  • Data Analytics
  • Apache Spark
  • Cloud Computing (AWS, Azure, GCP)
  • Python or Structured Query Language ( SQL )
  • Data Visualization
  • Data Engineering
  • Communication
  • Group Collaboration

Nice To Haves

  • State Street internship experience strongly preferred
  • AWS Certified Cloud Practitioner
  • AWS Certified Data Analytics
  • Databricks Certified Data Engineer Associate
  • Microsoft Power BI or Tableau
  • Cloud Architecture s
  • Agile Methodology

Responsibilities

  • Assist in building and optimizing data pipelines using Databricks and Apache Spark.
  • Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights.
  • Support the deployment of analytics solutions on cloud platforms such as AWS, Azure, or Google Cloud.
  • Create dashboards and visualizations using tools like Power BI, Tableau, or Databricks SQL.
  • Collaborate with data engineers and analysts to ensure data quality, governance, and compliance.
  • Participate in data modeling and transformation tasks to support business intelligence initiatives.
  • Document data workflows, metrics definitions, and cloud architecture components.
  • Contribute to automation and optimization of data operations in cloud environments.

Benefits

  • our retirement savings plan (401K) with company match
  • insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
  • paid-time off including vacation, sick leave, short term disability, and family care responsibilities
  • access to our Employee Assistance Program
  • incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
  • eligibility for certain tax advantaged savings plans
  • paid volunteer days
  • access to employee networks
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