Data Visualization Associate

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Corporate Sector

This role focuses on designing, enhancing, and maintaining analytics and automation solutions, supporting cloud migration, and creating executive-level presentations and dashboards. It involves collaborating with stakeholders to deliver actionable insights and identifying opportunities to streamline processes using AI and advanced analytics. The role also includes project management activities and continuous professional development.

What you'd actually do

  1. Design, enhance, and maintain analytics and automation solutions using both established and emerging technologies.
  2. Support the migration of reporting and analytics on-premises to cloud-based platforms, ensuring solutions are robust, scalable, and aligned with business needs.
  3. Collaborate with stakeholders across multiple Lines of Business to gather requirements, translate objectives into technical solutions, and deliver actionable insights.
  4. Create executive-level presentations and dashboards that inform strategic decision-making.
  5. Identify and implement opportunities to streamline processes and introduce automation, leveraging AI and advanced analytics.

Skills

Required

  • Bachelor’s degree in Business Information Systems, Management Information Systems, Computer Science, or a related quantitative field.
  • Minimum one year of relevant experience in analytics, reporting, or data management (internships and academic projects considered).
  • Experience with data visualization tools.
  • Exposure to SQL.
  • Strong communication, collaboration, and problem-solving skills.
  • Willingness to learn new technologies and methodologies.
  • Ability to manage multiple priorities in a fast-paced environment.

Nice to have

  • Experience with data wrangling tools and relational databases.
  • Familiarity with cloud data warehousing and processing platforms (e.g., Snowflake, Databricks, Google BigQuery, AWS Redshift, Azure Synapse Analytics, Apache Spark).
  • Exposure to data integration and transformation tools (e.g., dbt, Fivetran, Airflow, Census, Hightouch).
  • Experience with business intelligence and visualization tools (e.g., Sigma, Genie, Prophecy, LLM Suite, Power BI, Qlik Sense, Looker, Streamlit, Plotly, D3.js).
  • Programming skills in Python or R.
  • Interest or experience in AI, machine learning, and automation (e.g., DataRobot, H2O.ai, Generative AI tools).
  • Familiarity with data governance and observability tools (e.g., Collibra, Alation, Monte Carlo, Bigeye).

What the JD emphasized

  • AI and advanced analytics
  • AI
  • advanced analytics
  • leveraging AI to automate tasks and generate insights