Business Intelligence Associate Developer

BI Developer - Associate

Are you ready to take the next step in your workforce analytics career? Join our team as a Business Intelligence Associate and play a key role in delivering impactful, data-driven insights for a global organization. You’ll contribute to the build out of self-service analytics solutions, and work with the latest cloud technologies. If you’re passionate about solving business challenges, driving continuous improvement, and making a real impact through data, this is the perfect opportunity to broaden your expertise and contribute to meaningful projects. 

 

As an Associate - Business Intelligence within the Employee Experience organization, you will contribute to the development and delivery of analytics solutions that empower HR and business teams to make informed decisions. You will play an active role in building dashboards and reports, ensuring data quality and governance, and supporting the adoption of cloud-based BI platforms. This position is ideal for someone with strong analytical skills, hands-on experience in business intelligence, and a passion for workforce analytics.

 

Job responsibilities:

• Support Self-Service Analytics: Assist in building and enhancing self-service analytics tools, empowering users to independently explore data and generate meaningful reports.
• Ensure Data Quality and Compliance: Help maintain the integrity, security, and compliance of BI solutions by supporting data governance processes and best practices.
• Enable Cloud Analytics Integration: Support the integration of BI tools with cloud data platforms—such as Databricks—to optimize analytics delivery and scalability. 
• Be familiar with managing roadmaps, timelines, and agile practices. 

Required qualifications, capabilities and skills:

• Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.
• 2 years of experience in Business Intelligence, data analysis, or a related role. 
• Familiarity with cloud-based BI tools and platforms. 
• Foundational understanding of data visualization, dashboard design, and self-service analytics concepts ideally with Tableau, Snow, or Sigma. 
• Strong analytical, problem-solving, and communication skills. 
• Proven ability to collaborate effectively with stakeholders and team members. 
• Demonstrated willingness to learn and adapt to new technologies and evolving business requirements. 

Preferred qualifications, capabilities and skills:

• Bachelor’s degree in a relevant field or a strong academic background in analytics, data science, or business. 
• Exposure to HR data and analytics. 
• Experience collaborating with HR or business teams to deliver workforce insights. 
• Familiarity with integrating BI tools with cloud data platforms, especially Databricks and SNow 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Mid Level