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Data Analyst Intern
Ericsson Inc
·
Bellevue, WA
Intern
Master's
2026-05-28
WA
2026-05-28
Grow with us Data Analyst Intern Location: Bellevue, WA Duration: 12 weeks Start Date: May 26, 2026 Upload an unofficial copy of your transcript Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's
View full posting on CareerOneStop →
ID: e89777bbc9b7
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Responsibilities
- Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign's products.
- This role is not eligible for OPT or sponsorship now or in the future.
- This position is an individual contributor role reporting to the Director, Product Data Science.
- *Responsibility
- Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention
- Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact
- Leverage data to develop actionable analytical insights and present findings to senior management
- Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models
- Design and build dashboards to provide actionable insights and key business metrics
- Design, build and test reliable data pipelines to extract and transform data
- Identify, design, and implement process improvements by automating manual processes for greater efficiency
- Collaborate with stakeholders across organizations to support their data needs
- Implement data quality checks to maintain the high quality of data
- Optimize and maintain the existing pipelines
- Document the work in confluence and Alation
- Job Designation
- *Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Source: CareerOneStop (U.S. DOL)
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