Intern in Revenue Operations at CloudTalk analyzing sales and customer data for insights. Collaborating with teams for reporting and dashboard creation to support decision - making.
About the role
- Staff Analytics Engineer at Upside driving data product design and implementation. Leading cross-functional initiatives and shaping analytics engineering standards across the company.
Responsibilities
- Drive the design and implementation of foundational data products and analytics platform capabilities that power Upside’s most critical product and business use cases.
- Lead cross-functional workstreams, shape patterns and architecture across teams, and elevate the overall quality and impact of data work at Upside.
- Design and deliver highly complex, domain-critical data products used by analysts, data scientists, and product teams to unlock new product features, ML models, and strategic decisions.
- Architect scalable, extensible patterns for modeling, orchestration, and data transformation—balancing flexibility, reusability, and cost-efficiency.
- Own platform evolution projects such as migrating the data platform to Snowflake Semantic Views, extending Cortex, or improving orchestration tooling for analytics workflows.
- Lead technical planning and delivery across cross-functional teams, breaking down complex data initiatives into scoped, sequenced workstreams implemented by you and others.
- Drive platform adoption and best practices, mentoring other engineers, building internal documentation and tooling, and raising the overall bar for analytics engineering across the company.
- Influence upstream and downstream teams, partnering with engineering, product, data science, and business stakeholders to align on requirements and deliver end-to-end solutions.
- Represent Analytics Engineering in technical design forums and contribute to roadmap discussions that shape the future of data at Upside.
Requirements
- Have 6+ years of experience in data or analytics engineering, with a track record of owning complex, business-critical data systems end to end.
- Have deep expertise in SQL and Python, particularly for transforming, testing, and orchestrating very large datasets.
- Are fluent with platforms like AWS, Snowflake, dbt, and Dagster, and can design extensible patterns to be used across teams.
- Experience with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design).
- Can break down ambiguous, cross-functional data problems and lead the implementation from design to deployment, collaborating across technical and non-technical teams.
- Proactively identify opportunities to improve the analytics platform and are comfortable designing and implementing impactful, reusable solutions.
- Communicate clearly across audiences, from engineers and analysts to product managers and business leaders.
- Understand how to balance business value, maintainability, and platform standards in your design decisions.
- Are excited about the opportunity to mentor others, set standards, and leave systems better than you found them.
Benefits
- Medical, dental, and vision coverage starting on Day 1
- Equity (ISOs)
- 401(k) program
- Family planning programs + paid parental leave
- Physical fitness and wellness memberships
- Emotional and mental health support programs
- Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break
- Flexible work environment
- Lunch reimbursement for in-office employees
- Employee Resource Groups
- Learning and Development stipend
- Transparent culture
- Amazing mission!
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