Data Analytics Engineer

In this role as Data Analytics Engineer, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You’ll develop KPI reports, partner with engineers on data architecture, investigate metric changes, and explore trends for opportunities. Additionally, you’ll collaborate with stakeholders, foster data‑driven decision‑making, and promote scalable, self‑service data solutions.

• Develop and maintain data pipelines, tooling, and visualizations that make insights widely available across the organization.
• Identify, compute, and validate the appropriate data sources and metrics to create KPI reports.
• Partner with data engineers to design and implement a data architecture that bridges across data sources, analytics, and operational reporting.
• Conduct investigations into changes in business metrics in collaboration with stakeholders and engineering.
• Proactively explore trends in business KPIs to surface future opportunities for enhancement.
• Cultivate strong partnerships with cross‑functional stakeholders.
• Coach partners to self‑serve with existing tools and evangelize scaled approaches to expand data access and insights.

• Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analytics, business intelligence, data science, or related fields.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning concepts and libraries/frameworks (e.g., scikit‑learn, Tensor Flow).
• Experience creating interactive dashboards with Tableau, Power BI, and other tools.
• Proven communication and presentation skills to deliver actionable insights.
• Ability to manage time‑sensitive projects through completion while balancing evolving priorities and diverse stakeholders.
• Experience working with operations functions.

• Flexibility with work schedule and telecommuting.
• Vacation and paid time off.
• Employee discounts and rewards.
• Health insurance and wellness program.
• Continuous learning programs and mentorship opportunities.
• Flat and agile structure that values employee voice and ideas.
• Community support and celebration of achievements.
• Unique perks such as vacation reimbursement, tuition reimbursement, and full cost for IT certifications.