Software Engineer - Analytics
About The Position
The Software Engineer - Analytics will support the Analytics and Operations teams in solving business needs, integrating data systems, developing Application Programming Interfaces (APIs), full-stack software, and communicate insights and/or solution recommendations. The role is expected to participate in the planning, design, and implementation of software/automation projects. The position will develop optimal system-to-system communications ranging from SQL/NoSQL databases, streaming systems, and distributed in-memory calculation engines (Spark/Dask). The Analytics Software Engineer will design elegant, interactive web applications that are intuitive and user-friendly across internal and external audiences.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field. Master’s preferred, or equivalent practical experience and demonstrated passion.
- 1–3 years of full-stack software engineering experience, preferably in an analytics-focused environment.
- Proficient in at least two of the following languages: Python, JavaScript, Go, C++, or Rust.
- Strong foundation in clean, maintainable coding practices.
- Solid understanding of both SQL and NoSQL databases, as well as distributed systems.
- Experience in designing and managing APIs, including version control and change management.
- Ability to shift between high-level system design and hands-on implementation.
- Excellent analytical and problem-solving skills.
- Proven ability to work independently and collaboratively with cross-functional teams.
- Experience with cloud services (AWS preferred).
- Familiarity with Linux, Docker, and build/deployment automation.
- Strong user-experience orientation and customer-first mindset.
Nice To Haves
- Detail-oriented with a strong sense of UI/UX design; experience with modern front-end frameworks (e.g., React, Vue) is a plus.
Responsibilities
- Partners with distribution, transportation, and material handling teams to identify opportunities for improvement through software and automation.
- Leads end-to-end software projects, evaluates trade-offs, makes informed technical decisions, and iterates with business stakeholders.
- Identify, extract, assess, manipulate, and analyze internal and external data from multiple sources including transactional and reference data.
- Designs high-performance, high-volume and high-velocity data pipelines with a strong focus on user experience.
- Supports large-scale analytics initiatives, from exploratory data analysis to deployment of distributed solutions.
- Apply business knowledge to identify bad data and develop processes to increase data quality/integrity.
- Develops scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions.
- Provides root cause analysis of system and software faults to foster a cycle of continuous improvement.
Benefits
- Medical insurance including HSA, HRA and FSA accounts
- Supplemental insurance including critical illness, hospital indemnity, accidental injury
- Dental Insurance
- Vision Insurance
- Basic Life and Supplemental Life
- Short Term and Long Term Disability
- Paid Parental Leave
- 401(k)
- Paid Time Off approximately 2 weeks (accrual begins on Day 1 of employment)
- Employer Paid Holidays- 10 days
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
