3 часа назад
Analyst, Data Analytics
77 000 - 131 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analyst, Data Analytics (SQL/Python): Building scalable analytical products, data models, automation, and measurement solutions for an individual-investor business with an accent on advanced statistics, forecasting, machine learning, and cloud data warehouses. Focus on productizing analyses, designing reliable analytics layers, optimizing repeatable workflows, and communicating technical findings to business stakeholders.
Location: Colorado Springs, Colorado, United States. Hybrid work is available, with up to one day per week from home.
Base salary for Colorado: $77,000–$131,000 per year, with potential discretionary bonus eligibility.
Company
Global asset management organization providing investment solutions across equity, fixed income, and multi-asset capabilities.
What you will do
- Design and develop scalable analytical products, reusable components, data models, metrics, and technical solutions for business needs.
- Apply statistical analysis, forecasting, experimental design, segmentation, machine learning, predictive analytics, optimization, and simulation.
- Build analytics-layer datasets, semantic structures, features, and data products for reliable downstream analysis.
- Use advanced SQL and Python to transform data, automate recurring processes, and improve solution reliability and performance.
- Partner with data management, analytics, and business teams on strategic initiatives, urgent analytical needs, and durable product development.
- Apply Git, testing, peer review, documentation, Agile delivery, change control, and AI/Copilot capabilities to produce maintainable solutions.
Requirements
- Bachelor's degree in data science, operations management, operations research, data analytics, statistics, computer science, information systems, or a related field.
- 3+ years of relevant work experience.
- Proficiency writing complex SQL queries and using Python with machine-learning packages.
- Experience with Tableau or Power BI for communicating business performance and status.
- Proficiency in applied statistics, data modeling, automation, Git/version control, Agile development, testing, quality assurance, performance optimization, and documentation.
- Strong data storytelling, executive communication, requirements-gathering, AI/Copilot utilization, and cross-functional collaboration skills.
Nice to have
- Master's degree in data science or computer science.
- Experience with Snowflake, JupyterHub, AnyLogic, or other simulation software.
- Experience with ARIMA, Prophet, time-series forecasting, linear programming, or mathematical optimization solvers.
Culture & Benefits
- Collaborative environment focused on innovation, technical rigor, documentation, experimentation, and measurable business impact.
- Hybrid work schedule.
- Annual bonus eligibility and retirement plan.
- Health and wellness benefits, including online therapy.
- Paid time off for vacation, illness, medical appointments, and volunteering.
- Family care resources, including fertility and adoption benefits.
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