3 часа назад
Data Analyst (AI)
77 000 - 131 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Rapid Insights (SQL/Python/AI): Building rapid analyses, KPI frameworks, dashboards, and data-driven recommendations for the Individual Investors business with an accent on ad hoc analysis, root-cause investigation, and stakeholder decision support. Focus on identifying trends and anomalies, prototyping lightweight solutions, and transitioning recurring analytical needs into durable Analytics Engineering solutions.
Location: Colorado Springs, Colorado, United States; hybrid work with up to one day per week from home.
Base salary: $77,000–$131,000 annually for Colorado.
Company
Global asset management organization providing equity, fixed income, and multi-asset investment solutions to individuals, advisors, institutions, and retirement plan sponsors.
What you will do
- Intake, clarify, triage, and prioritize business questions based on urgency, value, stakeholder impact, and capacity.
- Use SQL, Excel, Python, statistical methods, and analytical tools for descriptive and diagnostic analysis, data pulls, and root-cause investigations.
- Analyze client, digital, marketing, sales, operational, workforce, and business performance questions.
- Develop KPIs, dashboards, and visualizations in Power BI, Tableau, or similar tools.
- Translate findings into concise implications, recommendations, and next steps for stakeholders and senior audiences.
- Prototype lightweight solutions, document analytical logic, and partner with Analytics Engineering on scalable or automation-heavy needs.
Requirements
- Bachelor’s degree in data analytics, operations management, operations research, statistics, computer science, information systems, or a related field.
- 3+ years of relevant work experience.
- Proficiency in SQL, Python, machine-learning packages, applied statistics, data storytelling, and executive communication.
- Experience with Tableau, Power BI, or similar visualization software.
- Strong analytical thinking, problem solving, stakeholder management, requirements gathering, collaboration, adaptability, and documentation skills.
- FINRA licenses are not required and will not be supported.
Nice to have
- Master’s degree in Data Science or Computer Science.
- Experience with Snowflake, JupyterHub, AnyLogic, simulation software, linear programming, or mathematical optimization solvers.
- Knowledge of Python/R, data modeling, automation, Git, Agile delivery, testing, and performance optimization.
Culture & Benefits
- Hybrid work schedule with one regular work-from-home day per week.
- Competitive compensation and annual bonus eligibility.
- Retirement plan and 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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