3 дня назад
Data Analyst, Investment Professional
119 000 - 199 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Investment Professional (SQL/Snowflake/Databricks): Building governed analytical data structures and reusable data products for investment dashboards, quantitative tools, reporting, and AI-enabled workflows with an accent on data modeling, semantic layers, and investment data. Focus on designing reliable data interfaces, improving data quality and lineage, and automating ingestion, reconciliation, anomaly detection, and documentation across a multi-billion-dollar portfolio environment.
Location: Columbus, Ohio — One Plaza; must reside within 35 miles. Hybrid schedule with 2 days in the office and 3 days remote.
Salary: $119,000–$199,000 annually.
Company
is a Fortune 100 financial services company with nearly $70 billion in annual sales.
What you will do
- Design curated analytical data structures, shared business logic, dimensions, and reusable data products for investment analytics.
- Provide governed data access through SQL, APIs, and related interfaces for quantitative analysts, portfolio managers, and reporting teams.
- Build and maintain semantic layers supporting front-office dashboards, quantitative tools, research workflows, and BI reporting.
- Monitor data quality, consistency, documentation, lineage, and reporting performance across enterprise data sources.
- Support governed AI and agentic workflows through structured inputs and outputs, data persistence, automation, and human review.
- Collaborate with Technology and platform teams on Snowflake, Databricks, Aladdin, version control, testing, and enterprise architecture.
Requirements
- Bachelor’s degree in computer science, information systems, data analytics, mathematics, engineering, or a related field preferred.
- Typically 8 or more years of experience building analytical data, business intelligence, or investment data environments.
- Advanced SQL and data-modeling skills, with hands-on experience using Snowflake and modern analytics environments such as Databricks.
- Practical Python skills for data engineering and analytics, including pandas, PySpark, or similar tools.
- Experience designing semantic layers and reusable datasets for BI or quantitative use cases, including Power BI or Tableau.
- Must reside within 35 miles of Columbus, Ohio; the role does not qualify for employer-sponsored work authorization and does not participate in the STEM OPT extension program.
Nice to have
- Experience in financial services, asset management, insurance, or capital markets.
- Advanced degree or relevant certifications.
- Experience with AI-enabled analytics, governed automation, investment data structures, and enterprise data governance.
Culture & Benefits
- Collaborative, mission-driven environment focused on experimentation, shared tooling, documentation, and continuous improvement.
- Medical, dental, and vision coverage, life insurance, and short- and long-term disability coverage.
- Paid time off, nine paid holidays, Lifetime paid time off, and Unity Day paid time off.
- 401(k) with company match and a company-paid pension plan.
- Business-casual workplace and an inclusive equal-opportunity culture.
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