4 дня назад
Senior Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (SQL/Power BI/Python): Building and delivering scalable reporting, semantic models, dashboards, and automated analytics pipelines for Capital Markets with an accent on executive-ready insights, data quality, and stakeholder collaboration. Focus on designing Power BI solutions with SQL, Python, and Snowflake, resolving multi-source data gaps, mentoring analysts, and applying AI tools with independent validation.
Location: Atlanta, Georgia, United States. Hybrid workplace model with at least four full days each week working in an office.
Company
is a global investment management firm providing investment strategies and vehicles to clients worldwide.
What you will do
- Lead end-to-end analytics projects, from requirements gathering and data sourcing through modeling, visualization, and stakeholder presentation.
- Design, build, and maintain Power BI semantic models, dashboards, and automated reporting pipelines using SQL, Python, and Snowflake.
- Translate complex Capital Markets data into actionable insights for senior leadership and cross-functional stakeholders.
- Identify source-data gaps and develop scalable, automated solutions that improve data architecture and reporting quality.
- Coordinate workstreams, maintain production reporting timelines, and ensure quality standards.
- Mentor junior analysts through technical guidance, code reviews, and structured feedback.
Requirements
- At least 5 years of experience in data analytics, business intelligence, or a related function; exceptional candidates with 3+ years may be considered.
- Bachelor’s degree in Data Analytics, Computer Science, Finance, Economics, or a related quantitative field.
- Advanced SQL skills, including stored procedures, CTEs, temporary tables, and query optimization across SQL Server and Snowflake.
- Advanced Power BI expertise covering semantic modeling, DAX, Power Query, data pipeline design, and performance tuning.
- Proficiency in Python or R, strong stakeholder communication, and experience working with large, multi-source datasets.
- Experience with AI tools and agents, with the ability to validate, refine, and contextualize generated outputs.
Nice to have
- Experience in financial services, investment management, or capital markets.
- Advanced degree or certifications such as CFA or PMP.
- Experience integrating enterprise data sources such as Bloomberg or Aladdin extracts.
Culture & Benefits
- Hybrid workplace model with regular office collaboration.
- Flexible paid time off and parental leave benefits.
- Health and wellbeing benefits.
- 401(k) matching of 100% on the first 6% with a discretionary supplemental contribution.
- Employee stock purchase plan.
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