4 дня назад
Senior Data Analyst (Snowflake/dbt)
105 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Snowflake/dbt): Building scalable analytics solutions, self-service BI products, and curated Snowflake data products with an accent on requirements gathering, data modeling, migration, and data quality. Focus on designing canonical models and gold-layer datasets, migrating legacy analytical assets, applying responsible AI-assisted workflows, and mentoring analytics teams.
Location: Hybrid schedule near the Charlotte, NC office; candidates must be legally authorized to work in the US.
Base salary: $105,000–$135,000 per year, plus variable incentive compensation and benefits.
Company
is a wealth management platform providing investment offerings, technology, services, and expertise to independent financial advisors.
What you will do
- Gather business requirements and translate them into technical specifications for analytics solutions and data products.
- Design complex dashboards, semantic models, and scalable self-service analytics using Power BI or comparable platforms.
- Partner with Analytics Engineering to develop canonical models and gold-layer curated datasets in Snowflake using SQL and dbt.
- Lead migration of dashboards, semantic models, and analytical assets from legacy data sources to curated Snowflake views.
- Implement approved AI-assisted tools and automation for development, documentation, testing, migration, data quality, and user support with human review and governance.
- Coordinate delivery, measure adoption and data quality, mentor analysts, and establish reusable standards and development patterns.
Requirements
- Advanced proficiency in SQL, Snowflake, and dbt, with knowledge of ELT, dimensional modeling, testing, lineage, and data quality.
- Experience designing, launching, and maintaining advanced analytical solutions and self-service BI products.
- Experience migrating analytical workloads to curated cloud data models using source-to-target mapping, reconciliation, Git-based version control, and code reviews.
- Experience applying AI-assisted analytics or development tools with appropriate validation, privacy, security, and responsible-use practices.
- 5+ years of experience in analytics, BI, analytics engineering, or related data roles, plus a degree in Analytics, Statistics, Computer Science, Business, or a related field.
- Must be legally authorized to work in the US; visa sponsorship is not available.
Culture & Benefits
- Hybrid work schedule with a focus on collaboration and professional development.
- Paid time off, sick time off, and volunteer time off.
- 401(k) with a 6% employer match.
- Medical, dental, and vision coverage with HDHP or PPO options, plus HSA contributions for HDHP participants.
- Career development, recognition programs, and fitness reimbursement.
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