12 часов назад
Senior Business Data Analyst (AI)
130 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Business Data Analyst (AI): Leading client engagements that translate ambiguous business questions into data models, dashboards, KPI frameworks, and decision-support tools with an accent on SQL, data modeling, and stakeholder alignment. Focus on building production-quality analytics in modern cloud warehouses, proactively surfacing business insights, and applying AI tooling responsibly to accelerate delivery.
Location: Remote (United States)
Salary: $130,000–$160,000 yearly, plus performance bonuses.
Company
is a data engineering and AI consultancy that builds production-grade data platforms, machine learning systems, and analytics solutions for Fortune 500 enterprises and high-growth companies.
What you will do
- Lead client-facing discovery sessions with operators, analysts, and executives to define and prioritize business requirements.
- Translate ambiguous business problems into data models, dashboards, KPI frameworks, and decision-support tools.
- Write production-quality SQL and build trusted models using Snowflake, Databricks, BigQuery, Redshift, dbt, or equivalent tools.
- Build and maintain reporting in Looker, Tableau, Power BI, Sigma, Mode, or the client’s preferred BI platform.
- Surface trends, anomalies, and opportunities proactively, and lead status updates, demos, working sessions, and stakeholder reviews.
- Apply LLM-based analysis, natural-language-to-SQL, agentic data exploration, and AI-assisted documentation; mentor junior analysts and improve internal analytics playbooks.
Requirements
- 5+ years of experience as a business analyst, data analyst, BI analyst, or analytics consultant, including at least 2 years in a client-facing or embedded role.
- Expert SQL skills, including window functions, CTEs, performance tuning, and data validation.
- Strong data modeling fundamentals, including dimensional modeling, star and snowflake schemas, and dbt or equivalent transformation tooling.
- Hands-on experience with at least one cloud data warehouse and one modern BI tool.
- Ability to lead requirements workshops, manage stakeholder alignment, challenge unclear requirements, and communicate effectively with different audiences.
- Working fluency with AI tools for analytical work and sound judgment about their benefits and risks.
Nice to have
- Experience in commercial real estate, financial services, healthcare technology, or insurance.
- Python for analytical workflows, including pandas, notebooks, or API scripting.
- Experience scoping and pricing analytics work or contributing to statements of work.
- Familiarity with data quality, observability, governance, or AI-native analytics tools.
- Prior consulting or agency experience with utilization, billing, and multi-client work.
Culture & Benefits
- Full-time employment with comprehensive health, dental, and vision benefits.
- 401(k) with company match.
- Flexible remote work environment with a collaborative, high-talent team.
- Performance bonuses, professional development budget, and certification support.
- Work on diverse, high-impact client engagements with modern Snowflake, Databricks, AWS, GCP, and Azure stacks.
- Builder culture focused on leading engagements and shipping useful work rather than slide decks.
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