4 дня назад
Business Analytics Analyst (AI)
76 000 - 96 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Analytics Analyst (AI) (SQL/data analytics): Analyzing business performance across disparate data sources and building metrics, reports, and dashboards with an accent on hypothesis-driven analysis, causal relationships, and decision support. Focus on identifying risks and opportunities, modernizing data structures, and translating complex findings into guidance for senior stakeholders.
Location: Flexible hybrid model; in-person interviews may be required for positions based in Boston or Dublin.
Salary: $76,000–$96,000 USD annual base salary / On-Target Earnings.
Company
operates a large automotive marketplace that helps consumers and dealerships manage the online car-shopping journey, including vehicle sales, financing, purchasing, and delivery.
What you will do
- Conduct exploratory data analysis across disparate data sources with assistance from AI tools.
- Partner with decision-makers to frame analytical work and communicate findings clearly.
- Identify, validate, and investigate causal relationships in important business mechanisms.
- Implement metrics for business performance and experiments.
- Build reports and dashboards to monitor performance and support data-driven decisions.
- Advocate for stronger use of data in business decision-making.
Requirements
- Bachelor’s degree in computer science, mathematics, statistics, analytics, economics, or a related field, or equivalent analytical experience; a relevant master’s degree is also suitable.
- 2+ years of professional experience in analysis and reporting, including data visualization, to influence understanding and decisions.
- Strong analytical, problem-solving, hypothesis-driven reasoning, communication, and project-management skills.
- Fluent SQL and proficiency with an analytical tool.
- Experience or understanding of data modeling and ETL concepts.
- Ability to work with ambiguous data, understand business systems and goals, and derive meaningful insights.
Nice to have
- Experience with Git, Python, and large language models.
Culture & Benefits
- People-first culture focused on kindness, collaboration, innovation, and inclusion.
- Flexible hybrid work model and robust time-off policies.
- Equity for all employees, comprehensive benefits, and potential discretionary bonuses or RSUs.
- Career development programs, employee resource groups, and corporate giving opportunities.
- Daily free lunch, new-car discount, meditation and fitness apps, and commuting-cost coverage.
Hiring process
- In-person interviews may be required, particularly for positions based in Boston and Dublin.
- Travel expenses for in-person interviews are the candidate’s responsibility.
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