2 дня назад
Business Operations Analyst (Data/AI)
75 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Operations Analyst (Data/AI): Building and maintaining data pipelines, dbt models, dashboards, analyses, and data products for a podcast technology business with an accent on data quality, business intelligence, and cross-functional analytics. Focus on improving ETL and data modeling, evaluating funnels, forecasting sales, reporting revenue, and delivering product and marketplace insights with AI-assisted workflows.
Location: Hybrid in Los Angeles or Boston, United States, with in-person work at the office 3–4 days per week
Salary: $75,000–$130,000 base salary per year, plus equity and benefits
Company
provides podcast analytics, growth, payments, advertising revenue, and advertising platform tools that help creators, brands, and consumers transact in the podcasting market.
What you will do
- Work across the full data lifecycle, including analysis, visualization, dbt data modeling, and ETL pipelines.
- Update data pipelines and models to provide complete, accurate information to teammates and connected tools.
- Build and maintain dashboards, analyses, and other data products for ongoing and ad hoc business needs.
- Partner with finance, product, growth, sales, and leadership teams on business and product decision-making.
- Conduct funnel evaluations, sales forecasting, revenue reporting, product analytics, and marketplace analysis.
- Collaborate directly with the CEO and CRO to generate insights that support company growth.
Requirements
- 4+ years of experience in a highly analytical role.
- Strong experience in one or more areas such as ETL pipelines, dbt data modeling, or business intelligence, with exposure to SQL, dbt, Python, and data warehouses.
- 3+ years of collaboration with growth or product teams, including communicating with nontechnical colleagues and providing data tools and access.
- Ability to own projects end-to-end, work autonomously, and operate effectively in a small team.
- Interest in learning and testing new data tools, including AI, to improve data availability and usefulness.
- Ability to work in person at the Los Angeles or Boston office 3–4 days per week.
Culture & Benefits
- Hybrid work with regular in-person collaboration in Los Angeles or Boston.
- Competitive compensation based on location, experience, and role scope.
- Equity and benefits are included.
- Opportunity to work at a growing podcast technology startup backed by venture capital.
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