7 дней назад
Middle Marketing Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Middle Marketing Analyst (SQL/BI): Analyzing marketing performance across acquisition channels, campaigns, funnels, and websites while building dashboards and improving analytical foundations with an accent on attribution, KPI consistency, and data quality. Focus on investigating metric changes, modeling marketing data, and delivering actionable insights through SQL-based analysis and BI reporting.
Location: Multiple locations; fully remote. The role is open to candidates in multiple countries, with compensation determined by confirmed work location. No mandatory office days; occasional company offsites are fully covered.
Company
provides AI-powered trust infrastructure for identity and business verification, fraud prevention, transaction monitoring, and risk workflows.
What you will do
- Analyze marketing performance across paid acquisition, events, product marketing, and website channels.
- Build, maintain, and improve dashboards and reports for marketing teams.
- Conduct ad-hoc analyses, investigate metric changes, and explain campaign or lead performance.
- Analyze acquisition funnels, marketing costs, and attribution models, including multi-touch attribution where applicable.
- Collaborate with Sales Analytics and Unit Economics on shared definitions, metrics, and data models.
- Improve data quality, consistency, and the analytical foundations supporting marketing operations.
Requirements
- 3–4+ years of experience in data analytics, including hands-on marketing analytics.
- Strong SQL skills and experience with analytical databases such as ClickHouse or similar.
- Practical knowledge of marketing metrics, campaign performance analysis, attribution models, or KPI frameworks.
- Experience building clear, actionable dashboards for non-technical stakeholders using BI tools such as Apache Superset or similar.
- Strong communication skills and the ability to investigate problems and turn data into actionable insights.
Nice to have
- Experience with web analytics tools such as Google Analytics.
- Experience with attribution modeling and DBT or other data transformation tools.
- Python experience for data analysis or automation.
Culture & Benefits
- Remote-first, trust-based culture with flexible working hours and no attendance trackers.
- Birthday holiday, 10 personal days, seven sick days without paperwork, and additional Christmas and New Year time off.
- Learning opportunities and coverage for role-specific professional events.
- Financial bonuses for marriage and welcoming a new baby.
- Access to the tools and hardware needed for the role.
- Fully covered team offsites several times a year.
Hiring process
- TA screening.
- Hiring Manager interview.
- Assignment followed by a final interview.
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