updated 25 days ago
Data Analyst (Marketing)
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Job description
Text:
TL;DR
Data Analyst (Marketing) (SQL/BI): Supporting marketing decision-making through complex SQL analysis, scalable dashboards, and campaign performance reporting with an accent on KPI tracking, attribution, and data quality. Focus on translating large datasets into business recommendations, automating reporting, and identifying growth opportunities across paid and organic channels.
Company
provides an all-in-one hospitality technology platform that helps property managers automate, optimize, and scale their operations.
What you will do
- Act as the primary analytics partner for the Marketing organization and collaborate with Product and Business teams.
- Write and optimize complex SQL queries to extract, transform, and analyze large datasets.
- Build, maintain, and improve dashboards and reports using Looker, Tableau, Power BI, or similar BI tools.
- Analyze performance across Google Ads, Facebook Ads, email, paid search, paid social, and organic channels.
- Define, monitor, and report on marketing KPIs including ROI, ROAS, CAC, LTV, attribution, conversion rate, and marketing spend.
- Translate analytical findings into business recommendations, identify growth opportunities, and improve reporting through automation.
Requirements
- 3+ years of experience as a Data Analyst, Marketing Data Analyst, Business Analyst, or Analytics Analyst.
- Expert-level SQL skills, including joins, CTEs, window functions, subqueries, aggregations, query optimization, and data transformation.
- Strong experience with BI and data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
- Strong analytical, problem-solving, communication, and presentation skills, including the ability to explain technical findings to non-technical stakeholders.
- Experience building dashboards, reports, executive presentations, and tracking KPIs and business metrics.
- Strong English communication skills and a bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, Computer Science, or Business Analytics.
Nice to have
- Marketing analytics experience in a SaaS, IT, software, or technology company.
- Experience with Google Ads, Facebook Ads Manager, Google Analytics, HubSpot, or similar marketing platforms.
- Experience supporting B2B SaaS marketing teams and working with BigQuery, Snowflake, or Redshift.
- Python or R experience for data analysis.
- Experience with AI tools or analytics automation.
Culture & Benefits
- Work within a fast-growing global startup focused on hospitality technology.
- Collaborate with colleagues across 16 countries.
- Environment emphasizing career growth, collaboration, and enjoyment.
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