About The Role

Join our Marketing organization as a Data Analyst, where you will support data-driven decision-making and deliver actionable insights. You will partner closely with Marketing and cross-functional stakeholders, analyze campaign performance, and help optimize marketing strategies through data. The ideal candidate has strong SQL expertise, experience with BI tools, and the ability to translate complex data into clear business recommendations.

Serve as the primary analytics partner for the Marketing team, providing actionable insights and recommendations.
Write and optimize complex SQL queries to extract, transform, and analyze large datasets, and build, maintain, and improve dashboards using BI tools.
Analyze marketing performance across various channels, define and report on key marketing KPIs, and identify trends, risks, and growth opportunities.
Experience defining and tracking KPIs and business metrics
Expert-level SQL skills with experience writing complex SQL queries (joins, CTEs, window functions, subqueries, aggregations, query optimization, and data transformation). This is a core requirement
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Business Analytics, or a related quantitative field
Strong analytical and problem-solving skills with the ability to interpret large datasets and identify actionable insights
Excellent communication and presentation skills with the ability to explain technical findings to non-technical stakeholders
Strong experience using BI and data visualization tools such as Tableau, Power BI, Looker, or similar platforms
Experience building dashboards, reports, and executive-level presentations
Strong English communication skills
3+ years of experience as a Data Analyst, Marketing Data Analyst, Business Analyst, or Analytics Analyst
Experience as a Marketing Data Analyst within a SaaS, IT, software, or technology company
Strong understanding of marketing metrics, including: ROI, ROAS, Attribution, Customer Acquisition Cost (CAC), Lifetime Value (LTV), Marketing Spend, Conversion Rate
Experience with Google Ads, Facebook Ads Manager, Google Analytics, HubSpot, or similar marketing platforms
Experience working with cloud data warehouses such as BigQuery, Snowflake, or Redshift
Experience supporting B2B SaaS marketing teams
Experience with AI tools or analytics automation is a plus
Experience with Python or R for data analysis is an advantage

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