d) at Contentful

Dublin, County Dublin, Ireland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

At least 7+ years of experience working as a dedicated data or product analyst, ideally in a B2B SaaS environment
Fluency in SQL for complex querying, data manipulation, and optimization across enterprise-scale data warehouses (e.g., Redshift)
Experience visualizing complex data and using modern BI tools (e.g., Tableau, Looker)
Solid grasp of statistical methods and principles, including quantitative analysis and regression modelling, and experience in applying these to complex business problems, ideally working with Python
Proven ability to design, implement, and maintain repeatable, scalable analytical frameworks that drive consistent measurement across multiple product areas
Proven ability to work autonomously, translating ambiguous business questions into clear analytical plans and effectively presenting data to influence strategic product and business decisions
Desirable Requirements
Practical experience with causal inference frameworks or predictive modeling to assess the impact of product changes beyond simple observation
Deep understanding of the commercial/financial side of a SaaS company

Responsibilities

Design, implement, and maintain the end-to-end analytical frameworks linking user behavior, customer value, and commercial outcomes (e.g., retention, expansion)
Design and maintain analytical frameworks (e.g., funnel analysis, cohort analysis, statistical modeling) to provide reliable and reproducible measurement of product performance
Perform deep-dive quantitative analysis utilizing statistical methods to measure the drivers of product success, operational efficiency, and customer experience
Clearly tell the story of your insights for technical and business stakeholders, distilling complex analytical findings into actionable recommendations and strategic narratives
Collaborate with stakeholders across Product and Customer Experience to define, implement, and continuously monitor key product and operational metrics, including setting targets for new initiatives
Work closely with Analytics Engineers to ensure data quality, tracking adherence, and the integrity of product event schemas and analytical datasets
Build and maintain insightful dashboards and reports in our BI tool (e.g., Looker, Tableau) that provide clear, self-service information for leaders across the business

Skills

Key technologies and capabilities for this role

SQLPythonRStatistical ModelingCohort AnalysisFunnel AnalysisData VisualizationTableauLookerData Storytelling

Questions & Answers

Common questions about this position

What experience is required for the Senior Data Analyst role?

At least 7+ years of experience working as a dedicated data or product analyst is required, ideally in a B2B SaaS environment.

What are the key technical skills needed for this position?

Fluency in SQL for complex querying, data manipulation, and optimization across enterprise-scale data warehouses like Redshift is critical, along with expertise in statistical methods, funnel analysis, cohort analysis, and statistical modeling.

Is SQL experience required for this role?

Yes, mastery in SQL for complex querying, data manipulation, and optimization across enterprise-scale data warehouses such as Redshift is a critical requirement.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What tools or skills in visualization are mentioned?

Experience building and maintaining insightful dashboards and reports in BI tools such as Looker or Tableau is required.

What makes a strong candidate for this Senior Data Analyst role?

A strong candidate has 7+ years in data or product analysis preferably in B2B SaaS, SQL mastery, deep statistical knowledge, ability to create actionable insights, and experience with analytical frameworks like funnel and cohort analysis.

Contentful

Digital content management platform for businesses

About Contentful

Contentful offers a platform for digital content management that enables businesses to create, manage, and deliver content without coding. Its content management system (CMS) is designed for teams to streamline their content production and maintain a consistent experience across various brands and channels. Unlike competitors, Contentful operates on a freemium model, providing free access to basic features while charging for advanced capabilities. The company's goal is to empower businesses to effectively manage their digital content at scale.

Berlin, GermanyHeadquarters

2013Year Founded

$324.4MTotal Funding

SERIES_FCompany Stage

Consumer Software, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Health Insurance

Stock Options

Fertility Treatment Support

Unlimited Paid Time Off

Parental Leave

Professional Development Budget

Wellness Program

Phone/Internet Stipend

Home Office Stipend

Risks

Emerging CMS platforms with lower costs threaten Contentful's market share.

Integration challenges from the Ninetailed acquisition could disrupt operations.

The freemium model may limit revenue growth if users don't convert to paid plans.

Differentiation

Contentful offers a composable content platform for digital-first businesses.

The platform integrates seamlessly with hundreds of tools through open APIs.

Contentful's CMS allows content management without needing to write code.

Upsides

Contentful's acquisition of Ninetailed enhances its AI-driven content personalization capabilities.

Partnerships with Vercel and SAP expand Contentful's integration and market reach.

The rise of generative AI tools presents opportunities for Contentful's platform enhancement.

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