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Senior Analytics Engineer - Product (f/m/d)
Contentful
Dublin
On-site
EUR 70,000 - 90,000
Full time
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Job summary
A leading digital experience platform in Dublin is seeking a talented Analytics Engineer to enhance product analytics capabilities. This role involves building analytics pipelines, optimizing data for self-service analytics, and collaborating closely with various teams to ensure data accuracy. The ideal candidate has significant experience in analytics engineering, data modeling, and a strong proficiency in BI tools.
Benefits
Qualifications
- 5+ years of experience as an Analytics Engineer or similar role.
- Expert in building scalable analytics pipelines using dbt, SQL, and Jinja.
- Skilled in using BI platforms like Tableau.
Responsibilities
- Build analytics pipelines to convert product analyst queries into maintainable formats.
- Take ownership of medium-to-large analytics projects from scoping through implementation.
- Collaborate with engineering and product teams to manage data schemas.
Skills
Job description
Dublin, Dublin, Ireland
We are seeking an experienced Analytics Engineer to join our Product Analytics team. In this role, you’ll build analytics pipelines that help deliver actionable, automated user insights from product adoption data. You'll collaborate directly with product analysts, engineers, and business stakeholders to build robust data integrations, including Salesforce, Gainsight, JIRA and Github. Your work will be pivotal in empowering data-driven decisions across our organization, significantly impacting product strategy and customer engagement.
- Analytics Pipelines & Data Modeling: Convert existing product analyst queries and reports into efficient and maintainable analytics pipelines primarily using dbt, and optimize data for self-service analytics in Tableau.
- Owning Analytics Projects: Take ownership of medium-to-large analytics projects, from scoping through implementation.
- Product Event Data: Transform and maintain scalable product adoption datasets, ensuring ease of downstream integration and rapid onboarding of new events or features.
- Data Egestion: Develop and manage data pipelines for exporting curated datasets from Redshift to platforms like Salesforce and Gainsight using reverse ETL tools (e.g., Hightouch).
- Data Ingestion: Own end-to-end responsibility for ingesting key productivity data from platforms such as GitHub and JIRA into the data warehouse, enabling accurate internal reporting and analysis.
- Event Schema Management: Collaborate closely with Software Engineers and Product Analysts to define, manage, and approve event schemas in Segment, ensuring high-quality data.
Critical:
- Analytics Engineering Experience: 5+ years of experience as an Analytics Engineer or similar role.
- Data modeling and transformation: Expert in building scalable, maintainable analytics pipelines using dbt, SQL, and Jinja for effective data modeling and transformation.
- Query performance optimization: Skilled at optimizing datasets for fast, efficient querying in enterprise-scale data warehouses such as AWS Redshift.
- Reverse ETL and integrations: Practical knowledge of reverse ETL tools like Hightouch for delivering curated datasets to systems including Salesforce and Gainsight.
- Event Data Management: Adept at working with product event data—defining schemas, validating inputs, and transforming raw events into structured analytics-ready formats.
- Cross-functional collaboration: Confident when engaging with analysts, engineers, product managers, and business stakeholders to gather requirements and deliver actionable insights.
- BI tooling and performance: Well-versed in BI platforms such as Tableau, with a focus on optimizing underlying data structures for dashboard performance.
- Ingestion and orchestration tools: Skilled in using pipeline orchestration and data ingestion tools such as Airflow and Stitch, along with Python scripting for integrating diverse data sources.
- Large-scale data processing: Proficient with distributed query engines like AWS Athena or SparkSQL for working with datasets at the scale of billions of rows.
- Event streaming data: Experienced in working with live streamed event data, including transforming and modeling real-time inputs for analytics pipelines.
- LLMs and unstructured data: Able to apply LLM APIs and vector databases to analyze unstructured inputs, including customer call transcripts.
- Testing and containerization: Comfortable using Docker for local pipeline testing and writing comprehensive dbt tests for analytics workflows.
- Join an ambitious tech company reshaping the way people build digital experiences
- Full-time employees receive Stock Options for the opportunity to share in the success of our company
- Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
- We value Work-Life balance and You Time!A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days
- Time off to care for and focus on your growing family
- Use your personal annual education budget to improve your skills and grow in your career
- Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
- An annual wellbeing stipend to care for your physical, financial, or emotional health
- A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
- New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.
“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.
By clicking “Apply for this job,” I acknowledge that I have read the “ Contentful’s Candidate Privacy Notice ” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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