Senior Analytics Engineer: Data Products & Marketing Analytics

Paddle; United Kingdom; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited holidays

4 months paid family leave

Remote-friendly

Job summary

Paddle is seeking a Senior Analytics Engineer to shape data infrastructure, build robust data models, and promote analytics best practices across the business. You will collaborate with Marketing to ensure funnels are tracked and campaigns are evaluated with accurate data.

You’ll create trusted self-serve datasets, resolve data quality issues, and add metadata, definitions and lineage to datasets. Training and documentation will enable teams to self-serve insights.

Qualifications

• Extensive experience in analytics engineering or related data roles.
• Expertise in SQL, dbt and Snowflake.
• Proficient in BI tools (Tableau, Looker, PowerBI) for actionable insights.
• Experience with data ingestion using no-code tools (Fivetran, Stitch).
• Knowledgeable in managing metadata, data quality checks and masking.

Responsibilities

• Create trusted, self-serve datasets and reporting layers in Omni for Marketing performance reviews and attribution.
• Identify and resolve data quality issues across Marketing and GTM systems.
• Add comprehensive metadata including lineage, definitions and data quality checks.
• Partner with Marketing to translate questions into robust data products and dashboards.
• Enable Marketing teams to use Omni and GTM datasets via documentation and training.
• Activate data from Snowflake into operational tools for segmentation and campaigns.

Skills

SQL

dbt

Snowflake

BI tools

Data modeling

Data quality

Tools

Tableau

Looker

PowerBI

Snowsight

Fivetran

Stitch

Salesforce

HubSpot

Marketo

Google Analytics

Job description

Paddle is seeking a Senior Analytics Engineer to shape data infrastructure, build robust data models, and promote analytics best practices across the business. You will collaborate with Marketing to ensure funnels are tracked and campaigns are evaluated with accurate data.

You’ll create trusted self-serve datasets, resolve data quality issues, and add metadata, definitions and lineage to datasets. Training and documentation will enable teams to self-serve insights.