Senior Analytics Engineer - Marketing

Rozgoo; United States; Remote; USD 130.000 - 190.000; Vollzeit

Zusammenfassung

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

You will deliver self-serve datasets and dashboards, ensure data quality, and enable teams to use Omni and GTM datasets through documentation and training.

Qualifikationen

• Extensive analytics engineering experience with sophisticated SQL, dbt, and Snowflake.
• Proficient in BI tools (Tableau, Looker, PowerBI, Snowsight) to deliver actionable insights.
• Experience with data ingestion/activation using no-code tools (Fivetran, Stitch).
• Knowledge of metadata, data quality checks, and data masking best practices.

Aufgaben

• Create trusted, self-serve datasets and reporting layers powering marketing reviews and funnel health.
• Identify and resolve data quality issues across Marketing and GTM systems.
• Add comprehensive metadata including lineage, ownership, definitions, and data quality checks.

Kenntnisse

Advanced SQL

dbt

Snowflake

Data modeling

Data quality

Tools

Fivetran

Stitch

Snowsight

Tableau

Looker

PowerBI

Jobbeschreibung

What do we do?

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 6000 software sellers in 245 territories globally.

The Role:

We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with the Marketing team in order to ensure that funnels are being tracked and surfaced in our data models and that Marketing campaigns can be evaluated using accurate data.

What you’ll do:

• Create trusted, self-serve datasets and reporting layers in Omni that power Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decision-making.


• Proactively identify and resolve data quality issues across Marketing and GTM systems, including source tracking, campaign metadata, funnel stage completeness, attribution coverage, and spend data.


• Add comprehensive metadata to datasets, including documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking.


• Partner with Marketing stakeholders to translate business questions into robust data products, dashboards, analyses, and decision-ready insights.


• Enable Marketing teams to confidently use Omni and core GTM datasets through documentation, training, office hours, and self-serve resources.


• Activate data from Snowflake into operational tools where needed, supporting audience segmentation, lifecycle programmes, campaign optimisation, or GTM workflows.

We’d love to hear from you:

• Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.


• Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.


• Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.


• Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.


• Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.


• Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.


• Familiar with Marketing and GTM data concepts such as campaign tracking, attribution, funnel