Remotery

Senior Analytics Engineer – Marketing

Posted Jul 17

This is a fully remote position, open to applicants in United Kingdom.

πŸ“‹ Description

β€’ Drive substantial business impact by shaping our data infrastructure.

β€’ Develop robust data models.

β€’ Advocate for best practices in analytics engineering.

β€’ Collaborate closely with the Marketing team.

β€’ Ensure that funnels are tracked and represented in our data models.

β€’ Assess Marketing campaigns using precise data.

β€’ Create reliable, self-service datasets.

β€’ Proactively identify and address data quality issues.

β€’ Add comprehensive metadata to datasets.

β€’ Partner with Marketing stakeholders to convert business inquiries into effective data products.

β€’ Enable Marketing teams to confidently utilize Omni and core GTM datasets.

β€’ Activate data from Snowflake into operational tools.


⛳️ Requirements

β€’ Extensive experience in analytics engineering or similar data roles.

β€’ Proven expertise in advanced SQL, dbt, and Snowflake.

β€’ Proficient in using BI tools (e.g., Tableau, Looker, PowerBI, Snowsight).

β€’ Skilled in data ingestion and activation using no-code tools (e.g., Fivetran, Stitch).

β€’ Knowledgeable in effectively managing metadata, documentation, data quality checks, and sensitive data masking.

β€’ Effective at collaborating with a diverse range of stakeholders.

β€’ Experienced in conducting training sessions and providing informal mentorship to junior analytics team members.

β€’ Familiar with Marketing and GTM data concepts such as campaign tracking, attribution, funnel stages, lead/account lifecycle, pipeline generation, paid media, web analytics, CRM data, and marketing automation data.

β€’ Experienced with common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, ad platforms, enrichment tools, or similar.


🏝️ Benefits

β€’ Unlimited holidays.

β€’ 4 months of paid family leave, regardless of gender.

β€’ Investment in learning opportunities.

β€’ Personal development through constant exposure to new challenges.

β€’ Annual learning fund.

β€’ Regular internal and external training.

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