Senior Analytics Engineering Manager (wmd)

About the role

Were looking for a Senior Analytics Engineering Manager to lead one of our analytics engineering functions at the intersection of data infrastructure and business intelligence. Youll own the data models pipelines and semantic layer that power decisions.

What youll do

• Lead and grow a team of analytics engineers (ICs and potentially tech leads) providing mentorship technical direction and career development.

• Own the design and governance of the companys core data models including customer order product inventory and marketing attribution domains.

• Define and enforce standards for dbt project structure testing documentation and code review across the analytics engineering team.

• Drive adoption of a semantic layer or metrics layer to enable consistent KPI definitions across all reporting surfaces.

• Collaborate with stakeholders in merchandising marketing finance and operations to translate business requirements into robust data models.

• Establish and track SLAs for data freshness accuracy and pipeline reliability; lead incident response when data quality issues arise.

• Evaluate and evolve the modern data stack (warehouse transformation orchestration BI) as business needs change.

• Represent analytics engineering in cross-functional planning roadmapping and executive stakeholder conversations.

Qualifications :

What were looking for

• 58 years of experience in analytics engineering data engineering or a closely related field with at least 23 years in a people management role.

• Deep expertise with dbt (dbt Core or dbt Cloud) including advanced modeling patterns macros testing and documentation best practices.

• Strong SQL skills and fluency with a cloud data warehouse (Snowflake BigQuery or Databricks preferred).

• Proven experience in e-commerce or retail data domains orders returns inventory customer lifetime value product performance digital funnels.

• Track record of building high-trust data products: well-documented tested and adopted by stakeholders across the business.

• Experience managing stakeholder relationships and translating ambiguous business questions into clearly scoped data work.

• Strong written and verbal communication skills; ability to convey technical concepts to non-technical audiences.

Nice to have

• Experience implementing or operating a semantic/metrics layer (e.g. dbt Semantic Layer Cube MetricFlow).

• Familiarity with real-time or near-real-time data pipelines for retail use cases (inventory sync price updates etc.).

• Exposure to ML feature engineering or working alongside data science teams on shared data infrastructure.

• Experience with BI tools such as Looker Tableau or Metabase and understanding of how modeling choices affect reporting performance.

Additional Information :

About us

At AVIV we are an equal opportunities employer and an organisation where everyone is welcomed to be their authentic selves. We strongly encourage individuals with visible and non visible disabilities all educational backgrounds people from minority backgrounds those from the LGBTQIA community and parents and carers to apply. If you need reasonable adjustments at any point in the application or interview process or wish to discuss part time or flexible working requirements please let us know.

In your application please feel free to note which pronouns you use (For example - she/her/hers he/him/his they/them/theirs etc).

Our ambition is to be the leading Employer in PropTech across Europe and this is a pivotal time to join us and unlock your perfect job!

#LI-Hybrid #LI-Onsite #hybrid

Remote Work :

No

Employment Type :

Full-time