Senior Analytics Engineer - Data Modeling & Dashboards

super

United States

Remote

USD 110,000 - 160,000

Full time

12 days ago
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Benefits offered by this job

Medical insurance
Open annual leave
Training and development

Job summary

super is seeking a data analytics engineer to design and build curated analytical datasets, metric implementations, and semantic models that enable self-service analytics across a sports, gaming, and fan-experiences tech platform. You will collaborate with product, data science, and commercial teams to turn evolving business needs into robust data structures.

In this role you will own production Tableau dashboards and contribute to data quality, lineage, and documentation, while applying

Qualifications

  • Experience building analytical datasets and metrics in modern data warehouses.
  • Strong SQL and data modelling fundamentals for scalable reports.
  • Excellent communication and cross-functional collaboration skills.

Responsibilities

  • Design and build curated analytical datasets and semantic models for self-service analytics.
  • Develop scalable data warehouse models from product and commercial needs.
  • Partner with product, data science, and business teams to translate requirements.
  • Create and own Tableau dashboards on curated data with trusted sources.
  • Improve data quality, observability, and documentation.
  • Refactor ad-hoc logic into reusable models used by multiple teams.
  • Treat semantics as code with version control and CI/CD.

Skills

SQL
Tableau
Data warehouse
Dimensional modelling
Ownership
Communication

Tools

Snowflake
BigQuery
Redshift
DataHub

Job description

super is seeking a data analytics engineer to design and build curated analytical datasets, metric implementations, and semantic models that enable self-service analytics across a sports, gaming, and fan-experiences tech platform. You will collaborate with product, data science, and commercial teams to turn evolving business needs into robust data structures.

In this role you will own production Tableau dashboards and contribute to data quality, lineage, and documentation, while applying

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