Senior Data Analyst: A/B Testing, BI & Data Viz

United States Digital Space LLC

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

8 days ago
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Job summary

United States Digital Space LLC seeks a Senior Data Analyst to drive data-informed decisions through advanced A/B testing, statistical analysis, and enterprise BI solutions. You'll be embedded with the client's team, requiring autonomy and professional representation, with 3–4 days on-site in the Euston area.

You will design semantic models in Power BI, validate data pipelines with Databricks, and collaborate with cross-functional teams to deliver scalable analytics, governance, and trusted

Qualifications

  • Power BI dashboards and semantic data models for enterprise reporting.
  • Strong statistics and experimental design for A/B testing.
  • Advanced SQL for complex queries.
  • Python for data analysis and automation (pandas, numpy).
  • Experience with ETL and data pipelines (Databricks).
  • Ability to transform business requirements into BI solutions.
  • Excellent stakeholder management and fluent English.
  • Autonomy and client-facing work in hybrid environments.

Responsibilities

  • Design, implement, and analyze A/B tests to measure product performance.
  • Build and optimize Power BI dashboards and data models.
  • Collaborate with data engineering to validate data pipelines in Databricks.
  • Translate business needs into scalable analytics solutions.
  • Present findings to stakeholders and act as trusted advisor.

Skills

Power BI
Statistical analysis
SQL
Python for data analysis
Data visualization
Communication
Autonomy
Stakeholder management

Tools

Databricks

Job description

United States Digital Space LLC seeks a Senior Data Analyst to drive data-informed decisions through advanced A/B testing, statistical analysis, and enterprise BI solutions. You'll be embedded with the client's team, requiring autonomy and professional representation, with 3–4 days on-site in the Euston area.

You will design semantic models in Power BI, validate data pipelines with Databricks, and collaborate with cross-functional teams to deliver scalable analytics, governance, and trusted

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