Senior Data Analyst

Senior Data Analyst

Posted 7 days ago by Randstad Digital

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Negotiable
Undetermined
Undetermined
London Area, United Kingdom
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Apache Spark Azure Databricks Business Acumen Cloud Computing Cloud Technology Databricks Data Science Extract Transform Load (ETL) Financial Services Full Stack Development Global Financial Services Key Performance Indicators (KPIs) Management Power BI Project Management Python (Programming Language) SQL (Programming Language) Stakeholder Management Statistical Methods Verification And Validation

Summary: The Senior Data Analytical Lead will join the Global Customer Success Data Science team, focusing on enhancing data capabilities and analytical foundations across international markets. This role requires a blend of technical expertise and business acumen to improve customer success metrics globally. The position involves building data pipelines, developing analytics solutions, and translating complex data into actionable insights. The ideal candidate will have extensive experience in data analytics, particularly within customer success and operations.

Key Responsibilities:

  • Build/maintain data pipelines, ETL, and cloud data environments.
  • Define/govern consistent international metrics.
  • Deliver scalable, multi-region analytics solutions.
  • Automate reporting, validation, and metrics (SQL, Python/R, modern data tools).
  • Develop clear dashboards (Tableau, Power BI, Looker, Qlik).
  • Conduct deep-dive analysis on customer pain points and inefficiencies.
  • Support experimentation/A/B testing with analytical frameworks.
  • Translate complex data into actionable recommendations for customer journeys and operations.
  • Communicate insights to technical and non-technical stakeholders, including leadership.
  • Partner with Product, CX, and Operations to shape global market strategy.

Key Skills:

  • 8+ years in Data Analytics or Data Science, ideally within Customer Success, Operations, or Digital Experience.
  • Expert SQL and strong Python or R skills.
  • Proven experience with Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark).
  • Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred).
  • Experience with call centre or digital support KPIs is a plus.
  • Exceptional communication, stakeholder influence, and project management skills.
  • A proactive, growth-oriented mindset.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Senior Data Analytical Lead – Global Customer Success

Location: London, UK

Industry: Leading Global Financial Services Client

Contract: 10 months contract

Day Rate: £260 to £277.73 umbrella

About the Role

We are seeking a highly skilled Senior Data Scientist / Analytical Lead to join the Global Customer Success Data Science team. This full-stack analytics role focuses on building scalable data capabilities and strengthening analytical foundations across international markets. You’ll combine deep technical expertise with strong business understanding to improve how customer success is measured, managed, and delivered globally.

Technical & Data Foundations

  • Build/maintain data pipelines, ETL, and cloud data environments.
  • Define/govern consistent international metrics.
  • Deliver scalable, multi-region analytics solutions.
  • Automate reporting, validation, and metrics (SQL, Python/R, modern data tools).

Advanced Analytics & Reporting

  • Develop clear dashboards (Tableau, Power BI, Looker, Qlik).
  • Conduct deep-dive analysis on customer pain points and inefficiencies.
  • Support experimentation/A/B testing with analytical frameworks.

Strategic Influence

  • Translate complex data into actionable recommendations for customer journeys and operations.
  • Communicate insights to technical and non-technical stakeholders, including leadership.
  • Partner with Product, CX, and Operations to shape global market strategy.

What You’ll Bring

  • 8+ years in Data Analytics or Data Science, ideally within Customer Success, Operations, or Digital Experience.
  • Expert SQL and strong Python or R skills.
  • Proven experience with Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark).
  • Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred).
  • Experience with call centre or digital support KPIs is a plus.
  • Exceptional communication, stakeholder influence, and project management skills.
  • A proactive, growth-oriented mindset.

Why Join?

You’ll become part of a world-class team dedicated to transforming customer success on a global scale. In this role, you’ll influence strategy across multiple markets, build high-impact analytical capabilities, and shape customer experiences for millions of users. If you thrive in a fast-paced environment, enjoy solving complex problems, and want to make a meaningful impact—this opportunity is for you.

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