Test Triangle

Business Data Analyst

Test Triangle City of London, England, United Kingdom

IT Services and IT Consulting · 51-200 employees

14 h ago
data-analyst Principal (10+ yrs) Full-time United Kingdom
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About the role

Engage with business stakeholders to gather requirements and translate them into actionable SQL-based analytics and dashboards. Perform root cause analysis, develop proof-of-concepts, and collaborate with technical teams to ensure data-driven solutions align with strategic objectives.

What they look for

SQL Python Azure Data Platform Azure Data Factory Azure Synapse Analytics Azure Databricks Azure Data Lake Power BI Data Modeling Business Analysis Stakeholder Management Root Cause Analysis Data Governance Consulting Agile Methodologies Reporting

Requirements

Requires 7-12+ years of experience with strong expertise in SQL, Python, and the Azure Data Platform ecosystem. Candidates must possess a consultative mindset with the ability to bridge the gap between complex business needs and technical data solutions.

Full description

Job Description: Senior Data Analyst / Business Data Analyst (Azure Data Platform)

Role Overview

We are seeking a highly consultative Senior Data Analyst / Business Data Analyst who combines strong business acumen with deep analytical and Azure data platform expertise. The ideal candidate will work directly with business stakeholders, report owners, and customers to understand business challenges, challenge requirements constructively, and translate them into actionable analytics solutions.

This role requires a hands-on professional who can perform rapid data investigations, build proof-of-concept analyses, and bridge the gap between business needs and technical data solutions.

Key Responsibilities

  • Engage

directly with business stakeholders, report owners, and customers to gather, analyze, and refine business requirements.

  • Translate

business requirements into SQL-based data analysis, reports, dashboards, and actionable insights.

  • Perform

root cause analysis and investigate data quality, reporting, and operational issues.

  • Develop

ad hoc analyses, prototypes, mock-ups, and proof-of-concepts to validate business ideas and requirements.

  • Challenge

business requirements constructively and recommend data-driven solutions that align with strategic objectives.

  • Collaborate

with data engineering, BI, and product teams to define data models, metrics, and reporting standards.

  • Interpret

complex datasets and present clear findings and recommendations to technical and non-technical audiences.

  • Support

analytics initiatives on Azure Data Platform technologies, ensuring alignment with business objectives.

  • Drive

continuous improvement in reporting, analytics processes, and data governance practices.

Required Skills & Experience

Technical Skills

  • Strong

expertise in SQL with the ability to write complex queries, troubleshoot issues, and perform advanced data analysis.

  • Proficiency

in Python for data analysis, data profiling, exploratory analysis, and rapid prototyping.

  • Solid

understanding of data modeling concepts, relational databases, and analytical data structures.

  • Experience

working with Azure Data Platform technologies such as:

  • Azure

Data Factory (ADF)

  • Azure

Synapse Analytics

  • Azure

Databricks

  • Azure

Data Lake

  • Power

BI

Business & Consulting Skills

  • Strong

business analysis and stakeholder management capabilities.

  • Ability

to work directly with customers and business users.

  • Experience

translating business problems into analytical and technical solutions.

  • Excellent

communication and presentation skills.

  • Strong

consulting mindset with the ability to challenge assumptions and influence decision-making.

  • Ability

to independently investigate issues, identify root causes, and recommend solutions.

Preferred Qualifications

  • Experience

in enterprise analytics, business intelligence, or data consulting engagements.

  • Exposure

to Agile delivery methodologies.

  • Experience

working in customer-facing roles within data and analytics programs.

  • Familiarity

with KPI frameworks, reporting governance, and business performance management.

Key Attributes

  • Highly

consultative and business-focused.

  • Strong

problem solver with an investigative mindset.

  • Hands-on

and analytical.

  • Customer-centric

with excellent stakeholder engagement skills.

  • Capable

of balancing business priorities with technical feasibility.

Experience: 7-12+ Years

Role Type: Senior Data Analyst / Business Data Analyst

Location: Onsite/Hybrid as per project requirements

This profile is ideal for candidates who can bridge business and technology, engage confidently with customers, and deliver business-driven analytics solutions rather than simply executing technical requests

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