Business Data Analyst
Test Triangle City of London, England, United Kingdom
IT Services and IT Consulting · 51-200 employees
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
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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