Lead Data Business Analyst

Data Freelance Hub; United Kingdom; On-site; GBP 80,000 - GBP 100,000; Full time

Job summary

A leading data consultancy in Reading is looking for a Lead Data Business Analyst for a 6-month contract. The role involves delivering end-to-end data solutions, ensuring data quality, and collaborating with stakeholders. Candidates should have proven experience as a Data Business Analyst, strong skills in data platforms, and the ability to work autonomously. This is an opportunity to join a growing team in a pivotal project with significant investment backing.

Qualifications

• Proven experience as a Data Business Analyst in a consultancy or data-driven environment.
• Strong experience with data platforms, ingestion processes, and data validation.
• Expertise in data quality rules and property data.
• Ability to work autonomously and develop structured solutions.
• Excellent communication skills for complex data concepts.

Responsibilities

• Work closely with stakeholders to understand business requirements and translate them into actionable data solutions.
• Develop structured solutions from ambiguous requests and deliver results independently.
• Define and validate data ingestion processes and data quality rules.
• Collaborate with technical teams to ensure data platforms meet business needs.
• Identify gaps in data structures and recommend improvements.
• Document requirements and processes as needed.

Skills

Data platforms

Data ingestion processes

SQL

Data quality

Stakeholder management

Data modelling

BI/reporting tools

Job description

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for a Lead Data Business Analyst with an initial 6‑month contract at circa £700 per day, inside IR35. Key skills include data platforms, ingestion processes, SQL, and data quality. Experience in consultancy and property data is desirable.

United Kingdom – Reading, England, United Kingdom

#Data Governance #Business Analysis #Documentation #Data Ingestion #BI (Business Intelligence) #Data Analysis #Data Quality #SQL (Structured Query Language) #Data Integrity

About the Role

We are partnering with a specialist Data Consultancy that is seeking an experienced Senior Data Business Analyst to join their team. This role will play a key part in delivering end‑to‑end data solutions, from gathering business requirements to validating data ingestion processes and ensuring data quality. The ideal candidate will be a self‑starter who thrives in ambiguous environments and can take high‑level requests, build effective solutions, and deliver results without micromanagement. This is a fantastic opportunity to join a business that has just secured £50 million in investment and is working on a huge utilities project of national importance. This consultancy is building an elite team of data professionals, already outpacing competitors in the data consultancy space.

Key Responsibilities

• Work closely with stakeholders to understand business requirements and translate them into actionable data solutions.
• Take ownership of ambiguous requests, develop structured solutions, and deliver results independently.
• Define and validate data ingestion processes, data quality rules, and overall data integrity.
• Collaborate with technical teams to ensure that data platforms meet business needs.
• Identify gaps in data structures and recommend improvements.
• Document requirements and processes as needed, balancing documentation needs with project priorities.
• Ensure data governance best practices are followed.

Requirements

• Proven experience as a Data Business Analyst, ideally in a consultancy or data‑driven environment.
• Strong experience with data platforms, ingestion processes, and data validation.
• Expertise in data quality rules and working with property data is highly desirable.
• Ability to work autonomously, take ambiguous business needs, and convert them into structured solutions.
• Excellent stakeholder management skills with the ability to communicate complex data concepts clearly.
• Experience with SQL, data modelling, and BI/reporting tools is beneficial.

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