Business Data Analyst

Proactive Appointments; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension scheme (4% matched)

Life cover (3x)

Cash plan

Sick pay

Salary sacrifice

Hybrid working (2 days on-site)

Job summary

Proactive Appointments is seeking a Business Data Analyst to support an in-flight AI programme. The role focuses on embedding AI at scale, measuring operational and financial impact, and translating business needs into measurable KPIs.

You will work with SMEs, data scientists and engineers across the business, delivering dashboards and automated reporting while monitoring AI-enabled workflows for continuous improvement.

Qualifications

• 5+ years in Data Business Analyst role.
• Strong data quality and KPI focus.
• Proficient in Python and SQL.
• Experience building Power BI dashboards.
• Experience defining success metrics for programmes.
• Experience monitoring AI-enabled workflows in production.
• Strong stakeholder management across cross-functional teams.

Responsibilities

• Track the commercial impact of AI transformation activity.
• Identify measures to assess operational and financial impact of AI in workflows.
• Monitor workflows to ensure outcomes and efficiencies are delivered.
• Collaborate with SMEs, partners, data scientists and engineers to achieve objectives.

Skills

Data quality & KPIs

Python

SQL

Azure/Databricks

Data architecture

Power BI

Data BA experience (5+ yrs)

Metrics definition & baselines

AI workflows monitoring

Stakeholder management

Tools

Databricks

Azure

Job description

Business Data Analyst

Our client is urgently looking for an experienced Change & Engagement Lead, with good demonstrable experience with AI to join their team on an 18-month Fixed-Term basis.

Our client is looking to get AI embedded at scale - a more structured and measurable manner, into the delivery of our client's services across the group.

This is a new role that sits within the = Data function created to support the in-flight AI Programme. Working closely with our Subject Matter Experts (SMEs) and Partners across business areas, AI transformation lead, Data scientists and engineers, you will track the commercial impact of their AI transformation activity.

You'll identify and define what measures need to be in place to measure the Operational and Financial impact of AI within workflows that have been scoped for automation. Once workflows are in place, you'll then help to monitor them to ensure they deliver expected outcomes and efficiencies, whilst suggesting further refinement based on measured KPIs.

This is an individual contributor role, but you will be working across the business to successfully deliver your objectives.

You will be rewarded with an excellent salary, as well as a brilliant benefits package including, hybrid 2 days on-site, pension scheme (4% matched), 3x life cover, cash plan, sick pay, salary sacrifice and many, many more perks!

Business Data Analyst - Key Skills:

• Strong data skills: assessing data quality and fitness for purpose across multiple source systems, mapping how data moves between them and what KPIs can be measured at what stage of the workflows, and contributing to target data models.
• Proficiency in Python and SQL, experience on a cloud data platform (e.g. Azure, Databricks), and an understanding of data architecture
• Experience building Power BI dashboards and automated reporting for non-technical stakeholders.
• Substantial experience (typically 5+ years) in a Data Business Analyst role, gathering requirements, and translating them into technical requirements for implementation
• Experience defining success metrics and baselines for a programme or product and designing before-and-after analysis to show measurable impact and benefits realisation, ideally in terms the business cares about (productivity, quality, cost, margin)
• Experience monitoring models or AI-enabled workflows in Production and interpreting business outcomes from provided data, with the ability to recommend and drive improvements.
• Strong stakeholder skills: the ability to work with cross-functional teams and subject matter experts, translate their objectives into well-defined, testable KPIs, and explain trade-offs and results clearly to senior, non-technical audiences`