Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.
As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.
Role: Senior MI Analyst and Azure Engineer
Location: Remote until further notice
A little bit about the role:
We are seeking a Senior MI Analyst with experience as a Microsoft Fabric Analytics Engineer to own the accuracy, integrity and strategic value of data across our global client accounts. You will be the trusted guardian of MI dashboards and reports, enabling account leadership to make confident, data-driven decisions. Working at the intersection of data quality, analytics and stakeholder management, you will translate complex datasets into clear insights, drive a culture of “living in the data,” and continuously improve how we capture, report and act on business performance. You will bring a strong background in Azure Data Services and Microsoft Fabric and collaborate closely with cross-functional teams to deliver high-quality data platforms. If you are a pragmatic problem-solver who thrives in a fast-paced environment, equally comfortable with detail and the big picture, and skilled at turning numbers into compelling stories, this role is for you.
What you'll be doing:
Data Quality:
- Setup custom SQL queries to resolve complex data inquiries and integrate AI into daily business operations.
- Ensure all data feeding MI dashboards is accurate, complete and validate, build QA checks, flag anomalies and drive corrective actions within teams.
- Reconcile and standardise data from multiple sources and platforms.
- Document definitions, KPIs and logic to reduce ambiguity.
- Attain proficiency in Oliver's proprietary tools, including OMG and the AI Sandbox.
Data Solutions:
- Deliver advanced BI and analytics solutions using Microsoft Fabric
- Build and manage data pipelines via Azure Data Factory
- Develop robust reporting frameworks using Power BI Integrated with Fabric
- Build and manage data pipelines, deliver BI solutions, and design scalable workflows.
- Maintain end-to-end data pipelines and data integration solutions using Azure Data Factory and Microsoft Fabric.
Deliver reports:
- Develop reports and management information (MI) dashboards that adhere to project briefs and client key performance indicators (KPIs), utilising tools such as PowerPoint, ZOHO Analytics, and Microsoft Power BI.
Analysis and Stakeholder Engagement:
- Identify patterns and emerging trends using descriptive and diagnostic analytics; turn data into actionable recommendations.
- Partner with senior internal and client stakeholders to understand their requirements and deliver tailored analytics and insights that is clearly presented.
Improve process:
- Review and streamline data capturing and reporting processes to improve accuracy with minimal overhead.
- Champion best practices and continuous improvement.
Provide support to the wider team:
- Coach and mentor junior team members, provide bandwidth support to the head of the department and ensure smooth collaboration and quality outputs.
What you'll need:
- 5 – 10 years’ experience in MI, Business analysis and reporting with progression to a senior level.
- Advanced Excel (complex formulas, merging datasets, pivot tables).
- Hands-on experience with Microsoft Fabric – understanding lakehouse concepts, medallion architecture, and pipeline orchestration.
- Strong SQL skills and cloud-native data engineering experience.
- Confidence working with Power BI, Azure Data Factory, and enterprise data models.
- Proficiency in utilising AI technologies and various large language models (LLMs) to enhance role efficiency.
- Strong business analysis skills – documenting and defining KPIs, prioritising competing stakeholder demands.
- Understanding of marketing / commercial operations and relevant KPIs.
- Excellent communication skills – comfortable presenting to senior stakeholders and translating technical concepts into business language.
- Self-motivated, organised and proactive – able to work independently, manage multiple priorities and follow through.
- Collaborative team player with a problem-solving mindset, big-picture thinking and a positive, can-do attitude.
Who you will work with:
- Global Head of Analytics, Insights and Reporting.
- Director of Enterprise Systems
- Central dashboarding and reporting team.
- Regional operations leads.
- Project and account managers.
- Internal and external client stakeholders.
- System owners and heads of supporting functions.
Req ID - 16495
#LI-DJ1 #BTG+
Our values shape everything we do:
Be Ambitious to succeed
Be Imaginative to push the boundaries of what’s possible
Be Inspirational to do groundbreaking work
Be always learning and listening to understand
Be Results-focused to exceed expectations
Be actively pro-inclusive and anti-racist across our community, clients and creations
Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.
Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'
