Senior MI Analyst and Azure Engineer

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 leveragingcutting-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,integrityand 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,analyticsand 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.

Whatyou'llbe doing:

Data Quality:

• Setupcustom SQL queries to resolve complex data inquiries and integrate AI into daily business operations.

• Ensure all data feeding MI dashboards isaccurate, complete andvalidate, build QA checks, flaganomaliesand drive corrective actions within teams.

• Reconcile and standardise data from multiple sources and platforms.

• Document definitions, KPIs and logic toreduce ambiguity.

• Attainproficiencyin 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.

Deliverreports:

• 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:

• Identifypatterns and emerging trends using descriptive and diagnostic analytics; turn data into actionable recommendations.

• Partner with senior internal and client stakeholders to understand their requirementsand deliver tailored analytics and insightsthat is clearly presented.

Improve process:

• Review and streamline data capturing and reporting processes to improve accuracywith 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 departmentand ensure smooth collaboration and quality outputs.

Whatyou'llneed:

• 5 10years experienceinMI,Businessanalysisandreporting withprogression to a senior level.

• Advanced Excel (complex formulas, merging datasets, pivot tables).

• Hands-on experience withMicrosoft Fabric understandinglakehouseconcepts, 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.

• Proficiencyin utilising AI technologies and various large language models (LLMs) to enhance role efficiency.

• Strong business analysis skills documentingand defining KPIs, prioritising competing stakeholder demands.

• Understandingof marketing / commercial operations and relevant KPIs.

• Excellent communication skills comfortable presenting tosenior stakeholders and translating technical concepts into business language.

• Self-motivated,organisedand proactiveable to work independently, manage multiple priorities and follow through.

• Collaborative team player with a problem-solving mindset, big-picturethinkingand 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 operationsleads.

• Project and account managers.

• Internal and external client stakeholders.

• System owners and heads of supporting functions.

Req ID - 16495

#BTG+

Our values shape everything we do:

BeAmbitiousto succeed

BeImaginativeto push the boundaries of what's possible

BeInspirationalto do groundbreaking work

Bealways learningand listening to understand

BeResults-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.