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Employment type in the employer’s posting: Full timeFrom the employer’s posting
The Business Intelligence Analyst is a cross‑functional role responsible for designing, developing, and maintaining Business Intelligence (BI), analytics, and AI‑enabled solutions that support strategic, tactical, and operational decision‑making across the organization.
Provide functional support and escalation for BI incidents, fixes and enhancements
Design and maintain small to mid-sized analytics and automation solutions, such as Power Automate flows
Maintain documentation and governance for BI reports and digital solutions
Review and administer user access and security groups for BI reports
Monitor BI platform performance and Azure resource usage
The Business Intelligence Analyst is a cross‑functional role responsible for designing, developing, and maintaining Business Intelligence (BI), analytics, and AI‑enabled solutions that support strategic, tactical, and operational decision‑making across the organization. Working closely with stakeholders across key business functions, the role translates business requirements into high‑quality BI reports, including development of selected analytics and automation solutions, while ensuring appropriate documentation, governance, and ongoing support.
Act as the primary functional support and escalation point for BI‑related incidents, enhancements, bug fixes, and logic updates.
Design, develop and maintain small to mid-sized analytics and automation solutions (e.g. BI logic enhancements, Power Automate flows, analytics pipelines)
Maintain complete documentation and governance for all BI reports and digitalization solutions
Review and administer user access and security groups to ensure BI reports are shared with appropriate audiences
Monitor BI platform performance and Azure resource usage to proactively identify latency, stability, or capacity issues.
Bachelor’s degree in relevant technical disciplines such as Computer Science, Data Science, Business Analytics, Engineering, or a related field.
Proven experience gathering business requirements and translating them into functional and technical specifications.
Ability to manage priorities, meet deadlines, and adapt to changing requirements and schedules.
Experience working with Microsoft BI technologies and tooling, including Power BI, Power Query, DAX, and Azure components such as SQL Database, Data Factory, and data modeling.
Proven experience in data-focused or analytics roles, supporting decision-making through reporting and insights.
Demonstrated ability to take initiative, innovate, and contribute to digitalization and AI‑driven solutions with a structured, analytical approach.
Qualifications and Experience - Bachelor’s degree in relevant technical disciplines such as Computer Science, Data Science, Business Analytics, Engineering, or a related field. - Proven experience gathering business requirements and translating them into functional and technical specifications.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 5 and day 41.
From 10,933 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- Proven experience in data-focused or analytics roles, supporting decision-making through reporting and insights. - Exposure to, or strong interest in, modern analytics and automation technologies including Python, Microsoft Fabric, Copilot Studio, and Power Automate. - Demonstrated ability to take initiative, innovate, and contribute to digitalization and AI‑driven solutions with a structured, analytical approach.
- Ability to manage priorities, meet deadlines, and adapt to changing requirements and schedules. - Experience working with Microsoft BI technologies and tooling, including Power BI, Power Query, DAX, and Azure components such as SQL Database, Data Factory, and data modeling. - Proven experience in data-focused or analytics roles, supporting decision-making through reporting and insights.
- Review and administer user access and security groups to ensure BI reports are shared with appropriate audiences in accordance with data security policies. - Monitor BI platform performance and Azure resource usage to proactively identify latency, stability, or capacity issues. - Maintain demand‑management documentation and ensure all required information is prepared and updated ahead of scheduled review meetings.
- Engage regularly with teams across regions and offshore to understand business processes, evolving requirements, and opportunities for analytics and automation. - Manage and maintain the BI reports repository in Azure Storage, ensuring structure, accuracy, and regular updates. - Administer licenses and manage access to the Power BI reporting environment, balancing security, performance, and accessibility.
- Manage and maintain the BI reports repository in Azure Storage, ensuring structure, accuracy, and regular updates. - Administer licenses and manage access to the Power BI reporting environment, balancing security, performance, and accessibility. - Collaborate with IT Security to ensure data collection, storage, and reporting solutions are secure, resilient, and compliant with company policies.
- Proven experience gathering business requirements and translating them into functional and technical specifications. - Hands‑on experience designing and developing data‑driven reports, dashboards, metrics, and visualizations using the Microsoft Power BI platform. - Ability to manage priorities, meet deadlines, and adapt to changing requirements and schedules.
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New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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Aberdeen
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