Business Intelligence Analyst
SOC 15-2051.01 · ESCO 2511 · OSCA 273232
Role snapshot
Overview
Transforms raw data into dashboards, reports, and visualisations that help decision-makers spot trends and opportunities. Writes SQL queries, builds data models, and partners with stakeholders to translate business questions into analytical insights, driving informed strategic and operational decisions.
Empowers organisations to make data-driven decisions by providing clear, actionable insights from complex datasets, leading to improved efficiency, cost savings, and new business opportunities.
On the job
- Develop and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI).
- Write and optimise SQL queries to extract and manipulate data from various sources.
- Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
- Perform ad-hoc data analysis to identify trends, anomalies, and business opportunities.
- Ensure data quality and accuracy across all reporting and analytical outputs.
Tools & technology
Average salary
Job outlook
GrowingJob growth is expected to be above average over the next five years.
Education & training
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or Business Analytics. Relevant certifications in BI tools or data analysis are a plus.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Business Intelligence Analyst
Data & AI
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
conventional · CIE
Individuals who enjoy structured problem-solving, logical data analysis, and using established methods to deliver insights, while also engaging in creative data exploration and presenting findings, tend to excel in this role.
Personality characteristics
Curious
Enjoys exploring new datasets, discovering hidden patterns, and learning new analytical techniques.
Detail-oriented
Ensures accuracy in data extraction, transformation, and reporting, meticulously checking for discrepancies.
Analytical
Applies logical reasoning and systematic approaches to break down complex business problems into data questions.
Communicative
Clearly articulates complex data insights to non-technical stakeholders and collaborates effectively with teams.
Resilient
Maintains composure and focus when facing data quality issues, tight deadlines, or conflicting stakeholder requirements.
Best for
- Individuals who thrive on translating complex data into clear, actionable business intelligence.
- Professionals who enjoy building and maintaining robust data reporting solutions.
- Those who are passionate about using data to drive strategic and operational improvements.
Watch out for
- Requires strong attention to detail; errors in data or reporting can have significant business impacts.
- Balancing ad-hoc requests with long-term project work can be challenging.
- Requires continuous learning of new tools and data methodologies.
A week in the life
A representative working week for a Business Intelligence Analyst — where the deep work, meetings, and admin actually land.
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