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CV Template · Business Intelligence Analyst

Business Intelligence Analyst CV template.

A Business Intelligence Analyst CV needs to show more than an ability to build charts. Employers want proof that you can turn messy operational data into reporting assets that guide pricing, sales, finance, product, or supply chain decisions.

Writing a strong Business Intelligence Analyst CV

Hiring managers reviewing a Business Intelligence Analyst CV look for strong SQL skills, dashboard delivery experience, and a clear understanding of business metrics. Your CV should reference tools such as Power BI, Tableau, Looker, Excel, Snowflake, BigQuery, or SQL Server, along with the datasets and stakeholders you supported. Include examples of recurring reporting, KPI frameworks, data modelling, ETL collaboration, requirements gathering, and self-service analytics. If you have worked with finance reporting, sales pipelines, customer segmentation, churn analysis, or executive scorecards, make those deliverables easy to spot.

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Three things that matter most

  • Show the BI stack you actually used, including databases, visualisation tools, and any workflow platforms such as Jira, dbt, Alteryx, or Azure DevOps. Recruiters often screen Business Intelligence Analyst CVs by tool names before reading the project detail.
  • Describe the business questions behind your dashboards, such as tracking revenue leakage, monitoring sales funnel conversion, or reducing manual month-end reporting. This helps hiring managers see that your reporting work supported decisions, not just visual design.
  • Include data governance and quality work where relevant, such as defining KPI logic, reconciling source systems, documenting metric definitions, or validating dashboard outputs with finance or operations teams.

Skills hiring managers look for

SQL querying and optimisation Power BI dashboard development Tableau reporting Data modelling and star schemas KPI definition and metric governance ETL and data pipeline collaboration Excel Power Query and PivotTables Snowflake, BigQuery, or SQL Server

Frequently asked

How do I write a Business Intelligence Analyst CV with no experience?

Use academic, internship, or personal analytics projects to show practical BI capability. Build a small portfolio with SQL queries, a Power BI or Tableau dashboard, and a short explanation of the business question, dataset, and insights. If you have used Excel, Python, or databases in another role, frame that work around reporting, data cleaning, and decision support.

Should a Business Intelligence Analyst CV include dashboard links?

Yes, if the dashboards are public, anonymised, and easy to access. Add a portfolio link near your contact details or within a projects section, and briefly state the tools used, such as Power BI, Tableau Public, Looker Studio, or SQL. Never share confidential employer data or screenshots containing customer, revenue, or internal operational details.

What projects should I include on a Business Intelligence Analyst CV?

Prioritise projects that show end-to-end BI work: gathering stakeholder requirements, querying source data, building a data model, creating dashboards, and validating results. Strong examples include sales performance reporting, customer churn analysis, inventory monitoring, finance variance dashboards, and executive KPI scorecards. Add context about the users, refresh cadence, and decisions supported by the report.

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