Main purpose of role
The Business Intelligence Analyst is responsible for transforming complex data into actionable insights that support client-facing strategic decision-making and operational efficiency. This role ensures accurate client-facing analytics, maintains analytical tools, and drives data-driven improvements across client and internal initiatives.
Key responsibilities
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Collaborate with program management office to ensure the accurate and timely production of monthly, quarterly, and annual client reports.
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Complete complex ad-hoc reports to support client requests.
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Learn and apply effective use of Vendor Management Systems (VMS) such as Fieldglass, Beeline, VNDLY, and Coupa, including report preparation and data utilization.
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Analyze data from multiple sources to deliver meaningful insights, recommendations, and conclusions that drive client’s business decisions.
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Maintain and update team tools and documentation to ensure consistency and accuracy of information.
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Stay informed on industry trends and customer benchmarks to provide relevant analysis on a quarterly basis within assigned verticals.
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Design and enhance client-facing Power BI dashboards using API integrations to improve data visualization and accessibility.
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Manage and update client-facing Microsoft Power Pages to ensure current and accurate content.
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Design and implement automation for client production reports and related workflows to reduce manual effort.
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Create rate cards for new clients
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Run market rate analysis requests
Skills required for the role
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Power BI expertise
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SQL and/or Python proficiency
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Data visualization capabilities
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Analytical and critical thinking
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Attention to detail and accuracy
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Advanced Excel skills
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Organizational and problem-solving skills
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Time management
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Data gathering from various sources
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Team collaboration
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Verbal, written, and presentation skills
Educational Requirements
- Bachelor’s Degree in Business Analytics, Data Science, Computer Science, Information Systems, Statistics or Mathematics
Experience
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Minimum of 3 years of experience in business intelligence, data analysis, or market research roles.
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Proven hands-on experience with Power BI and SQL for data visualization and querying.
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Familiarity with data warehouse technologies, data modeling concepts, and working with diverse data sources and APIs.
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Preferred - At least 2 years of experience working with relational and multidimensional database schemas, including writing complex queries.
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