Business Intel Specialist I

This role focuses on standardizing and scaling analytics outputs, including Quarterly Business Reviews (QBRs), performance monitoring, and campaign support, while also enabling iterative analysis workflows that keep clients engaged and uncover additional revenue opportunities.

The position works closely with Analytic Consultants to transform data into repeatable, high-impact insights, while maintaining the technical capability to independently build solutions within cloud-based analytics environments (e.g., Azure, Databricks).

Key Responsibilities:

1. Scalable Business Review Insight Development (Core Focus)

• Design and deliverstandardized QBR (Quarterly Business Review) analytics packages across clients, including:

  • Trended performance analysis

  • Peer and portfolio benchmarking (where available)

  • Cross-sell and expansion opportunity identification

• Build reusable frameworks that enableconsistent, high-quality QBR outputs across teams and industries

• Translate analytical findings intoclear, structured insights that support ongoing client engagement

2. Iterative Performance Analysis & Sales Opportunity Development

• Develop workflows to supportongoing performance monitoring and iterative insight generation

• Identify opportunities tore-engage clients through updated analysis, including:

  • “Second look” evaluations

  • Incremental performance improvements

  • Post-sale optimization insights

• Support evolving solution positioning, particularly forIdentity Intelligence, through continuous performance evaluation

3. Campaign & Pre-Sales Analytics Enablement

• Support proactive campaigns (e.g., Fraud, Credit Risk, Identity Intelligence) by:

  • Building reusable analytical frameworks

  • Delivering structured insight packages aligned to campaign objectives

• Enable Analytic Consultants to move faster frominsight → engagement → proof of concept

4. Insight Standardization & Reuse

• Identify repeatable analytical use cases across:

  • QBRs

  • Retro analyses

  • Campaigns

• Convert these intoscalable templates and reusable analytics assets, reducing one-off work and improving delivery speed

Required Qualifications

• Bachelor’s degree in Data Analytics, Business Analytics, Computer Science, Statistics, Mathematics, or related field.

• Minimum of 2 years of experience in analytics, business intelligence, or related roles

• Strong proficiency with Python or similar programming language preferred

• Experience delivering data visualizations that drive improved business decisions

• Strong written and verbal communication skills in English

• Ability to work independently and manage multiple priorities.

• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives

Preferred Qualifications

• Experience with cloud-based analytics platforms (Azure) and Databricks

• Experience buildingrepeatable analytics workflows and scalable data solutions

• Familiarity with:

  • Performance analysis (trend, segmentation, benchmarking)

  • Experimental testing or comparative analysis

• Experience in financial services, fraud, credit risk, or identity analytics

• Experience working with large, complex datasets









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