Threat Intelligence Specialist

• Manage end-to-end external data process (ETL) for assigned accounts as follows: Data acquisition: Collaborate with customer accounts to obtain periodic data on agreed schedule, and verify data is in loadable/usable format
• Data Staging: Ensure data is properly staged, resolving load errors and verifying completeness; Work with internal partners to maintain accurate data cleansing (material and account cross referencing)
• Data Loading: Confirm data is loaded into all analytics and reporting systems
• Issue Resolution: Work with internal partners and customers directly to resolve data issues
• Process Improvement: Collaborate with internal partners and customers to identify and execute improvement initiatives and projects. Examples include (but are not limited to) optimization of load timing, improved data cleansing, and process documentation.
• Complete regular mass validations during critical period ends to ensure data accuracy / consistency
• Integrate new accounts as assigned
• Act as subject matter expert for external data, interfacing with Analytics, Finance, Operations and Sales teams as needed
• Work through conflicting issues, roadblocks and dependencies; proactively manage risks, changes, and communication with project stakeholders.
• Flex to big picture strategic view as required.

Commercial Market Intelligence Analyst

• **Key Responsibilities:**
• - Develop, validate, and maintain predictive models including lead scoring, conversion propensity, and funnel optimization
• - Develop tiering models to prioritize leads by conversion probability
• - Build forecasting frameworks for lead volume, conversion rates, and pipeline or revenue projections
• - Build channel performance models to optimize budget allocation across paid search, email, ISO partners, etc.
• - Monitor model performance and iterate to improve accuracy and business impact
• - Develop models to evaluate and prioritize markets based on expected performance and ROI
• - Analyze geographic, industry, and segment-level trends to identify growth opportunities
• - Support data-driven recommendations on market targeting and resource allocation
• - Support campaigns/future product launches by forecasting lead volume, conversion rates, and CAC by channel
• - Design and analyze experiments (A/B testing, cohort analysis) and evaluate incremental impact
• - Apply statistical and machine learning techniques to solve marketing and business problems
• - Conduct deep-dive analyses to support strategic and operational decisions
• - Contribute to internal data science and modeling initiatives, including proprietary or internal IP work
• - Collaborate with Data Engineering to structure and prepare datasets for modeling
• - Partner with BI and analytics teams to ensure model outputs are integrated into reporting and usable by stakeholders

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Commercial Market Intelligence Analyst

Marketing Intelligence Analyst