Act as a strategic analytics and data partner across digital acquisition, service operations, and AI-driven lifecycle engagement, helping bolt build a unified, real-time, customer- and partner-centered view of the consumer journey.

Specifically, you will:

• Analyze end‑to‑end customer journeys across digital interactions, call center touchpoints, and follow‑through actions, identifying friction, drop‑offs, and AI‑driven efficiency gains
• Partner with Product, Marketing, Engineering, and Data teams to build a 360‑degree, identity‑resolved view of the consumer experience
• Translate complex behavioral, operational, and performance data into insights that improve conversion, customer experience, and retention
• Help shape the data architecture and analytics foundation that powers both reporting and downstream activation (AI, SMS, email, outbound tools)
• Enable near real‑time data flows that support closed‑loop learning, where operational events trigger personalized actions and engagement outcomes inform future decisions
• Collaborate with cross-functional teams to ensure the successful delivery of initiatives across the product lifecycle
• Build dashboards, reports, and performance metrics to track key business outcomes

You will be responsible for…

• Helping design and deliver a single, trusted consumer data layer that powers multi‑view performance reporting (growth, lifecycle, service, and operations), segmentation and eligibility logic, and the activation of targeted audiences across AI, SMS, email, and outbound channels
• Supporting the design and instrumentation of near-real-time, two‑way data connections between bolt, marketing platforms, and AI‑driven outbound tools
• Supporting consent, eligibility, and regulatory considerations within segmentation logic
• Supporting identity resolution across touchpoints to tie actions back to a unique user across devices, channels, and systems
• Partnering with stakeholders to define key funnel metrics, audiences, and lifecycle signals
• Championing data quality, governance, and consistency across systems
• Analyzing digital funnel and inbound user behavior to understand where AI (e.g., enhanced IVR, automation, decisioning) is improving efficiency and experience

For you to be successful…

• Is highly analytical and comfortable working across behavioral, operational, and product datasets
• Understands how data architecture, analytics, and activation work together to drive real customer outcomes
• Can connect journey analysis, service operations, and digital funnels into a cohesive narrative
• Is detail-oriented and comfortable working in large and complex data sets
• Communicates complex insights clearly to both technical and non‑technical stakeholders
• Thrives in ambiguity and enjoys shaping foundations—not just reporting on top of them

Collaborative:

Build strong relationships across teams and foster alignment between business and technical stakeholders

Analytical Thinking:

Leverage data to inform decisions, identify trends, and solve complex problems

Communication:

Clearly articulate insights, requirements, and recommendations to diverse audiences

Ownership:

Take initiative and accountability for delivering high-quality work and driving outcomes

Adaptability:

Navigate ambiguity and thrive in a rapidly evolving, high-growth environment

You will require the following qualifications and skills

• 3–6+ years of experience as a Business Analyst, Product Analyst, or similar role in a SaaS, fintech, or insurtech environment
• Strong experience with data analysis tools (e.g., SQL, Excel, Power BI, Databricks, or similar tools)
• Experience writing business requirements, user stories, and functional documentation
• Familiarity with product development methodologies (Agile, Scrum)
• Experience working with digital funnel and journey analytics, platform or event‑based data models, and cross‑system integrations (APIs, martech, outbound tooling)
• Experience working with APIs, integrations, or platform-based products
• Strong problem-solving skills and attention to detail
• Bachelor’s degree in Computer Science, Economics, Data Analytics, Statistics, or a related field

• Are you interested in this position?

   

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