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Analytics Solutions Associate, Senior Associate - Branch Channel Analytics

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: 慨正橡扯
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

JOB DESCRIPTION

As an Analytics Solutions Associate on the Branch Channel Analytics team you will combine strategic thinking with strong delivery execution and be motivated to use AI/ML and analytics to drive measurable sales impact
. In this role, you will shape the analytics strategy and own end‑to‑end delivery from problem framing and solution design through testing, implementation, and performance measurement. You'll build and deploy analytics‑and‑AI‑driven capabilities that improve how branch teams prioritize opportunities, run their day‑to‑day workflows, and sell effectively. You will partner closely with Product, Engineering, Data Science, HR, and business leaders to translate complex insights into practical, scalable solutions that integrate into frontline workflows and drive adoption.

This role is well‑suited for someone who enjoys bridging strategy and execution, thrives in a fast‑paced environment, and is energized by taking ideas from concept to production with clear business outcomes.

Job Responsibilities
  • Own the end‑to‑end design and delivery of analytics and AI/ML solutions that drive measurable value for Sales.
  • Translate business problems into clear hypotheses, requirements, and prioritized roadmaps across strategic initiatives.
  • Client engagement: develop personalization and next‑best‑action insights to improve how teams engage clients.
  • Branch staffing & headcount: build staffing/capacity analytics and AI/ML‑enabled planning recommendations.
  • Sales coaching & enablement: help deliver intelligent coaching tools (e.g., AI‑powered assistants/chatbots) and adoption plans.
  • Partner with stakeholders across Sales, Product, Tech, and Data to identify opportunities and align on success metrics.
  • Build robust data foundations and analytical artifacts (datasets, dashboards, models, experiments) with strong governance.
  • Use testing and measurement (A/B tests, pilots, KPI tracking) to quantify impact and iterate quickly.
  • Integrate solutions into human‑centric workflows, ensuring usability and change management for frontline teams.
  • Communicate insights clearly to senior leaders; drive alignment across teams with different priorities and timelines.
  • Operate effectively in a fast‑paced environment, demonstrating strong analytical judgment and ownership.
Required
  • Experience: 4+ years in analytics, business strategy, sales, or a related discipline.
  • Education: Bachelor’s degree in business, data/analytics, technology, or a related field.
  • Strategy & roadmap: Build and maintain a multi‑year analytics roadmap and testing/measurement strategy to improve customer experience, drive sales results, and optimize client opportunity.
  • Problem solving: Apply structured, strategic thinking to deliver practical, analytics‑driven solutions that augment human decision‑making and produce measurable outcomes.
  • Communication: Clearly communicate and visualize complex concepts in writing and verbally for both technical and non‑technical audiences.
  • Execution & prioritization: Manage multiple concurrent initiatives, prioritize effectively, and adapt quickly as needs change.
  • Program leadership: Lead cross‑functional delivery in ambiguous, fast‑moving environments; build strong partnerships with Product and Sales to drive analytics‑led change.
  • AI delivery: Design and implement AI solutions that emphasize user experience, integrate into human‑centric workflows, and deliver measurable business impact.
  • Stakeholder influence: Influence senior stakeholders with crisp recommendations, effective visualizations, and tailored narratives.
  • Alignment: Align interdependent priorities across stakeholder groups to deliver integrated solutions tied to customer and business outcomes.
  • Data rigor: Champion data quality, documentation, and analytical rigor across deliverables and decision processes.
  • Tools: Advanced proficiency in Microsoft PowerPoint, Excel, and Word; strong proficiency using LLMs and Copilot to improve productivity and day‑to‑day processes.
Preferred
  • Experience working with sales, product, data and analytic organizations.
  • Working knowledge of how Machine Learning and AI techniques can enhance forecasting, optimization, or decisioning workflows.
  • Familiari…
Position Requirements
10+ Years work experience
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