Analytics Lead

The Directions Group

$95K — $115K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in market research, insights, analytics, strategy, or marketing.
  • Experience in healthcare, restaurant, food, retail, or CPG sectors; tobacco openness a plus.
  • Proven ownership of analytics in client-facing roles.
  • Exceptional communication and storytelling skills with a consultative approach.
  • Strong knowledge of quantitative research methods and multi-source data integration.
  • Proficient in Excel, visualization tools, and AI-driven data prep.
  • Ability to manage multiple projects under tight deadlines.

Responsibilities

  • Lead analytic planning and execution to deliver clear insights.
  • Transform complex data into actionable narratives and recommendations.
  • Collaborate with Client Relationship and Intelligence Leads on client deliverables.
  • Design modern, AI-enabled analytic approaches using diverse data sources.
  • Create engaging visualizations that support client understanding and decision-making.
  • Mentor and guide team members on analytics best practices.
  • Assist in shaping client experiences to ensure comprehensive business solutions.

Benefits

  • Remote or hybrid work options from anywhere in the US.
  • Collaboration in a dynamic, client-focused team environment.
  • Opportunity to shape impactful narratives in notable industries.
  • Access to cutting-edge AI tools for data analysis and visualization.
Full Job Description
Client Service - Analytics Lead The Directions Group | Strategic Insights Firm

Location: Cincinnati, OH (Hybrid) or Remote (US)

Every client-facing pod at The Directions Group is built around four distinct yet tightly connected roles, all operating with shared ownership for client success and intelligence quality.
  • Analytics Lead (AL): Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative.
  • Client Relationship Lead (CRL): Owns the client business relationship from first conversation through final delivery, ensuring every engagement is designed around what the client truly needs - not just what was initially requested.
  • Intelligence Lead (IL): Acts as the synthesis and storytelling engine, integrating findings across methods and projects to create an integrated intelligence story that makes the "so what / now what" unmistakably clear.
  • Logistics Lead (LL): Functions as the operational backbone, orchestrating timelines, partners, and workflows so work happens at the right time, in the right way, with the right quality.

Pods operate with flexibility, so while each person leads from their lane, team members may periodically flex into adjacent responsibilities to maintain a seamless client experience.

As an Analytics Lead, you will be the hands-on insights partner who turns data into clear, actionable stories and "now what" recommendations. You will design and lead modern, AI-enabled analytic approaches, connect multiple data sources, and partner closely with Intelligence and Client Relationship Leads to shape client-ready narratives.

You'll thrive in this role if you have:
  • At least 5 years of experience in market research, insights, analytics, strategy, marketing, or a related field.
  • Relevant category experience in healthcare, restaurant, food, retail, and/or CPG is helpful, along with openness to working in the tobacco industry.
  • Track record owning day-to-day analytics on projects and playing an active role in client-facing deliverables and discussions.
  • Strong communicator and natural storyteller who enjoys client interaction, asks smart questions in the moment, and brings an emerging consultative presence that challenges constructively and thinks like an owner of the business problem.
  • Fluency with core research methods including strong command of quantitative methods (tracking, segmentation, concept/product tests, and selected advanced techniques) and comfort working across multiple data sources.
  • Proficiency in Excel, dashboards or crosstab tools, and presentation platforms, plus curiosity and aptitude for AI-enabled tools for data prep, text analytics, and visualization.
  • Growth mindset, critical thinking, and the ability to operate calmly and effectively across multiple projects in a fast-moving environment.

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