Responsibilities

• Operationalize Customer Analytics data. Build the pipeline and analysis to turn call and meeting intelligence into structured signal the agency can act on, closing today's biggest analytical blind spot
• Deliver client and account insight that goes beyond financial performance: client segmentation, health signals, and account-level narrative that support client dossiers and QBR prep
• Work embedded in agency workflows, close enough to Agency Solutions and account teams to understand their open questions, turning ad hoc requests into recurring, trustworthy analysis
• Turn insight into action. Don't stop at the finding; work with agency partners to define the recommended action, track whether it was taken, and follow up on the outcome
• Build analytics products that give account teams and clients a shared view of account health
• Be a bridge to the governed semantic layer by pulling from and helping extend the Analytics Engineering team's trusted metric definitions, rather than building parallel, ungoverned ones. Flag gaps back to that team instead of working around them
• Prove out ROI early. As a new, cross-functional role, you'll need a track record of concrete, attributable wins that justify continued investment

Requirements

• 4+ years of experience in an analytics, insights, or analytics-engineering role, ideally with direct exposure to a client-facing or agency/consulting environment
• Strong SQL skills and comfort querying a modern cloud warehouse (we use Snowflake) to go from raw data to insight on your own
• Experience turning unstructured or semi-structured data (call transcripts, CRM notes, support tickets) into structured, analyzable signal
• A track record of working directly with non-technical stakeholders: shaping a question, delivering an answer, and following through to action
• Comfort with BI and reporting tools for both client-facing and internal analysis
• Strong storytelling and written and verbal communication skills. You can make a data point land in a client or leadership conversation
• Real fluency with AI-assisted tools in your analytical workflow, not just occasional use
• A bias toward iterative, value-focused delivery. You'd rather ship a rough answer this week than a perfect one next quarter
• Comfort operating with real ambiguity in a role that is still being defined
• Comfort working without a Tech Lead or EM buffering your day-to-day technical direction. This is a standalone seat, not one embedded in an engineering pod

Preferred

• Experience in a digital marketing agency, multifamily/real estate, or other client-services environment
• Experience with conversation intelligence tools (Gong, Chorus, or similar) and turning them into structured analytics
• Experience building client segmentation or account health scoring models
• Familiarity with dbt, MetricFlow, or other semantic-layer tooling, even if you won't own it in this role
• Experience navigating a dotted-line or matrixed reporting structure without losing momentum

Benefits

• 4-Day Work Week (32 Hour Work Week)
• WFA (Work From Anywhere)
• Discretionary Bonus
• We offer 3 weeks of PTO as well as Sick leave, and Bereavement
• We offer 11 paid holidays! (not counting ones that fall on Friday!)
• 401(k) + Match
• 75% Employer Paid Health Benefits (Medical, Dental, and Vision)
• Mental and Physical Wellness Reimbursement Benefit ($75/mo each)
• $1,000/year travel fund for employees who have been with Digible 3+ years
• Paid Parental Leave