Insight & Analytics Strategist

Digible, Inc

Insights strategist operationalizing multifamily client data into analytics, segmentation, and account-health insights at Digible. Partnering with agency teams to turn findings into measurable client actions and outcomes.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $125,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Customer Analytics by building data pipelines and analyses that convert call and meeting intelligence into actionable insights. Proficient in SQL and BI tools, with a strong ability to communicate findings effectively to both technical and non-technical stakeholders.

Highest-signal resume keywords

SQL SkillsAnalytics EngineeringBI Tools ProficiencyData StorytellingAI-Assisted Analytical Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisData Pipeline DevelopmentData StructuringAnalytics Product DevelopmentCloud Warehouse QueryingMetrics DefinitionROI MeasurementClient Insights GenerationSegmentation Analysis

Soft Skills

Communication SkillsStorytellingCollaborationAdaptabilityIndependent Work

Tools & Technologies

SnowflakeBI ToolsAnalytics Engineering ToolsAI Tools

Industry Keywords

Customer AnalyticsAccount HealthQBR PreparationAd Hoc AnalysisStakeholder Engagement

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Operationalize Customer Analytics data by building pipelines and analyses that turn call and meeting intelligence into structured signals
Deliver client and account insights, including segmentation, health signals, and account-level narratives for client dossiers and QBR preparation
Work within agency workflows to turn ad hoc requests into recurring, trustworthy analyses
Partner with agency teams to define recommended actions, track adoption, and follow up on outcomes
Build analytics products providing account teams and clients with a shared view of account health
Pull from and help extend governed semantic-layer metric definitions, flagging gaps to Analytics Engineering
Prove out ROI through concrete, attributable wins in this cross-functional role
Collaborate with the Director of Data, Director of Agency Solutions, Analytics Engineering, and Data Science

Requirements

What you’ll need

4+ years of experience in an analytics, insights, or analytics-engineering role
Strong SQL skills and ability to query a modern cloud warehouse, particularly Snowflake
Experience converting unstructured or semi-structured data into structured, analyzable signals
Experience working directly with non-technical stakeholders from question definition through action
Comfort with BI and reporting tools for client-facing and internal analysis
Strong storytelling and written and verbal communication skills
Real fluency with AI-assisted tools in analytical workflows
Bias toward iterative, value-focused delivery
Comfort operating with ambiguity in a role still being defined
Ability to work independently without a Tech Lead or EM providing day-to-day technical direction
Candidates must be located within the United States
Must be able to sit at a desk and work on a computer for prolonged periods
Must be able to lift up to 15 pounds at times
Professional references may be requested during the hiring process

Benefits

Comp & perks

4-Day Work Week (32 Hour Work Week)
WFA (Work From Anywhere)
Discretionary Bonus
3 weeks of PTO
Sick leave
Bereavement leave
11 paid holidays
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
Dog-Friendly Office
Monthly Social Events
Weekly lunches and snacks for in office employees!