Insight & Analytics Strategist

About this role

Who We Are

Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform, the first of its kind.

At Digible, we take pride in our collaborative, transparent, and authentic culture. Since 2021, we've been recognized as a Top Workplace in Colorado and secured the #8 spot in the Best Places to Work Multifamily rankings. From our hiring process to our All Hands meetings and Town Halls, our values are at the core of everything we do.

We believe diversity fuels innovation, and we strive to create an inclusive environment where everyone can bring their authentic selves to work. If you're ready to do the best work of your career, we'd love to have you on the team!

Core Values

• Authenticity. The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.

• Curiosity. The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution.

• Focus. The collective will to remain completely devoted and ultimately accountable to our deliverables.

• Humility. The recognition and daily practice that "we" is always greater than "I".

• Happiness. The decision to prioritize passion and love for what we do above everything else.

The Role

Digible is looking for an Insights & Analytics Strategist to join our Data team.

Our Data team owns the governed semantic layer, the Silver and Gold data models, and the trusted metric definitions that the rest of Digible builds on. This role sits next to that foundation but faces outward. It closes the gap between the data we already collect and the decisions our agency teams make every day for our roughly 1,000 multifamily clients.

You'll dig into data sources that aren't being used well today, turn them into client and business insight, and work directly with our Agency Solutions team to put that insight into action on real client accounts. This isn't a dashboard-building role, and it isn't a pure data engineering role either. Think of it as the connective tissue between the two: you take the semantic layer's trusted foundation, add in data nobody has operationalized yet, and put both to work alongside the agency. We'll measure your success by the decisions and outcomes you influence on client accounts, not just the reports you hand off.

You'll report to our Director of Data and partner most closely with our Director of Agency Solutions, sitting within a roughly 20-person technology department. You'll also work with Analytics Engineering on data foundations and Data Science when a question needs deeper modeling.

You'll Love This Job If You:

• Embrace Digible's core values: authenticity, curiosity, focus, humility, and happiness

• Enjoy turning a pile of underused data (call recordings, CRM activity, client financials) into a clear, defensible insight

• Care as much about driving action as about being right. You're not satisfied until the insight changes what someone does

• Like being embedded with a business team, understanding their goals well enough to see their next question coming

• Move easily between analysis, storytelling, and stakeholder conversations

• Don't mind taking a manual, one-off analysis and turning it into a repeatable pipeline or report

• Already use AI tools as a normal part of how you explore, synthesize, and communicate

• Are comfortable in ambiguity and don't need someone else to define your scope for you

• Bring a customer-first mentality and genuine curiosity to your work

• Want the impact of your work to show up in a client outcome, not just a delivered report

What You'll Do:

• 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

How Success Will Be Measured:

• First 90 days: A subset of customer analytics data operationalized into at least one repeatable analysis, and a first client insight delivered and acted on by the agency team

• Days 90 to 180: A small portfolio of insight-to-action wins tied to specific client accounts, with outcomes tracked, and clear handoff patterns established with Analytics Engineering for anything that should graduate into the governed semantic layer

• Ongoing: A growing, attributable track record of insights that changed what the agency did on a client account, not just insights that were delivered

What You Should Have:

• 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 o

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