Product Analytics
Metrics that tell you what about your product is working, what isn't — and what's behind that.
What this includes
- A/B experimentation
- Adoption, engagement, & conversion
- Funnels & user paths
- Cohort & segmentation analysis
Currently booking new engagements
Analytics, Data Science, and Data Strategy:
Unlocking value from your data.
Hi. I'm Josh Wenk, a career Analytics and Data Science professional. I help organizations turn data into actionable insights, recommendations, and models that drive roadmaps, shape user experiences, inform strategic leadership decisions, and grow revenue.
I speak both business and tech. I help bridge the gap between the two, facilitating alignment and value delivery.
My goal is to leave you with something your team owns. If this sounds interesting, let's talk.
Data Science and Analytics: Product, Customer/User/Donor, and Revenue.
Industries/Sectors: Mission-driven (Healthcare, Education, etc) and for-profit (B2B SaaS, Retail, Hospitality, Banking, etc). Startups, scale-ups, and established enterprises.
Previously
ZoomInfo
Capital One
Hilton
Lidl US
Neustar
Curb
Tech
SQL
Python
R
Snowflake
Databricks
BigQuery
dbt
Hex
Tableau
Looker
What I do
Data Science and Analytics: Product, User, Revenue
I've worked across a number of industries, always with an Analytics, Data Science, and Data Strategy lens. That generally splits into six main areas.
Customer, Member, & Donor Analytics
Behavioral questions, pointed at whomever your org exists to serve.
What this includes
- Nonprofits: Donor/Member & Fundraising
- For-profits: Customer & Revenue
- Acquisition, retention, churn, & lifecycle
- Lifetime value, CAC, & lead scoring
- Segmentation & targeting
Data Science
Prediction and inference for the questions a descriptive answer can't close out.
What this includes
- Regression, clustering, & classification
- A/B experimentation & hypothesis testing
- Statistical / ML modeling
- Anomaly detection
- Forecasting & time-series analysis
Data Product & Strategy
Getting technical and non-technical stakeholders to one vision, one roadmap, and something that actually ships.
What this includes
- Working with Leadership to understand questions, goals, and pain-points — and with the Data team to get the right information in the right shape to solve for those.
- Data product vision & roadmaps
- Prototyping custom analytics solutions
- Data strategy & analytics maturity assessment
Dashboarding & Reporting
Reporting built around the decisions people actually make, not every field in the warehouse.
What this includes
- Executive & board reporting
- Self-serve dashboards for non-analysts
- Dashboard consolidation & cleanup
- Automated recurring reporting
Foundations
The layer everything else depends on. Defined, agreed on, standardized, tested — so the same question stops getting different answers.
What this includes
- Metric and KPI definitions
- Instrumentation/Telemetry
- Data quality, governance & observability
- Consistent single-version-of-the-truth reporting
Sound familiar?
How can I help?
Below are some common scenarios I am familiar navigating. If one or more of these resonates, let's talk.
Understanding your Product, Users, and Revenue
You want to understand what about your digital Product is working, what isn't — and leverage Experimentation to identify what might work even better.
You want to understand your User behavior more deeply — acquisition, engagement, spend, retention, churn. Propensity, segmentation, cohorting.
You want to understand your Revenue flow better — Channels, segmentation, funnels, timing.
You need a data detective who can dive deep and surface real insights, make recommendations, and get to root causes.
You want to not just describe what happened, but also predict what is likely to happen.
Data Team Effectiveness and Value
Stakeholder Alignment: Delivering value, not just tickets
Building trust with your stakeholders
Prioritization and workload management.
Documentation and knowledge sharing.
Reporting People Actually Use
You want to overhaul, improve, or create some dashboarding and alerting to monitor your key metrics and KPIs.
Board or exec reporting is a scramble every quarter, and you're ready to do something different.
You have dashboard and reporting sprawl and no clear read on what decision-makers are actually using.
You want a self-service dashboarding and reporting layer that fits your team.
Numbers You Can Trust
You need to define metrics and KPIs in a rigorous way, and are tired of the same number coming out differently depending on who you ask.
You're running a pile of queries by hand and have outgrown that approach.
Data quality is getting in the way of your analytics or AI enablement efforts.
Data Strategy
Working with Leadership to understand questions, goals, and pain-points — and with the Data team to get the right information in the right shape to solve for those.
You want an independent perspective on your current-state data and analytics set-up and processes — and strategy on how to evolve.
How to Engage
A few ways to bring me in
Some engagements are a standing thought partnership. Others are one hard question that needs answering.
Advisory
Guidance on strategy, tooling, and org design without me holding the keyboard.
Thought partnership
A standing sounding board, from someone who has seen successful (and not-so-successful) implementations.
Execution
Hands-on-keyboard as data analyst / data scientist.
Let's talk about your scenario
A 30-minute call to walk through what isn't adding up. No pitch deck, no obligation.
Prior clients
Organizations I've worked with
Nonprofit and commercial work.
Some engagements I can't name, but I'm happy to describe the shape of them.
Understood for All Nonprofit
The College Board Education
Humane Society of the United States Nonprofit
Alongside in-house analytics and data science roles at ZoomInfo, Capital One, Lidl US, Hilton, and Neustar — where the client list included Fortune 50 companies.
References
What it's like to work with me
As Head of Data at Understood, I valued Josh's keen abilities with Product Analytics, Insights and Recommendations, Data Strategy, Data Product prototyping, Experimentation, Metrics design, as well as Data Observability and Data Quality.
He has helped me understand the importance of keeping an equally close eye on the infrastructure, the data that flows through it, and the analytics to unlock the value chain for our internal customers.
Now Principal Data Solutions, Pickaxe Foundry
I had the pleasure of working with Josh during a period of rapid change. He led the development of key analytics pipelines and played a central role in defining product metrics that the team could trust. What I appreciated most was his ability to bridge conversations across product, data engineering, and software engineering, always thoughtful in approach, and clear in communication. He also helped us level up our practices around experimentation design and version control, raising the bar for how we worked.
Josh is the kind of person who makes the people and systems around him better.
Now AI & Analytics Product Leader, Aberdeen Advisors
Additional references available on request.
About
I'm a career data guy.
On the inside
Much of my career has been spent inside organizations rather than advising from outside them. So I know what it's like to inherit a dashboard nobody can maintain, be stuck with complaints about accuracy over which you have no direct control, and to be asked for a number by end of day that honestly takes a week to get right.
Consulting
I've done contract consulting through an Agency for mission-driven and for-profit organizations. I moved into consulting more formally at Neustar, where I worked with Fortune 50 clients. At nearly all perm roles I have had, I have also functioned as an internal consultant, helping teams and leadership solve business challenges with data-driven insights and recommendations.
On my own
In 2021 I started taking on clients as a solo consultant, focusing on product analytics, customer analytics, and data strategy. I have deep experience working with both mission-driven and for-profit organizations. I take on a small number of clients at a time.
Philosophy / Orientation
- First-principles design
- Begin with the end in mind
- Measure twice, cut once
Values
- Clarity, honesty, integrity
- Continuous improvement
- Pragmatism
10+ yrs
in Analytics
M.S. in Analytics
Georgia Tech
Washington, DC
remote-friendly
Get in touch
Tell me what isn't adding up.
A 30-minute call, no pitch deck. If I'm not the right fit, I'll do my best to point you to someone who is.