Job VC
BI Analyst
Technologies
Description
🚀 About Us
We’re building a next-generation iGaming platform where
data drives everything
—from player experience to risk management and growth.
We move fast, ship often, and rely heavily on
real-time insights, AI, and experimentation
. Now we’re looking for a
Senior BI Engineer
to take our data capabilities to the next level.
💡 The Role
This is a
high-ownership, hands-on role
where you’ll design and build the entire BI layer of the company.
You won’t just create dashboards—you’ll shape how we
understand players, optimize revenue, detect fraud, and scale intelligently
.
You’ll work across the stack:
Data pipelines
Data models
Tableau dashboards
AI-driven insights
Privacy-first analytics (MPC)
🧠 What You’ll Own
📊 Tableau & BI (Your Core Playground)
Build and scale
Tableau dashboards people actually use
Own everything from
data modeling → visualization → performance
Create dashboards for:
Player behavior & retention
LTV & segmentation
Bonus / promo performance
Fraud & risk signals
Push Tableau to its limits (LOD, APIs, embedded analytics, RLS)
🔗 Data Integration (Messy → Clean → Powerful)
Bring together data from everywhere:
Gaming engines
Payments
CRM & marketing tools
Build robust
ETL/ELT pipelines
Create clean, scalable
data models
that analysts love
🤖 AI-Driven Insights
Work closely with data science to:
Put
ML models into production dashboards
Surface predictions (churn, LTV, risk)
Experiment with:
Automated insights
Natural language querying
Real-time anomaly detection
🔐 Privacy & MPC (Where It Gets Interesting)
Help us implement
privacy-first analytics
Work with
Multi-Party Computation (MPC)
and secure data sharing
Enable insights across partners without exposing raw data
🤝 Work Across the Company
Partner with:
Backend engineers (data pipelines, APIs)
Frontend/product teams (tracking, features)
BI analysts (insights & reporting)
Turn messy business questions into
clean, scalable data solutions
⚙️ Build It Right
Set standards for:
Data quality
Dashboard performance
BI best practices
Introduce versioning, testing, CI/CD for BI if it’s missing
🛠️ What You Bring
Must-Have
5+ years in BI / Data / Analytics Engineering
Deep
Tableau expertise
(not just charts—architecture & performance)
Strong SQL + solid data modeling skills
Experience working with
multiple messy data sources
Python (or similar) for data work
Experience with cloud data warehouses (Snowflake / BigQuery / Redshift)
Big Bonus Points
iGaming / betting / high-scale transactional experience
Experience embedding
ML into BI
Exposure to
privacy tech / MPC
Familiarity with modern data stack (dbt, Airflow, etc.)
Real-time data experience
🧠 How You Work
You take ownership—no waiting for perfect specs
You care about impact, not just output
You can talk to engineers
and
business stakeholders
You simplify complexity and make data usable
🎯 What You’ll Impact
Faster, better decisions across the company
Improved player retention & revenue
Smarter fraud detection
A BI stack that actually scales
🎁 What You Get
Real ownership (you’ll shape the BI function)
Work on
AI + modern data stack + privacy tech
Fast-moving, no-bureaucracy environment
Competitive salary + flexibility
🎲 Why This Role is Different
Most BI roles stop at dashboards.
This one doesn’t.
You’ll be building a
modern data brain for the company
—combining:
BI
Data engineering
AI
Privacy-first analytics
We’re building a next-generation iGaming platform where
data drives everything
—from player experience to risk management and growth.
We move fast, ship often, and rely heavily on
real-time insights, AI, and experimentation
. Now we’re looking for a
Senior BI Engineer
to take our data capabilities to the next level.
💡 The Role
This is a
high-ownership, hands-on role
where you’ll design and build the entire BI layer of the company.
You won’t just create dashboards—you’ll shape how we
understand players, optimize revenue, detect fraud, and scale intelligently
.
You’ll work across the stack:
Data pipelines
Data models
Tableau dashboards
AI-driven insights
Privacy-first analytics (MPC)
🧠 What You’ll Own
📊 Tableau & BI (Your Core Playground)
Build and scale
Tableau dashboards people actually use
Own everything from
data modeling → visualization → performance
Create dashboards for:
Player behavior & retention
LTV & segmentation
Bonus / promo performance
Fraud & risk signals
Push Tableau to its limits (LOD, APIs, embedded analytics, RLS)
🔗 Data Integration (Messy → Clean → Powerful)
Bring together data from everywhere:
Gaming engines
Payments
CRM & marketing tools
Build robust
ETL/ELT pipelines
Create clean, scalable
data models
that analysts love
🤖 AI-Driven Insights
Work closely with data science to:
Put
ML models into production dashboards
Surface predictions (churn, LTV, risk)
Experiment with:
Automated insights
Natural language querying
Real-time anomaly detection
🔐 Privacy & MPC (Where It Gets Interesting)
Help us implement
privacy-first analytics
Work with
Multi-Party Computation (MPC)
and secure data sharing
Enable insights across partners without exposing raw data
🤝 Work Across the Company
Partner with:
Backend engineers (data pipelines, APIs)
Frontend/product teams (tracking, features)
BI analysts (insights & reporting)
Turn messy business questions into
clean, scalable data solutions
⚙️ Build It Right
Set standards for:
Data quality
Dashboard performance
BI best practices
Introduce versioning, testing, CI/CD for BI if it’s missing
🛠️ What You Bring
Must-Have
5+ years in BI / Data / Analytics Engineering
Deep
Tableau expertise
(not just charts—architecture & performance)
Strong SQL + solid data modeling skills
Experience working with
multiple messy data sources
Python (or similar) for data work
Experience with cloud data warehouses (Snowflake / BigQuery / Redshift)
Big Bonus Points
iGaming / betting / high-scale transactional experience
Experience embedding
ML into BI
Exposure to
privacy tech / MPC
Familiarity with modern data stack (dbt, Airflow, etc.)
Real-time data experience
🧠 How You Work
You take ownership—no waiting for perfect specs
You care about impact, not just output
You can talk to engineers
and
business stakeholders
You simplify complexity and make data usable
🎯 What You’ll Impact
Faster, better decisions across the company
Improved player retention & revenue
Smarter fraud detection
A BI stack that actually scales
🎁 What You Get
Real ownership (you’ll shape the BI function)
Work on
AI + modern data stack + privacy tech
Fast-moving, no-bureaucracy environment
Competitive salary + flexibility
🎲 Why This Role is Different
Most BI roles stop at dashboards.
This one doesn’t.
You’ll be building a
modern data brain for the company
—combining:
BI
Data engineering
AI
Privacy-first analytics