AI & Business Intelligence Lead

Build the intelligence layer behind our business.

We’re looking for an AI & Business Intelligence Lead to transform how we use data across the company.

This is not a traditional Data Analyst role.

We want someone who is exceptional with AI — particularly Claude — and knows how to combine AI, data, dashboards, automation and business thinking to give leadership a real-time understanding of what is happening across the company.

You’ll take data that currently lives across spreadsheets, marketing platforms, e-commerce systems, finance, CRM, operations and other tools and turn it into live dashboards, automated reporting and actionable business intelligence.

The ultimate goal is simple:

At any moment, leadership should be able to understand:

What happened?

Why did it happen?

What needs our attention?

What should we do next?

What You'll Do

Build our company-wide intelligence system

Create a centralized reporting ecosystem covering areas including:

• Revenue & profitability
• Marketing performance
• CAC, ROAS, MER and LTV
• Conversion funnels
• Landing page performance
• Customer acquisition
• Retention & subscriptions
• Sales
• Finance
• Customer experience
• Operations
• Inventory
• Product performance

You'll work with leadership and individual departments to determine the KPIs that actually matter and how they should be measured.

Build live dashboards

Turn fragmented data into clear, easy-to-understand dashboards using tools such as:

• Google Looker Studio
• Google Sheets / Excel
• AI-generated dashboards and artifacts
• Internal web dashboards
• BI and visualization platforms

You should know how to take something currently being tracked manually in five different spreadsheets and turn it into one reliable source of truth.

Use AI to build faster

You should be highly proficient with Claude and modern AI tools.

We want someone who uses AI every day to:

• Build dashboards and internal tools
• Analyze large datasets
• Write and debug code
• Create reporting workflows
• Generate SQL
• Connect data sources
• Automate repetitive analysis
• Identify anomalies and trends
• Generate executive summaries
• Prototype new internal applications

If you still approach every analytics problem the same way you did before generative AI, this probably isn't the right role.

Connect our data

You'll help automate the movement of data between systems.

Depending on the project, that could mean working with:

• APIs
• SQL
• Google Sheets
• Excel
• Databases
• Webhooks
• Data connectors
• ETL tools
• E-commerce platforms
• Advertising platforms
• CRM systems
• Finance systems

You don't necessarily need to be a full-time Data Engineer, but you should be technical enough to figure out how to get data from Point A to Point B reliably.

Turn data into decisions

Building dashboards is only half the job.

We want someone who can interpret what the data is telling us.

Instead of simply reporting:

"Conversion rate decreased from 4.2% to 3.6%."

We want you to investigate why.

Was it traffic quality?

A specific advertising channel?

A new landing page?

Mobile conversion?

Checkout abandonment?

A pricing change?

A particular country?

Then communicate the answer clearly to leadership.

Build AI-powered executive reporting

We want to eventually automate much of our company reporting.

For example, leadership should receive a weekly report explaining:

WHAT HAPPENED

The biggest changes across the business.

WHY IT HAPPENED

The drivers behind those changes.

WHAT NEEDS ATTENTION

Anomalies, risks and opportunities.

WHAT WE SHOULD DO

Specific recommended actions based on the data.

Your job will be to help build the data infrastructure and AI workflows that make this possible.

What We're Looking For

You are probably someone who sits somewhere between:

Business Intelligence + Data Analytics + AI + Automation +