AI & Business Intelligence Lead

Hume Health; India; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Hume Health is seeking an AI & Business Intelligence Lead to transform how we use data across the company. You will turn data from spreadsheets, marketing platforms, ecommerce, finance, CRM and operations into live dashboards and automated reports.

You will work with leadership to define KPIs, build centralized reporting, and leverage Claude and modern AI tools to automate analysis, identify trends, and present actionable insights. The role blends AI, analytics, and business strategy.

Qualifications

• Strong expertise in AI and analytics to build a BI layer across the company.
• Experience turning scattered data into dashboards and automated reports.
• Ability to use Claude or similar AI tools to drive insights.
• Proficiency in SQL and automating analyses for leadership-friendly outputs.
• Ability to translate business needs into KPI definitions and actionable insights.

Responsibilities

• Create a centralized reporting ecosystem covering revenue, marketing, CAC, ROAS, MER and LTV.
• Translate fragmented data sources into live dashboards and automated reporting.
• Define KPIs with leadership and ensure consistent measurement across departments.
• Build AI-powered executive reporting and automate weekly leadership updates.
• Operate with APIs, SQL, Looker Studio, spreadsheets, and other data sources to move data reliably.

Skills

AI

Looker Studio

SQL

Python

APIs

Excel

Google Sheets

Data visualization

Business analytics

AI workflows

AI prompting

AI-assisted coding

Job description

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

Create a centralized reporting ecosystem covering areas including:

• Revenue & profitability
• Marketing performance
• CAC, ROAS, MER and LTV
• Customer acquisition
• Retention & subscriptions
• Finance
• Operations
• Product performance

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

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

• Google Looker Studio
• Google Sheets / Excel
• AI-generated dashboards and artifacts
• 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
• Write and debug code
• Generate SQL
• Automate repetitive analysis
• Identify anomalies and trends
• 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.

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
• 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.

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?

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 + Business Strategy.

You should be strong in several of the following:

• Advanced AI prompting and workflows
• Excel
• Google Sheets
• Looker Studio
• SQL
• APIs
• Business analytics
• AI-assisted coding
• Python

But technical skills alone aren't enough.

You need to understand business.

You should be comfortable analyzing metrics like:

CAC, LTV, ROAS, MER, AOV, conversion rate, retention, churn, gross margin, contribution margin, revenue growth and profitability.

Most importantly, you need to be extremely resourceful.

We want someone who can be given a messy business problem and figure out how to solve it.

You’re Probably a Great Fit If...

You use Claude or other advanced AI tools constantly and believe AI has fundamentally changed how analytics and business intelligence should be done.

You love taking messy spreadsheets and turning them into something structured and useful.

You can build things yourself instead of constantly needing engineering resources.

You naturally ask "Why?" when you see a number change.

You can move between technical work and commercial thinking.

You can explain complicated data in a way that a CEO can understand in 60 seconds.

And when someone says:

"I wish we had a dashboard that could show us..."

Your instinct is:

"I can probably build that."

Example Project

As part of the interview process, we may give you several messy datasets representing different areas of a business.

Your challenge will be to use Claude and whatever tools you think are appropriate to turn the data into:

• Automated KPI reporting
• An executive summary of the business
• Identification of important trends or anomalies
• Recommendations for what leadership should do next

We care less about which tools you use and more about how quickly and intelligently you can turn raw information into something useful.

What Success Looks Like

Within your first few months, leadership should be able to open one place and understand the health of the entire business.

Over time, we want to build an internal AI-powered business intelligence layer that continuously analyzes the company and helps us make faster, better decisions.

You’ll be the person responsible for helping us build it.