AI Business Analyst
hace 2 semanas
About HeyDiga
HeyDiga
helps local businesses never miss a customer again. Our AI-powered virtual receptionist answers calls and WhatsApp messages 24/7, quotes services, books appointments, and solves issues — instantly, and in natural language.
We've launched our first verticals (beauty, automotive, restaurants….) and are growing fast. As we scale, we need someone to
analyze
,
monitor
, and
improve
how our AI interacts with real customers — and help us make better decisions across operations, product, and support.
What We're Looking For
We're looking for a
data-driven, structured thinker
who loves turning real-world usage into insights and improvements. This role is ideal for someone early in their career who's interested in AI, operations, and product — and wants to learn across functions in a fast-paced startup.
You'll work directly with the founding team, product leads, and operations, and support all business units by analyzing user interactions, identifying operational patterns, and helping us deliver more reliable, efficient AI-powered experiences.
Ideal Profile
- Background in
engineering, mathematics, data, or business
with strong analytical skills. - Curious about how AI products operate "under the hood".
- Excellent written communication
— able to document observations clearly and concisely. - Strong attention to detail and
bias for action
. - Comfortable working independently and switching contexts (product, ops, sales, QA).
- Power user of tools like
Notion, Excel, Airtable, ChatGPT
, and eager to learn tools like
Looker Studio, Zapier, or SQL
.
Key Responsibilities
1. Monitor AI-Handled Calls and Identify Opportunities
Analyze
call transcripts and summaries
to spot trends, recurring issues, or optimization points.
- Detect edge cases, prompt failures, or areas for improvement in
TTS/STT and LLM responses
. - Report insights that improve
product reliability, quote accuracy, and customer experience
.
2. Support Operations Across the Business
Track operational KPIs:
calls handled, booking success rate, conversion rates
, etc.
- Collaborate with support and product teams to surface
relevant insights or blockers
. - Help prioritize fixes and improvements based on
real-world data
.
3. QA & Internal Knowledge Contribution
Conduct structured
QA sessions
on new voice flows, verticals, or prompt variants.
- Contribute to internal documentation (Notion) and process improvements.
- Assist in building tools or dashboards to better monitor live operations.
4. Cross-Team Support and Ownership
Support
sales, onboarding, customer success, product, and growth
with data and insights.
- Jump into one-off analyses or operational sprints to accelerate the business.
- Take ownership of small initiatives — from mapping workflows to improving internal tools.
What We Offer
- Real exposure to how an AI product works in the wild — not lab demos, but real customers.
- Fast learning curve in
AI operations, analytics, QA, and product iteration
. - Full remote flexibility with direct access to the founding team.
- A culture that values
autonomy, learning, and impact - Paid Internship or junior role with possibility of full-time conversion.
If you're analytical, curious, and want to help shape how AI meets the real world — this is your place.
- Join HeyDiga and help us turn every call into a customer.
-
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