Head of Data & Growth Analytics

Astro Arun Pandit

Website: astroarunpandit.org
Job details:

Role: Head of Data & Growth Analytics

Location: Noida

Industry: Astrology, Spirituality, E-commerce, Digital Content

Function: Data, Growth, Business Intelligence, Strategy

Experience: 5–10 years

Reporting to: Founder / CEO

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About the Role

We are building a data-driven growth engine to scale our multi-brand business from ₹100 Cr to ₹1000 Cr+.

We are looking for a business-first data leader who can turn messy data into sharp business decisions across marketing, product, content, CRM, inventory, finance, and customer retention.

This is not a pure dashboard role.

This is not an academic machine-learning role.

This is a growth, profitability, and decision-intelligence role.

You will own the data system that helps leadership answer:

* Which customers are most profitable?

* Which ad channels deserve more capital?

* Which products and SKUs should we scale or kill?

* Which content topics convert into revenue?

* Which CRM journeys increase repeat purchase?

* Which astrologers/experts/creators drive trust and retention?

* Where are we wasting money?

* Where should we double down?

Your job is to build the company’s single source of truth and convert data into decisions that improve revenue, margins, CAC payback, LTV, repeat purchase, and cash efficiency.

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Key Responsibilities

1. Build the CEO Growth Dashboard

Create and own a weekly decision dashboard covering:

* Revenue

* Gross margin

* Contribution margin

* CAC

* Blended CAC

* Channel-wise CAC

* 30/60/90-day LTV

* CAC payback

* AOV

* Repeat purchase rate

* Refund rate

* Product/category profitability

* Inventory ageing

* Content-to-revenue

* CRM performance

* Expert/consultant performance

The dashboard should not just show numbers. It should guide decisions on what to scale, cut, test, or fix.

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2. Create a Single Source of Truth

Unify data across:

* Website/app

* Shopify/custom e-commerce platform

* Meta Ads

* Google Ads

* YouTube

* Instagram

* WhatsApp CRM

* Email/SMS/push tools

* Payment gateway

* Inventory/ERP

* Accounting/finance

* Consultation/service platform

* Content platforms

You will define clean logic for:

* Revenue

* Refunds

* Discounts

* CAC

* Gross margin

* Contribution margin

* Customer identity

* Product/SKU mapping

* Campaign/source attribution

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3. Own Growth Analytics

Help marketing and growth teams make better decisions using:

* Channel profitability analysis

* Campaign-level CAC and payback

* Cohort LTV analysis

* Creative performance by customer quality

* Funnel drop-off analysis

* Landing page performance

* Attribution and incrementality thinking

* Budget reallocation insights

You should be able to tell us which channels are bringing profitable customers, not just traffic or vanity ROAS.

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4. Own Customer and Retention Analytics

Build customer intelligence around:

* High-LTV segments

* Low-quality customer segments

* Repeat purchase behavior

* Churn risk

* First-purchase cohort performance

* Next-best-product opportunities

* WhatsApp/email journey performance

* Subscription and membership behavior

You will help us move from generic campaigns to behavior-based personalization.

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5. Own Product and SKU Profitability

Work with product, e-commerce, and finance teams to identify:

* High-margin products

* Low-margin products

* Dead stock

* Fast-moving SKUs

* Stockout risks

* Bundle opportunities

* Festival demand patterns

* Return/refund issues

* Contribution margin by SKU/category

The goal is to scale profitable products, not just high-revenue products.

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6. Own Content-to-Revenue Analytics

For our astrology, spirituality, and content brands, you will connect content performance to business outcomes.

Track:

* Revenue per 1,000 views

* Lead conversion by content topic

* Paid conversion by topic

* Creator-wise revenue

* Topic-wise LTV

* Consultation bookings by content type

* Organic vs paid content impact

We do not want to optimize only for views. We want to optimize for revenue, intent, trust, and repeat purchase.

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7. Build Expert / Astrologer / Consultant Scorecards

If relevant to the brand, you will help build performance scorecards for experts and service providers.

Metrics may include:

* Booking conversion

* Repeat consultation rate

* Average session value

* Refund rate

* Complaint rate

* Ratings/NPS

* Utilization

* Problem-category fit

This will help improve lead allocation, pricing, quality control, and customer experience.

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8. Support Forecasting and CFO Analytics

Help leadership improve planning around:

* Revenue forecasting

* Demand forecasting

* Inventory forecasting

* Cash flow visibility

* Working capital

* Category-level P&L

* Channel-level profitability

* Customer acquisition planning

The role should support both growth and financial discipline.

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What Success Looks Like in the First 90 Days

First 30 Days

* Complete data audit

* Identify tracking gaps

* Define metric dictionary

* Map all major data sources

* Fix core revenue, CAC, and customer identity logic

* Create first version of CEO dashboard

First 60 Days

* Launch cohort LTV/CAC analysis

* Launch channel profitability report

* Launch product/category contribution report

* Identify best and worst customer segments

* Identify highest-payback acquisition channels

* Identify major data quality issues

First 90 Days

* CEO growth dashboard fully live

* Weekly data-driven growth review running

* Marketing budget reallocation insights available

* Product/SKU scale-kill list created

* Content-to-revenue report live

* CRM segmentation opportunities identified

* First set of retention and personalization experiments launched

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Required Skills

You should be strong in:

* SQL

* Excel/Google Sheets

* BI tools: Power BI, Looker, Metabase, Tableau, or similar

* GA4, Mixpanel, Amplitude, or similar product analytics tools

* Marketing analytics

* Cohort analysis

* Funnel analysis

* LTV/CAC analysis

* Customer segmentation

* Dashboard design

* Data storytelling

* Business problem solving

Good to have:

* Python

* dbt

* BigQuery / Snowflake / Redshift

* Airbyte / Fivetran

* CRM tools like WebEngage, MoEngage, CleverTap, Braze

* E-commerce analytics

* Marketplace/service analytics

* Inventory and finance analytics

* Basic machine learning understanding

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What We Are Looking For

We want someone who:

* Thinks like a business owner, not just an analyst

* Understands CAC, LTV, margin, payback, and retention

* Can work with imperfect data and still produce useful decisions

* Can challenge marketing, product, finance, and operations teams with facts

* Can simplify complex data into clear CEO-level insights

* Can build systems, not just one-time reports

* Can separate vanity metrics from real business metrics

* Can operate with speed and ownership

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What We Are Not Looking For

This role is not for someone who:

* Only wants to build dashboards

* Only understands academic data science

* Talks about AI before fixing basic data quality

* Cannot connect data to revenue, margin, or cash flow

* Needs perfect data before making progress

* Produces reports but no business recommendations

* Optimizes for clicks, views, or ROAS without understanding profit

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Ideal Background

Strong candidates may come from:

* D2C / e-commerce

* Consumer internet

* Digital content platforms

* Marketplace businesses

* Subscription businesses

* Performance marketing analytics

* Growth analytics

* Business intelligence

* Fintech / edtech / healthtech consumer brands

Experience in astrology, spirituality, wellness, or digital content is a bonus, not mandatory.

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Key Metrics You Will Own

* Revenue visibility

* Gross margin visibility

* Contribution margin visibility

* CAC

* Blended CAC

* Channel-wise CAC

* CAC payback

* LTV/CAC

* 30/60/90-day LTV

* AOV

* Repeat purchase rate

* Churn

* Refund rate

* Product/category profitability

* SKU movement

* Inventory ageing

* Content-to-revenue

* CRM conversion

* Customer segment profitability

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Why Join Us

You will work directly with the founder and leadership team to build the data backbone for a fast-scaling multi-brand consumer business.

This role has high ownership and high visibility. Your work will directly influence:

* Marketing budgets

* Product strategy

* Content strategy

* CRM and retention

* Inventory planning

* Hiring decisions

* Capital allocation

* Brand-level growth strategy

If you want to build a data function that actually drives business outcomes, this is the role.

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How to Apply

Send your CV along with a short note answering:

1. What is the most useful growth dashboard you have built?

2. How would you measure whether a marketing channel is truly profitable?

3. How would you identify high-LTV customer segments?

4. What metrics would you track weekly for a ₹100 Cr consumer brand scaling to ₹1000 Cr?

Send applications to: [Email - ak@astroarunpandit.org]

Click on Apply to know more.