Data Scientist (Nava Vadaj)

Data Scientist (Nava Vadaj)

13 Aug
|
Webindia
|
Nava Vadaj

13 Aug

Webindia

Nava Vadaj

Job Profile

Highlights :
Position Title : Data Scientist

Exp: 2+ years

Job Location: Nava Vadaj, Ahmedabad

Perks :
5 Days Working

Bi-weekly events

Paid sick leaves

Casual leaves & CL encashment

Employee performance rewards

Friendly work culture

Medical Insurance

Key Responsibilities

Build & Run the Data Pipeline (Core of this Role)

Connect live data sources — Google Ads, Meta Ads, Facebook Ads, CRM, and internal systems — directly via APIs, replacing all manual CSV exports with automated, reliable feeds

Own the full ETL process: extract data from multiple platforms, clean and standardise it, and load it into a central database (Supabase)

Build and maintain automated workflows so dashboards update on their own — no manual effort needed

Set up data quality checks and alerts so any issue in the data is caught automatically before it reaches the client

Build the Dashboards

Build transparent, structured dashboards that connect directly to live data — so numbers update automatically without anyone touching them





Make sure every client account’s data is accurate and trustworthy at all times

Identify and fix reporting discrepancies at the source, not just on the surface

Analyse & Advise

Read the data, spot trends and problems, and give a clear view on what is working and what is not

Turn findings into simple, actionable recommendations that a non-technical person can understand and act on

Must-Have Requirements

Digital Marketing Knowledge — Mandatory: Proven hands-on experience working with Google Ads, Meta Ads, and Facebook Ads data — understanding metrics like ROAS, CPA, CTR, spend, and conversions

ETL & Workflow Automation — Mandatory: You have built real automated pipelines and workflows end-to-end, not just assisted in building them

Automation Tools: Hands-on experience with tools like N8N, Make.com, Zoho Flow, or similar to automate data movement and remove manual steps

Strong SQL: Daily working knowledge — joins, aggregations, data cleaning, and

📌 Data Scientist (Nava Vadaj)
🏢 Webindia
📍 Nava Vadaj

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