Job Profile

Highlights:
Position Title: Data Analyst
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 and run the data pipeline (the technical core)

Connect data sources: build automated connections — via APIs and connectors — to the advertising, analytics, CRM, and internal systems our clients and we run on, replacing manual CSV exports with reliable feeds.
Own the ETL process: extract from many sources; transform (clean, de-duplicate, standardise formats, reconcile inconsistent naming across accounts); load into a central store (Supabase).
Model the data well: design table structures, relationships, and keys that stay accurate and fast as data volume and client count grow.
Automate and safeguard: schedule pipelines to refresh on their own, and build in data-quality checks so errors are caught before they reach a dashboard.

Build the dashboards

Build clear,



well-structured dashboards in Zoho Analytics — designed to answer real questions, not just display numbers.

Keep every client account’s numbers trustworthy; diagnose reporting discrepancies and close tracking gaps at the source.

Analyse and advise (the point of the role)

Interpret the dashboards you build — surface trends and anomalies, and give a explicit point of view on what is working, what is not, and what we should do differently.

Turn analysis into recommendations a non-technical stakeholder can act on, in plain language.

Must-Have Requirements

Strong SQL — this is the baseline for the role.

Python (or similar) for scripting, automation, and heavier data work.

Genuine grasp of the ETL process, you understand what extract, transform, and load each demand, and have built pipelines that hold up over time.

Data modeling — you can translate a reporting need into clean, maintainable table structures (fact/dimensi

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