Analytics Consultant - Marketing and Ecommerce

Ignyte IQ

India

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Ignyte IQ is seeking an Analytics Consultant for marketing and ecommerce data analysis. This role involves utilizing SQL and Python to generate insights from key business data, collaborating with stakeholders, and developing reporting systems. Ideal candidates have 3-6+ years in data analytics, fluency in SQL, strong analytical skills, and the ability to communicate findings effectively. Experience with marketing data and tools like Google Ads and Shopify is preferred. Join us to drive impactful data-driven decisions.

Qualifications

3–6+ years of experience in data analytics or data science, ideally in marketing, retail, or e-commerce settings.
Experience with paid media and CRM systems.
Strong analytical and investigative mindset.

Responsibilities

Answer real business questions by analyzing data from multiple sources.
Design and build clear, well-documented SQL queries.
Maintain Python notebooks for exploratory analysis and forecasting.
Develop dashboards and reporting systems.

Skills

SQL

Python

Data Analysis

Communication

Attribution Modeling

Marketing Data

Tools

Jupyter Notebooks

Google Ads

Shopify

Klaviyo

Redshift

Snowflake

BigQuery

Job description

Analytics Consultant - Marketing and Ecommerce

Ignyte IQ is an analytics and automation platform tailored for modern brands. We provide a unified view of your business by automatically syncing data from major e-commerce, advertising, and operations platforms. Our platform can be set up in less than 10 minutes, allowing businesses to quickly start seeing value and making data-driven decisions.

Role Description

You’ll be the analytical backbone of our marketing and ecommerce intelligence efforts. Responsibilities include:

Answer real business questions from founders, marketers, and clients by wrangling and analyzing data from multiple sources (e.g. Shopify, Meta, Google Ads, Klaviyo, GA4).
Design and build clear, well-documented SQL queries and transformations across cloud data warehouses (e.g. Redshift, Snowflake, BigQuery).
Work closely with stakeholders to translate vague hypotheses into sharp analytical insights that drive business decisions.
Build and maintain Python notebooks to support exploratory analysis, forecasting, attribution modeling, and cohort-based LTV analysis.
Communicate findings to non-technical stakeholders in a clear, engaging, and actionable way—whether it’s in a Slack thread, Notion post, or client deck.
Develop dashboards and reporting systems that support internal teams and external clients.
Be a thought partner in product analytics, marketing analytics, customer segmentation, pricing, and more.
Bring curiosity, energy, and a bias for action into every project.

Qualifications

3–6+ years of experience in data analytics or data science, ideally in marketing, retail, or e-commerce settings.

Fluency in SQL — writing performant, scalable queries across multiple datasets and schemas is second nature.

Strong experience working with marketing data: paid media (Meta, Google Ads), CRM (Klaviyo, Braze), and conversion tracking.

Solid Python skills for analysis in Jupyter notebooks — pandas, numpy, matplotlib/seaborn, scikit-learn or statsmodels.

Excellent communication skills — you're comfortable presenting your findings to clients and executives.

Experience working cross-functionally with marketers, product teams, and business leaders.

Curious, autonomous, and investigative mindset — you don’t wait for tickets, you chase questions.

Company Description