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Analytics Consultant - Marketing and Ecommerce

Analytics Consultant - Marketing and Ecommerce

ConfidentialIndia
5 days ago
Job description

Company Description

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.

Nice-to-Haves

  • Experience in attribution modeling , media mix modeling , or incrementality testing .
  • Familiarity with dbt, Airflow, or data transformation tools.
  • Exposure to Looker, Mode, Metabase, or other BI tools.
  • Experience with A / B testing frameworks or causal inference methods.
  • Startup or agency experience with high ownership and context switching.
  • Skills Required

    Sql, conversion tracking , Google Ads, Seaborn, Pandas, Matplotlib, Numpy, Python

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