Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

PUNEofficeDirect Career PageEst. 12–20 LPA

Posted 9h ago

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand plus popular Data Analyst title and metro location drive high applicant competition.

Background Fit Sensitivity

(Moderate)

Core data and AI tooling skills are transferable, though partner/channel domain preference increases specificity.

Shortlisting Strictness

(Moderate)

Strong technical requirements (Snowflake, SQL, Python, BI, LLMs) but no explicit years filter.

Structured overview of role & requirements

Develop AI-driven dashboards with automated narratives and trend detection using Tableau, CRMA, or Preset.

Design and maintain a unified data source in Snowflake covering Rebates, Co-sell, MDF, and Training data.

Automate SQL query, Python script, and dashboard documentation generation using AI tools to enhance team productivity.

Expert-level SQL skills in Snowflake, capable of writing complex, high-performance queries.

Proficiency in Python for data manipulation (pandas, numpy) and integration with AI APIs or Snowflake Cortex.

Experience building dashboards with at least one modern BI tool (Tableau, CRMA, or Sigma).

Work Experience Required: Not explicitly mentioned in the JD.

Experience leveraging Large Language Models (LLMs) for text-to-SQL, data cleaning, or predictive analytics automation.

Domain experience in Channel/Partner/Services (e.g., GLS, GPS, TAM) highly preferred.

Ability to translate complex partner co-sell data into strategic insights and narratives for sales leadership.