Deputy Manager E-Commerce

CareerBest Consultant; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

CareerBest Consultant is seeking a highly analytical Manager, Performance Analytics & CRM Intelligence in Mumbai. You will own data ingestion pipelines, CRM transformations, API integrations, funnel analytics, and performance insights that impact ROI.

You will translate large Ads, CRM, and customer journey data into actionable insights, manage attribution systems, and build dashboards, lead scoring, and propensity models to influence strategy across creative, landing pages and audiences.

Qualifications

• Must have hands-on experience building data ingestion pipelines and analytics for CRM ecosystems.
• Experience owning attribution, funnel analytics, and performance dashboards.
• Strong knowledge of Dynamics 365 or Salesforce routing, dispositions, and automation.

Responsibilities

• Data ingestion ownership across Google Ads, Meta Ads, publishers, CRM, and internal databases.
• Manage API connectors with vendors for real-time data in dashboards and CRM tables.
• Own GA4 and GTM tagging, event schema, and signal flow for web and CRM reporting.
• Develop lead scoring and propensity models; drive recommendations from data insights.
• Build multi-touch and first-touch attribution views aligned with KPIs.
• Create automated dashboards and insights to shape campaign strategy and optimisation.

Skills

Data ingestion

CRM analytics

APIs & integrations

Funnel analytics

Performance metrics

Dynamics 365

Power BI

Looker Studio

GA4/GTM

SQL

Python/R

AI literacy

Education

MBA/Analytics background

Tools

Power BI

Looker Studio

Dynamics 365

Salesforce

Job description

The organisation is seeking a highly analytical, data-driven, and technically proficient Manager, Performance Analytics & CRM Intelligence. The role requires complete ownership of data ingestion pipelines, CRM transformations, API integrations, funnel analytics, and performance insights that directly impact ROI and revenue.

This is a deeply technical, analytical position for a specialist who can translate large volumes of Ads, CRM, and Customer Journey data into actionable insights. You will manage attribution systems, build automated dashboards, build lead-scoring and propensity models, and influence creative, landing page, and audience strategy through UI/UX intelligence.

You will play a central role in ensuring that all digital signals - from Ads platforms to CRM- are stitched end-to-end, enabling the team to make fast, precise, and revenue-anchored decisions.

Key Responsibilities:

1. Data Analysis & Ingestion Pipelines

• Data Ingestion Ownership: Build, maintain, and optimise ingestion pipelines from Google Ads, Meta Ads, publishers, CRM, and internal databases.
• API Integrations: Manage and coordinate API connectors with 3P vendors and internal teams to ensure real-time data flows into dashboards, CRM tables, and audience systems.
• Signal Accuracy: Ensure accurate mapping of UTM parameters, source tracking, event tagging, and CRM disposition codes.
• Data Cleaning & Validation: Build processes to clean, standardise, and quality-check incoming lead and campaign data.

2. CRM Intelligence & Funnel Analytics

• Dynamics 365 Expertise: Own the analytics layer in Dynamics CRMmonitor routing, conversion stages, timestamp hygiene, and funnel drop-offs.
• Funnel Diagnostics: Conduct deep analytics across the full funnel: Impression Click Lead QL Opportunity Sale Revenue.
• Lead Quality Analysis: Build frameworks to identify junk lead patterns and correlate them with campaign, audience, and publisher parameters.
• Sales Feedback Loop: Integrate Sales/Call Centre disposition data into performance dashboards and trigger optimisation recommendations.

3. Measurement Infrastructure & Attribution

• GA4 & GTM Management: Own tagging, tracking, and event schema for all digital assets, ensuring flawless signal flow from web CRM reporting systems.
• Attribution Models: Create multi-touch and first-touch attribution views, aligned with business-specific KPIs.
• CAPI Integrations: Maintain Meta CAPI, Google enhanced conversions, offline conversions, and server-to-server integrations.

4. Predictive Modelling & Performance Scoring

• Lead Scoring Models: Build scoring frameworks using ad intent signals, CRM fields, landing page behaviours, and call outcomes.
• Propensity Modelling: Construct propensity models to predict likelihood of conversion by campaign, audience, publisher, and product.
• Forecasting & Trend Modelling: Use historical analytics to forecast spend efficiency, lead volumes, and product-specific sales trends.

5. Creative, Landing Page & Audience Intelligence

• UI/UX Optimisation: Analyse landing page behaviours (scroll depth, form drops, bounce patterns) to recommend UI/UX improvements.
• Creative Intelligence: Provide insights on creative hooks, messaging patterns, and audience resonance based on CRM & funnel data.
• Audience Architecture: Build high-intent platform audiences using CRM segments, lookalikes, retargeting clusters, and product behaviour cohorts.

6. Reporting, Automation & Insights

• Dashboarding: Build automated dashboards in Power BI, Looker Studio, and Excel that visualise Spend Leads QLs Sales ROAS Revenue.
• Automation: Implement automated triggers for anomaly detection (CPL spikes, lead quality dips, publisher issues).
• Insights & Recommendations: Provide daily, weekly, and monthly insights that shape campaign direction, targeting, and creative strategy.

Candidate Profile:

1. Technical Expertise

• Analytics & Data Tools: 47 years of experience with Power BI, Looker Studio, GA4, GTM, SQL (preferred), Python/R (optional).
• CRM Systems: Strong experience with Microsoft Dynamics 365 or Salesforce, specifically with routing tables, disposition codes, and automation flows.
• API & Integrations: Hands-on experience with API connectors, webhooks, server-side integrations, and ETL processes.
• Advanced Measurement: Experience with CAPI, offline conversions, enhanced conversions, and multi-touch attribution.
• AI Literacy: Ability to use AI tools for modelling, data cleaning, analysis, creative recommendations, and insight generation.

2. Experience & Skills

• Proven background managing performance analytics in high-volume lead-generation setups (BFSI preferred).
• Strong command over data modelling, signal hygiene, funnel optimisation, and attribution science.
• Ability to convert complex datasets into simple, actionable insights for media, sales, and product teams.
• Fast problem-solving mindset with the ability to identify root causes and recommend fixes instantly.

Education

• MBA/MMS/Bachelors degree in Business Analytics, Marketing, Digital Marketing, Data Science, or related fields.