Careerbest Consultant
Deputy Manager E-Commerce
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹600,000 – ₹900,000 / year
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
19 September 2026
What they need
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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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:
- 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.
- 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.
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