Analytics Manager - R01563909

Brillio

Gurugram, India

8-15 Years

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Posted 18 hours ago
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Job Description

Engagement Manager

Primary Skills

Engagement Management
Solutioning/Pre-Sales
Client management
Multiple project handling
SOWs
Domain expertise
Should have technical background in BI/Data Engineering/Data Science
SQL Expertise
Graduate from Tier1 and Tier2 institutes only (BE/B Tech)

Specialization

Certification in Cloud/BI/ML

Job requirements

Job Description

Analytics Solution / Engagement Manager

Experience: 8-15 Years

Location: India (Client-facing / Hybrid)

Role Type: Client Engagement | Analytics Solutions | Leadership

Role Overview

We are seeking a seasoned Analytics Solution / Engagement Manager to lead end‑to‑end analytics engagements for strategic clients. This role requires a strong blend of hands-on analytics expertise, solutioning capability, client relationship management, and AI-driven thinking, with a proven ability to deliver measurable business value through advanced analytics.

The incumbent will act as a trusted analytics advisor to clients, owning solution design, delivery governance, stakeholder management, and expansion opportunities across complex, multi‑practice engagements.

Key Responsibilities

Client Engagement & Expectation Management
Serve as the primary analytics engagement lead for key client accounts, managing senior stakeholders (CXO, VP, Director level).
Own client expectation management, ensuring clear alignment on business goals, scope, timelines, and outcomes.
Drive analytics storytelling, translating complex data insights into clear, actionable narratives for business decision‑makers.
Lead and present MBRs/QBRs, executive dashboards, and impact assessments, showcasing ROI and business outcomes.
Proactively identify risks, dependencies, and roadblocks, and resolve them through independent research and structured problem-solving.
Analytics Solutioning & Delivery Leadership
Lead problem framing and requirement gathering from a business and analytics perspective, converting ambiguous asks into structured analytics use cases.
Define solution approach, architecture, and analytics roadmap in collaboration with data engineering, BI, and data science teams.
Provide hands‑on guidance across:

Analytics & Insights: Advanced SQL, Python/PySpark, exploratory analysis
Business Intelligence: Power BI / Tableau (data models, dashboards, performance optimization)
Data Engineering: ETL pipelines, data modeling, cloud data platforms
Advanced Analytics / Data Science: Predictive or prescriptive modeling (preferred)

Ensure analytical rigor, data quality, and scalability of solutions delivered.
Proposal Management & Pre-Sales Support
Lead or contribute to client proposals, including:

Solution design and effort estimation
Analytics approach and delivery model
Governance, staffing plans, and value articulation

Actively support and respond to RFIs/RFPs, showcasing domain knowledge, solution strength, and differentiation.
Collaborate with sales and leadership teams to drive account growth and deal renewals.
Cross‑Practice & Team Collaboration
Work in a cross‑practice collaboration model, aligning analytics with data engineering, AI/ML, visualization, and domain consulting teams.
Provide mentorship and technical leadership to analysts, data engineers, and senior consultants.
Establish delivery best practices, governance frameworks, and execution standards across engagements.
AI‑Driven & Forward‑Looking Analytics Mindset
Bring an AI‑driven mindset to analytics engagements, identifying opportunities to leverage: