Job Summary

We are seeking an experienced Senior BI & Analytics Consultant with deep expertise in Tableau, Customer Analytics, Data Modeling, SQL, and Python. The ideal candidate will have a strong track record of partnering directly with US-based business stakeholders to translate business requirements into impactful analytics solutions and dashboards.

The candidate should possess strong knowledge of Customer Analytics across Marketing, Digital, Sales, and Service functions, along with prior experience supporting Asset & Wealth Management clients. Experience with modern cloud data platforms and emerging AI technologies will be an added advantage.

Key Responsibilities

Design, develop, and optimize Tableau dashboards and self-service analytics solutions.
Partner directly with business stakeholders, product owners, and leadership teams in the US to gather requirements and deliver actionable insights.
Define, measure, and monitor key business KPIs across:
Marketing Analytics
Digital Analytics
Sales Analytics
Customer Service Analytics
Customer Journey & Engagement Analytics
Build scalable semantic and data models to support enterprise reporting and decision-making.
Develop and optimize SQL-based data transformations and analytical datasets.
Utilize Python for advanced analytics, automation, and data processing.
Translate complex business problems into analytical frameworks and actionable recommendations.
Ensure data quality, governance, and consistency across reporting assets.
Support data-driven initiatives within Asset & Wealth Management business functions.
Collaborate with data engineering teams to leverage cloud-based analytics platforms effectively.
Contribute to AI-driven analytics initiatives and intelligent agent solutions where applicable.

Required Qualifications

Must-Have Skills

Tableau & Data Visualization

Expert-level Tableau development experience.
Tableau certification preferred (Desktop Specialist, Certified Data Analyst, or equivalent).
Strong dashboard design, storytelling, performance optimization, and visualization best practices.

Data & Analytics

Advanced SQL skills with expertise in query optimization and complex data transformations.
Strong Python programming skills for analytics and automation.
Deep understanding of:
Data Modeling
Dimensional Modeling
Semantic Layer Design
Enterprise Reporting Architecture

Customer Analytics

Strong knowledge of KPIs and analytics frameworks related to:

Customer Acquisition
Customer Retention
Customer Lifetime Value (CLV)
Digital Engagement
Campaign Effectiveness
Sales Funnel Performance
Customer Segmentation
Service Experience Metrics
Conversion and Cross-Sell Analytics

Stakeholder Management

Proven experience working directly with US-based stakeholders.
Excellent communication, presentation, and consultative problem-solving skills.
Ability to communicate complex analytical concepts to both technical and non-technical audiences.

Domain Experience

Experience supporting Asset & Wealth Management clients.
Understanding of industry concepts such as:
Assets Under Management (AUM)
Client Segmentation
Portfolio Performance
Advisor Productivity
Investor Engagement Metrics
Wealth Product Analytics

Preferred Qualifications

Cloud & Data Platforms

Working knowledge of AWS analytics services:

Amazon Athena
AWS Glue
Amazon Redshift
S3-based analytics architecture

AI & Emerging Technologies

Experience building or supporting AI Agents/Copilots using any technology stack.
Familiarity with Generative AI, LLM-based solutions, Retrieval-Augmented Generation (RAG), or conversational analytics use cases.

Desired Candidate Profile

Strong consulting mindset with an ability to engage with senior business stakeholders.
Excellent verbal and written communication skills.
Ability to work independently in a fast-paced, global environment.
Strong analytical thinking and business acumen.
Passion for data visualization, storytelling, and business impact.

Nice to Have

Tableau Certifications.
Experience with Customer Data Platforms (CDP).
Experience with Salesforce, Adobe Analytics, Google Analytics, or similar customer analytics ecosystems.
Exposure to AI-powered analytics and automation initiatives.

Primary Skills: Tableau, Customer Analytics, SQL, Python, Data Modeling, Semantic Layer, Stakeholder Management, Asset & Wealth Management

Secondary Skills: AWS Athena, AWS Glue, Redshift, AI Agents, Generative AI, Cloud Analytics Technologies.

Tableau Developer

Senior Analyst (Tableau developer+ Pharma)