Specialist, Customer Analytics

Role Responsibilities

As a Specialist Customer Analytics & AI within our Customer Analytics team based in Pune you will leverage customer data advanced analytics and AI solutions to drive customer acquisition engagement retention and product adoption addition to traditional analytics capabilities the candidate will play a key role in developing AI-enabled solutions including building context layers and knowledge frameworks that improve the effectiveness relevance and accuracy of enterprise AI applications. You will also -

• Develop a deep understanding of customer behavior business performance metrics and customer lifecycle dynamics.
• Support customer acquisition engagement retention cross-sell and product adoption initiatives through data-driven insights.
• Conduct exploratory and diagnostic analysis to identify business opportunities and customer trends.
• Develop dashboards scorecards and reporting solutions to monitor key business KPIs.
• Translate analytical findings into actionable business recommendations.
• Query manipulate and analyze large structured and unstructured datasets using SQL and Python.
• Build and validate analytical datasets for reporting modeling and experimentation.
• Support predictive modeling customer segmentation propensity modeling and forecasting initiatives.
• Ensure data quality integrity and consistency across analytical deliverables.
• Design develop and support AI-driven analytical solutions that improve business decision-making.
• Build and maintain context layers that enable AI models and assistants to generate accurate business-relevant outputs.
• Develop frameworks that combine structured and unstructured enterprise data to support AI applications.
• Design and implement Retrieval Augmented Generation (RAG) solutions semantic search frameworks and knowledge retrieval mechanisms.
• Partner with business stakeholders to identify and prioritize AI use cases that drive measurable business value.
• Evaluate and recommend new AI technologies tools and frameworks for enterprise adoption.
• Establish and follow best practices for prompt engineering context management model evaluation and AI governance.
• Design and support A/B testing and test-versus-control measurement frameworks.
• Measure campaign effectiveness and incremental business impact.
• Apply statistical methodologies to ensure analytical rigor and reliability of conclusions
• Partner with Marketing Product Customer Experience Digital and regional business teams.
• Communicate insights and recommendations effectively to technical and non-technical audiences.
• Present complex analytical findings in a clear concise and business-focused manner.

Role Requirements

• Bachelors degree in Engineering Statistics Mathematics Computer Science Business Analytics Data Science Economics or a related quantitative field with 34 years of experience in Analytics Business Intelligence Data Science Customer Analytics Marketing Analytics or related domains.
• 12 years of hands-on experience developing and implementing AI Machine Learning or Generative AI solutions including working with LLMs in enterprise environments.
• Experience building and maintaining AI context layers knowledge frameworks retrieval systems RAG architectures embeddings semantic search vector databases and AI evaluation frameworks to improve AI relevance and performance.
• Strong SQL and Python skills with expertise in large-scale data analysis data wrangling feature engineering statistical analysis hypothesis testing experimentation and analytics automation.
• Experience integrating multiple data sources developing scalable AI-driven business solutions and creating dashboards using Power BI Tableau or similar visualization tools.
• Hands-on experience with AI platforms and cloud technologies including Snowflake Cortex AI Azure OpenAI OpenAI Anthropic vector databases (Pinecone Weaviate Chroma FAISS) and cloud platforms such as Azure AWS or GCP.
• Strong problem-solving stakeholder management and communication skills with the ability to translate business problems into scalable analytical and AI solutions while thriving in a fast-paced innovation-driven environment.

Work Shift

Western Union values in-person collaboration problem solving and ideation whenever possible. We believe this fosters common ways of working and supports how we execute initiatives for our customers. The expectation is to work from the office a minimum of three days a week.

BENEFITS AND OTHER DETAILS

Benefits

You will also have access to short-term incentives multiple health insurance options accident and life
insurance and access to best-in-class development platforms to name a few. Please see the benefits below specific to your country. If applicable additional role-specific benefits will be mentioned during your interview process or in an offer of employment.

Your India specific benefits include:

• Employees Provident Fund EPF
• Gratuity Payment
• Public holidays
• Annual Leave Sick leave Compensatory leave and Maternity / Paternity leave
• Annual Health Checkup
• Hospitalization Insurance Coverage (Mediclaim)
• Group Life Insurance Group Personal Accident Insurance Coverage Business Travel Insurance
• Cab Facility
• Relocation Benefit

Other Details

As part of the application process all applicants are required to take assessments. Western Union has partnered with a 3rd party provider to administer these tests. Applicants will need to provide their name and email address in order to process the assessments. If you have any questions you may reach out to .

We are passionate about honoring our employees identity and fostering a feeling of belonging. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race color national origin religion political affiliation sex (including pregnancy) sexual orientation gender identity age disability marital status or veteran status. The company will provide accommodation to applicants including those with disabilities during the recruitment process following applicable laws.

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Estimated Job Posting End Date:

This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.