Assistant Manager, Customer Analytics

Assistant Manager Customer Analytics -Pune, India

Want to work on the front lines with a global FinTech company that is poised to revolutionize the industry. Come join our growing team and help shape our company’s digital capabilities and revolutionize the industry as an Assistant Manager, Customer Analytics.

Western Union powers your pursuit.

The Assistant Manager Customer Analytics has a significant role in using insight from customers and colleagues worldwide to improve financial services for families, small businesses, multinational corporations, and non-profit organizations.

Role Responsibilities

• This role will focus on driving and supporting analytics initiatives at the Customer Engagement Management (CEM) function within Western Union.
• You will work with CRM and loyalty teams to build data and analytics products to support customer growth and retention strategies.
• You will identify, analyze and develop strategies that support direct marketing programs, design and implement methods to gauge program effectiveness and also be responsible for setting up and executing valid measurement plans based on Design of Experiment methodologies.
• You will be partnering with resources from various internal Data teams and P&L business owners to align on insights, recommendations, and steps forward.
• The role requires innovative systematic thinking, creative problem solving, and strong rational skills. Majority of your time will be spent framing solutions to critical problems, querying databases, working on exploratory & diagnostic data analysis for root cause identification and resolution.
• Your analysis will result in prescriptive and actionable recommendations for the business.
• You will also be responsible for people management of business analysts in the CEM team. This will include task prioritization and resource assignment to ensure all analytics projects are completed per expectations.
• You will be the resident analytics champion responsible for fostering a culture of data driven decision making within the CEM team.
• You need to be extremely self-motivated, accountable, results-oriented, and comfortable working in an unstructured business environment. Previous experience of lean and agile working methodologies is also desirable.

Role Requirements

• 6+ years of relevant experience in the field of data analytics with 2+ years of people management; prior professional experience in the Financial Services / Banking field a plus. Expert command of database querying (SQL) and sound statistics knowledge with a reasonable command over R/Python is a must.
• Familiarity with dashboarding and visualization tools like Microsoft Power BI, Tableau is needed.
• Exposure to CDP tools like Adobe Analytics/Amplitude is desired.
• Also required is proficiency in MS Office tools (Excel, Power Point) and the ability to communicate with multiple business partners in a non-technical language.

We make financial services accessible to humans everywhere. Join us for what’s next.

Western Union is positioned to become the world’s most accessible financial services company —transforming lives and communities. We’re a diverse and passionate customer-centric team of over 8,000 employees serving 200 countries and territories, reaching customers and receivers around the globe. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward.

Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You’ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you’re ready to help drive the future of financial services, it’s time for Western Union. Learn more about our purpose and people at https://careers.westernunion.com/.

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

(https://careers.westernunion.com/global-benefits/). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits 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 Check up
• Hospitalization Insurance Coverage (Mediclaim)
• Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance
• Cab Facility
• Relocation Benefit

Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate.

Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week.

We are passionate about diversity. 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.

#LI-HR1 #LI-Hybrid

Estimated Job Posting End Date:

10-14-2025

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.