
Opportunity at
WiseLead Product Analyst - Operations
Wise is seeking a Lead Product Analyst for Operations to join its team in Hyderabad on a full-time, on-site basis. In this position, the professional will…
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About This Role
Wise is seeking a Lead Product Analyst for Operations to join its team in Hyderabad on a full-time, on-site basis. In this position, the professional will partner with operational groups responsible for customer support, fraud screening, and large-scale identity verification. The individual will work alongside operational leads, workforce management, training, quality, and knowledge management to translate data findings into actionable improvements for customers. This is an IC3 level role focused…
Job Description
Wise is seeking a Lead Product Analyst for Operations to join its team in Hyderabad on a full-time, on-site basis. In this position, the professional will partner with operational groups responsible for customer support, fraud screening, and large-scale identity verification. The individual will work alongside operational leads, workforce management, training, quality, and knowledge management to translate data findings into actionable improvements for customers.
This is an IC3 level role focused on advancing analytics initiatives within operations. Responsibilities include building strategic capacity planning models, handling forecasting needs, managing data pipelines, and executing predictive modelling to enhance decision-making. The professional will evaluate operational health for KYC, analyse costs, review metrics tied to customer experience, and track strategic initiatives. Additionally, the role involves establishing the operations KPI tree and target-setting frameworks while standardising processes across forecasting, scheduling, and real-time operations.
Responsibilities
- Build and refine analytical models for strategic capacity planning and forecasting
- Take ownership of data pipelines to ensure accuracy, reliability, and smooth data flow
- Develop predictive models and perform cause and effect analysis to optimise operational processes
- Assess the operational health of KYC functions and conduct in-depth cost and metric analyses
- Monitor performance of strategic initiatives and identify optimisation opportunities
- Lead the development of the operations KPI tree and target-setting framework
- Collaborate with stakeholders to standardise processes across forecasting, scheduling, and real-time operations
Requirements
- Have 6 to 8 years of analytics experience with a systems mindset
- Possess a strong quantitative and statistical background including hypothesis testing, regression, time series analysis, and probability
- Demonstrate experience with operational analytics such as efficiency analysis, cost modelling, and process optimisation
- Bring experience handling complex data models in SQL and advanced analysis using Python or R
- Utilise visualisation tools like Looker, Superset, or Tableau
- Show excellent communication skills and a bias to action to own projects end-to-end
Qualifications
- Experience with optimisation problems like scheduling, resource allocation, or queuing theory
- Familiarity with forecasting techniques such as ARIMA and Holt-Winters
- Experience building data foundations supporting machine learning or artificial intelligence
- Prior background in operations, compliance, or servicing domains
- Familiarity with knowledge management, quality assurance, or workforce management analytics
- Experience working with Git, Airflow, or dbt
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and work arrangement for this role?
The position is based in Hyderabad and is on-site.
What is the employment type?
This is a full-time position designated as an IC3 role.
What level of experience is required?
Candidates need 6 to 8 years of experience in analytics with a strong quantitative and statistical background.
What is the salary for this position?
The salary is not stated in the job posting.
Sample Interview Questions
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