Lead Data Analyst

Wise | Hyderabad, India | Full-time | IC3

About Quess Corp Limited

Quess Corp Limited is a leading business services provider that operates across the entire employee lifecycle. Headquartered in Bengaluru, with a significant presence in Hyderabad, Quess offers workforce management, operating asset management, and global technology solutions. The company serves clients across IT, retail, manufacturing, logistics, and other industries, helping enterprises improve operational efficiency and optimise human capital.

Client Overview: Wise

Wise is a global technology company building the best way to move and manage the world's money - with minimal fees, maximum ease, and full speed. Whether people and businesses are sending money internationally, spending abroad, or making and receiving cross-border payments, Wise aims to make these experiences simpler and more affordable. As part of Wise, you will help create an entirely new network for the world's money - for everyone, everywhere.

Role Summary

We are seeking a Lead Data Analyst who is passionate about Wise's mission of Money Without Borders. In this IC3 role, you will partner with operational teams to drive data-led decisions that support a fast-growing product through scaling and optimisation. You will lead analytics efforts across operations teams responsible for customer support, criminal-activity screening, and identity verification at scale. You will collaborate closely with operational leads and functions including workforce management, quality, training, and knowledge management to turn insights into meaningful improvements for customers.

Key Responsibilities

- Analytical capacity planning and forecasting: Build and refine analytical models for strategic capacity planning; own forecasting efforts aligned with business growth and operational demand.

- Data pipeline ownership: Own data pipelines to maintain and improve data flow, ensuring reliability, accuracy, and scalability.

- Predictive modelling and cause-and-effect analysis: Develop models to predict outcomes, perform causal analysis to identify key drivers, optimise processes, and strengthen strategic planning.

- Strategic support and analysis: Assess the operational health of the KYC function, conduct cost analysis, and analyse operational and quality metrics to understand customer-experience impact.

- Performance tracking and initiative optimisation: Monitor strategic initiatives, identify optimisation opportunities, and improve operational outcomes.

- KPI implementation and target setting: Lead development of the operations KPI tree and target-setting framework, integrating them into reporting pipelines and strategic operations.

- Stakeholder collaboration and process standardisation: Partner with stakeholders to standardise forecasting, scheduling, and real-time operations processes, driving continuous improvement and strategic alignment.

Required Qualifications and Skills

- 6 - 8 years of experience in analytics, with the ability to approach complex, interconnected problems using a systems mindset.

- Strong quantitative and statistical foundation, including probability, hypothesis testing, regression, time-series analysis, and model/trade-off thinking.

- Experience in operational analytics, such as efficiency analysis, cost modelling, performance measurement, or process optimisation.

- Ability to treat data as infrastructure, designing reusable, high-quality assets for dashboards, other teams, and automated systems.

- Advanced SQL skills, including experience with complex data models; familiarity with Snowflake is preferred.

- Advanced analytical skills in Python or R.

- Strong data storytelling and communication skills, with the ability to proactively guide strategy through insights.

- Experience with visualisation tools such as Looker, Superset, or Tableau.

- Bias for action, end-to-end project ownership, independent judgement, and the ability to influence cross-functional stakeholders.

Preferred Skills

- Experience with optimisation problems such as queuing theory, scheduling, or resource allocation.

- Familiarity with forecasting techniques including ARIMA, Holt-Winters, or similar time-series methods.

- Experience building data foundations for ML/AI, including feature engineering, labelled datasets, or structured event data.

- Prior experience in operations, servicing, or compliance domains.

- Familiarity with workforce management, quality assurance, or knowledge-management analytics.

- Experience with dbt, Airflow, or Git.

What Wise Offers

- A global, mission-driven working environment focused on creating fast, easy, fair, and open money movement.

- Equity through Restricted Stock Units (RSUs) for eligible employees.

- A paid sabbatical after four years of service, including six weeks' paid time off and financial support.

- Flexible working options and a work from anywhere benefit of up to 90 days per year after the first six months, subject to policy.

- Professional development funding, employee assistance support, volunteering opportunities, and social/team activities.

- For Hyderabad-based employees: 24 days of annual leave plus nine local public holidays, private medical and life insurance, and free office transportation.

Equal Opportunity:

Wise and Quess Corp are equal-opportunity employers and consider all qualified applicants without regard to race, religion, colour, national origin, gender, gender identity, sexual orientation, age, disability, or any other legally protected characteristic.