Team Leader - Data Analytics

WSP in India; Bengaluru; On-site; INR 2,600,000 - 4,800,000; Full time

Job summary

WSP in India seeks a Team Leader – Data Analytics to lead a high-performing analytics function within the GCC PMO. The role focuses on delivering scalable analytics across data engineering, reporting, automation, and advanced analytics to support project controls and governance.

The position requires strong leadership, technical expertise in Power BI, SQL, Python, and the ability to drive standardised reporting across projects and portfolios while collaborating with UK stakeholders.

Qualifications

• Proven experience leading data analytics teams
• Strong data storytelling and stakeholder management
• Expertise in building scalable analytics solutions

Responsibilities

• Lead and develop a high-performing Data Analytics team
• Govern reporting standards and data visualisation
• Oversee end-to-end analytics delivery across data ingestion, modelling, dashboards, and insights
• Drive automation and digital PMO solutions across Power Platform
• Collaborate with GCC and UK stakeholders to streamline reporting and insights
• Ensure dashboards are executive-friendly and tailored to stakeholder needs
• Promote standards for QA/QC, KPI libraries and version control
• Foster a collaborative, one-team culture across regions

Skills

People leadership

Data analytics leadership

Power BI

SQL

Python

Project controls

Education

Bachelor's degree in a relevant field

Tools

Power BI

Excel

DAX

Job description

Job Description

We are seeking a highly capable Team Leader – Data Analytics (P4) to lead and manage the Data Analytics function within the UK&I Transport & Infrastructure PMO GCC.

The role is responsible for delivering high-quality, scalable, and data-driven analytics solutions across data engineering, visualisation, reporting, automation, and advanced analytics, enabling effective decision-making across project controls, programme performance, portfolio governance, and strategic leadership reporting.

This is a dual leadership role requiring both strong technical expertise and effective people leadership. The successful candidate will lead a team of data analytics professionals, drive reporting standardisation, champion digital innovation, and work closely with Head –T&I PMO, PMO Leads and UK stakeholders to continuously streamline, optimise, and enhance reporting and insights across projects.

Responsibilities

• Team Leadership & People Management


• Lead, manage, and develop a high-performing team of Data Analytics professionals within the GCC.


• Provide day-to-day leadership across analytics delivery, team priorities, and performance outcomes.


• Drive resource planning, workload allocation, and delivery prioritisation across multiple concurrent projects and PMO initiatives.


• Recruit, onboard, mentor, and retain talent aligned to business growth and capability requirements.


• Conduct performance reviews, set development goals, and implement structured upskilling plans for team members.


• Foster a strong “one-team” culture across GCC and UK / onshore stakeholders, promoting collaboration, accountability, and shared success.


• Build sustainable team capability in reporting, automation, analytics, and digital PMO solutions.


• Reporting Standardisation & Scalable Delivery


• Define and implement a standardised reporting solutions across projects and portfolios which are scalable, efficient, and aligned to PMO governance standards.


• Work in consultation with PMO Leads in GCC and UK stakeholders to align project reporting requirements to the appropriate maturity level.


• Standardise key dashboards, templates, KPIs, and reporting approaches to support consistency across the portfolio.


• Drive adoption of common data models and structured reporting approaches across teams.


• Analytics Delivery & Governance


• Oversee end-to-end analytics delivery, including: Data ingestion, Data transformation and modelling, Validation and QA/QC, Dashboard development and reporting, Insight generation and stakeholder presentation


• Ensure all outputs meet expected standards for quality, consistency, governance, auditability, and repeatability.


• Establish and maintain QA/QC frameworks, delivery checklists, KPI libraries, and reporting standards.


• Create structured operating models for analytics delivery, including templates, SOPs, naming conventions, and version control.


• Drive lessons learned and continuous improvement across analytics delivery processes.


• Dashboarding, Visualisation & Reporting


• Lead the design and development of Power BI dashboards and interactive reporting solutions to support:




• Project controls performance


• Programme and portfolio reporting


• Cost and commercial insights


• Risk and issue visibility


• Resource utilisation and team performance


• Leadership and business review reporting




• Ensure dashboards are intuitive, executive-friendly, and tailored to stakeholder needs.


• Support standardisation of reporting outputs across tools such as Power BI, Excel, and other approved visualisation platforms.


• Improve visibility and decision-making through automated, real-time, or near real-time reporting where appropriate.


• Automation & Power Platform Enablement


• Drive adoption of Power Platform solutions to streamline PMO and project reporting processes, including:




• Power BI for analytics and visualisation


• Power Automate for workflow and process automation


• Power Apps for digital forms, data capture, and process enablement




• Identify repetitive manual processes and convert them into efficient automated solutions.


• Design integrated workflows connecting project data, approvals, alerts, and reporting outputs.


• Promote a digital-first approach to reporting, governance, and information management.


• Propose and implement practical automation solutions that improve efficiency, control, and user experience.


• Technical Analytics, Data Engineering & Advanced Insights


• Build and maintain integrated data models across multiple systems and data sources, such as SharePoint, ERP / finance systems, Project controls tools.


• Promote use of advanced Excel, Power Query, DAX, SQL, Python, and modern data engineering practices where appropriate.


• Explore opportunities to apply advanced analytics, AI/ML, GenAI, and automation to improve efficiency and insight generation.


• Translate complex datasets into clear, actionable, business-relevant insights for PMO, project, and leadership stakeholders.


• PMO, Project Controls & Business Integration


• Work closely with PMO Leads,