Data Analytics Team Lead – Public Transportation at KPMG India

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

0.0

Posted On

22 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Power BI, GIS, Team Leadership, Data Modeling, Data Visualization, Geospatial Analysis, Data Storytelling, Project Management, Analytical Thinking, Communication Skills

Industry

Financial Services

Description

We Are KPMG Israel. KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society. KPMG Israel is seeking a Data Analytics Team Lead to manage and deliver data analytics projects in the public transportation sector. This role combines hands-on analytical work with team leadership, managing and mentoring a team of analysts while delivering advanced analytics that generate meaningful business, operational, and strategic insights - including spatial based insights that are central to transportation planning and operations. The ideal candidate is both a strong individual contributor and an effective people leader, with deep analytical and technical expertise, including geospatial/GIS analysis, and the ability to translate complex data into clear, actionable recommendations. Key Responsibilities Lead, mentor, and manage a team of 4 data analysts, ensuring high-quality delivery and supporting professional growth, perform hands-on data analysis and guide the team in solving complex analytical problems Delivering business, operational, and strategic insights derived from data analysis, including geospatial based analysis Own end-to-end analytical workflows — from data ingestion and modeling to visualization, mapping, and client delivery Serve as a trusted partner to the client, building strong working relationships, understanding evolving business needs, and translating them into analytical solutions. Support the professional growth of team members through coaching, mentoring, knowledge sharing, and analytical guidance. Develop analytical solutions using Python, SQL, Excel, Power BI, and GIS/mapping tools Collaborate with business and technical clients across the organization Drive adoption of AI-powered analytics, automation, and scalable data solutions Requirements 3+ years of hands-on experience with Python and SQL 2+ years of experience managing or leading a team Proven ability to work effectively in multi-stakeholder, cross-functional environments Strong analytical thinking, ownership mindset, and attention to detail Excellent communication and presentation skills Strong proficiency in Power BI, including dashboard development, data modeling, and visualization — required Technical & Professional Skills (Highly Valued) Demonstrated experience with GIS, geospatial data, and mapping/visualization tools (e.g., ArcGIS, QGIS, or similar) Strong data storytelling skills and the ability to influence decision-making through data Experience with public transportation, transit, or mobility data Experience working in cloud environments (Azure, AWS, or GCP) and Git / version control This position is open to all candidates. We are committed to diversity and view it as a source of strength and growth. We believe in inclusion and empower women and men alike.

Responsibilities

Lead and mentor a team of data analysts to deliver strategic and operational insights for the public transportation sector. Manage end-to-end analytical workflows including data ingestion, modeling, and geospatial mapping for clients.