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we are looking for a BI Team Lead.
The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.

Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.

Responsibilities:

Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data

We are 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.

Required Senior Business Data Analyst
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the Data team might be what you're looking for.
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the Data team might be what you're looking for.
What am I going to do?
Data analysis focal for business & product-related teams
Proactively provide insights that will lead the business growth
Ability to model/simulate new features & opportunities, estimated impact
Build and maintain the teams reporting set and dashboards
Manage multiple tasks in a fast-paced working environment
Conduct deep-dive analyses with actionable recommendations and conclusions.