About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate, and govern end-to-end ML production lifecycles—spanning continuous integration and deployment (CI/CD/CT), central governance, and real-time observability. You will act as the principal technical authority, bridging platform engineering with client-side operations by leading upskilling initiatives for onsite engineering teams.

Requirements

About Zyte

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. Today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is looking for a Head of IT to lead our internal technology function into the AI era. This is emphatically not a helpdesk-manager role: at Zyte, internal IT is an engineering and enablement discipline. You will own the systems the whole company runs on: our business applications, the integrations and automation that connect them, our identity and security backbone, and, front and center, the internal AI tooling that is changing how every Zytan works.

About Zyte

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. Today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is looking for a Head of IT to lead our internal technology function into the AI era. This is emphatically not a helpdesk-manager role: at Zyte, internal IT is an engineering and enablement discipline. You will own the systems the whole company runs on: our business applications, the integrations and automation that connect them, our identity and security backbone, and, front and center, the internal AI tooling that is changing how every Zytan works.

About Zyte

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. Today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is looking for a Head of IT to lead our internal technology function into the AI era. This is emphatically not a helpdesk-manager role: at Zyte, internal IT is an engineering and enablement discipline. You will own the systems the whole company runs on: our business applications, the integrations and automation that connect them, our identity and security backbone, and, front and center, the internal AI tooling that is changing how every Zytan works.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

About the Role

We are looking for a Director of Software Engineering (Full-Stack) to lead multidisciplinary engineering, QA, and content teams while overseeing the delivery of enterprise-scale digital platforms powered by Adobe Experience Manager (AEM). The role is responsible for delivery governance, technical leadership, stakeholder management, and ensuring high-quality digital experiences across multiple markets.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking a highly skilled Tableau Subject Matter Expert (SME) to lead our data visualization strategy. You will design, develop, and optimize complex, high-performance Tableau dashboards. As the SME, you will establish best practices, govern server architecture, and mentor internal teams to foster a data-driven culture.

Requirements

Key Responsibilities

The Finance Director will lead the financial strategy required to achieve Final Investment Decision (FID) and secure long-term financing for a multi-billion dollar nuclear new-build project.

The role is accountable for coordinating the total cost estimate, ensuring cost credibility at AACE Class 2/3 level, structuring the financing plan (ECA-backed and sovereign-supported), and establishing robust governance of project financial risk, contingency, and exposure management. This position ensures that cost, risk, schedule, and financing are fully integrated into a lender-grade and regulator-credible investment case.

Key Responsibilities

1. Secure Project Financing and Funding Strategy

• Lead the definition and execution of the financing roadmap up to FID
• Structure and coordinate funding solutions including Export Credit Agency (ECA) backed financing, sovereign guarantees, state support mechanisms, and commercial debt.
• Support negotiations with international ECAs, commercial lenders, financial institutions, and government stakeholders.

2. Financial Model Ownership (Bankability and LCOE Alignment)