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 multiple Fortune 500 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 global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large-scale batch and real-time data pipelines that power enterprise data and analytics platforms.

You will work closely with Agile engineering, architecture, and product teams to build reliable, scalable data solutions spanning data ingestion, transformation, orchestration, event streaming, and downstream data delivery. The ideal candidate is someone who enjoys solving complex data engineering problems and building highly available systems that operate at enterprise scale.

Key Responsibilities:

About Us

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. And today, the data we extract helps thousands of organisations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About Customer Operations

Customer Operations is the function responsible for the end-to-end operational success of Zyte’s client base, from the moment a customer signs to the ongoing health and performance of Zytes services. The team sits at the intersection of client relationship management, technical delivery and operational excellence. The Service Delivery Manager role sits in the second of these tracks, working closely with the Project Manager team as well as Tech, QA, Product and Commercial teams across the business.

The Service Delivery Manager is the single point of accountability, within their portfolio, for client operations at Zyte, bridging the gap between customer needs and technical delivery. By owning the full service relationship — from day-to-day operations to escalations and KPIs — the SDM ensures reliable, high-quality data services while driving the consistency and trust that underpin long-term client retention.

Tiger Analytics is a leading advanced analytics consulting firm specializing in AI and machine learning. We are recognized as the trusted analytics partner for several Fortune 100 companies, enabling them to generate significant business value from their data. Our team combines industry expertise with data science skills to deliver comprehensive analytics solutions.

We are on a mission to build the best analytics consulting team, and we are currently looking for a specialized Salesforce Developer to join our dynamic team. In this role, you will be the driving force behind our marketing automation and integration efforts. You will focus primarily on designing, building, and supporting complex architectures within Salesforce Marketing Cloud (SFMC) and ensuring seamless data flow between our front-end applications, CRM, and external platforms.

Key Responsibilities

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

Do you love working with multi-disciplinary teams and stakeholders across a wide range of functions to implement and solve data engineering challenges? Are you equally skilled at delivering simple solutions to complex problems and consistently delivering on time? 

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and infrastructure that deliver reliable, high-quality data to teams across the organization. You will work closely with business stakeholders to ensure our data warehouse is accurate, well-documented, and scalable as the business grows.

What you'll be doing:

About Us

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. And today, the data we extract helps thousands of organisations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About Customer Operations

Customer Operations is the function responsible for the end-to-end operational success of Zyte’s client base, from the moment a customer signs to the ongoing health and performance of Zytes services. The team sits at the intersection of client relationship management, technical delivery and operational excellence. The Service Delivery Manager role sits in the second of these tracks, working closely with the Project Manager team as well as Tech, QA, Product and Commercial teams across the business.

The Service Delivery Manager is the single point of accountability, within their portfolio, for client operations at Zyte, bridging the gap between customer needs and technical delivery. By owning the full service relationship — from day-to-day operations to escalations and KPIs — the SDM ensures reliable, high-quality data services while driving the consistency and trust that underpin long-term client retention.

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $300K - $375K

Our client, a premier venture accelerator backing high-growth technology and emerging-tech startups, is seeking an experienced and self-directed Senior Machine Learning Engineer to join their in-house engineering team in New York City.

Reporting directly to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer will take full ownership of features throughout the product lifecycle—from requirements definition to production deployment. This onsite role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.

Key Responsibilities

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $250K - $350K

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. Having backed over 300 high-growth startups now collectively valued in the tens of billions, our client provides an exceptional launchpad for high-impact innovation.

In this role, the candidate will report directly to the Chief Technology Officer and take full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems. This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self-directed builder who thrives in a fast-paced, high-agency environment without requiring extensive product management or dedicated platform engineering support.

Key Responsibilities

Location: Remote - Europe preferred, must be able to work European hours

Remote | Full-time

Compensation: $120K - $150K

Our client is a dynamic, forward-thinking, fully remote organization with an ambitious roadmap and a strong commitment to engineering excellence.

Seeking a Senior Fullstack Engineer to work at the intersection of frontend and backend development. In this role, the engineer will build and maintain both a React-based trading user interface and the TypeScript backend services that power high-performance trading platforms. The position involves full feature ownership—from crafting responsive, real-time interfaces to designing the APIs, data pipelines, and indexing solutions that feed them.

The ideal candidate possesses a strong passion for trading, engineering rigor, security, and velocity, backed by over six years of professional experience and a dedication to code quality and state-of-the-art software testing practices.

Key Responsibilities

Frontend Development & Performance

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Analyst / Senior Analyst to support a large-scale enterprise data governance program with one of our leading clients.

Responsibilities:

• Document data lineage from Tier 1 consumption points through analytical data stores to systems of origin, capturing findings in the client's preferred tooling.
• Support the design, development, and deployment of ADS components, data pipelines, and data quality controls (DQ rules, variance analysis, anomaly detection, comprehensiveness checks) on GCP.
• Contribute to data modeling and target-state landscape design, support SME interviews, and work closely with engineering teams and business data office stakeholders day-to-day.
• Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership.
• Bridge business and technical requirements by translating insights from the business data office into actionable engineering tasks.

Requirements

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.