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.

Azumo is looking for a highly technical and hands-on DevSecOps Engineer / Security Solutions Lead to own and strengthen the security posture of our platform, infrastructure, and AI-driven systems.

This is a proactive, operationally-focused role—not just policy work. You will actively secure systems, remediate vulnerabilities, and collaborate across engineering and compliance to ensure continuous resilience. Working in a remote-first, high-trust engineering culture, you will join us as we scale rapidly following our Series A funding to power the future of modern financial infrastructure.

Location: Remote Latin America

In this role, you will secure and improve the systems that power our FinTech ecosystem while also serving as a key representative of our security program during customer and partner due diligence processes.

Key Responsibilities

Security Engineering & System Hardening

● Secure and harden cloud infrastructure, applications, APIs, internal systems, and operational workflows. · Implement and maintain security controls across production environments, CI/CD pipelines, cloud infrastructure, and internal tooling.

● Work directly with engineering teams to remediate vulnerabilities and improve secure development practices.

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

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 a Sr. Solution Architect with extensive experience in data architecture, cloud services (Azure preferred), and AI-driven solutions. This role focuses on designing scalable, secure, and high-performance data and AI solutions, collaborating with cross-functional teams, and ensuring best practices in data governance and security.

Responsibilities:

• Design and implement scalable cloud-native solutions on Azure, ensuring security and performance.
• Architect end-to-end data solutions, integrating data sources, processing systems, and AI/ML platforms.
• Build conceptual & logical architectures for data-driven programs.
• Provide guidance on data pipelines, ETL/ELT workflows, and data integration.
• Implement data governance frameworks, ensuring data quality and compliance.
• Collaborate with stakeholders to understand requirements and deliver innovative solutions.
• Mentor team members and provide technical guidance where needed.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.

You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.

Key Responsibilities

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering 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 Senior Solutions Architect – Snowflake to lead the design and delivery of modern cloud data platforms that empower organizations to make data-driven decisions. In this role, you will partner with clients to understand complex business challenges, architect scalable and secure Snowflake solutions, and drive enterprise data modernization initiatives.

Requirements

AS A SNOWFLAKE SENIOR SOLUTIONS ARCHITECT, YOU WILL :

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.

Gritter Francona is looking to hire a Data Technician to support a contract with the Veterans Affairs.

A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead.  This position is part of a team requiring daily interactions in a collaborate environment.

Key Responsibilities:

• Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information.

• Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems.

• Reporting and Analysis: Generating reports and extracting insights from data for operational use.

• Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies.

Requirements

• High school diploma or GED
• Familiarity with databases
• Ability to manage time and prioritization of tasks as a high level
• Ability to communication effectively with managers and customers
• Experience with tools such as ServiceNow, GitHub, Jira etc

Gritter Francona is looking to hire a Data Technician to support a contract with the Veterans Affairs.

A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead.  This position is part of a team requiring daily interactions in a collaborate environment.

Key Responsibilities:

• Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information.

• Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems.

• Reporting and Analysis: Generating reports and extracting insights from data for operational use.

• Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies.

Requirements

• High school diploma or GED
• Familiarity with databases
• Ability to manage time and prioritization of tasks as a high level
• Ability to communication effectively with managers and customers
• Experience with tools such as ServiceNow, GitHub, Jira etc