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

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: Preference for NYC hybrid, but open to candidates in EST, including LATAM.

Hybrid/Remote | Full-time

Compensation: $140K - $180K

Our client is an innovative financial technology and digital asset infrastructure provider backed by world-class venture investors, including Paradigm and Dragonfly. Driven by a mission to transform how capital moves globally, the organization is pioneering next-generation financial architecture to ensure digital dollars serve as a trusted, accessible, and programmable public good. They develop full-service platforms and advanced stablecoin stacks designed to make issuing, managing, and integrating digital currencies seamless for developers, fintechs, and institutional partners worldwide.

Analytics Engineer

Full-time | On-site

Location: New York

We are a technology company leveraging AI and data to solve complex operational challenges in a life sciences context. We are seeking a highly motivated Analytics Engineer to build the robust data foundation that powers our operations, client reporting, and strategic growth. This is a high-autonomy, high-impact role essential for driving better, faster decisions across the entire organization.

As an Analytics Engineer, you will be the owner of our core data assets and practices. You will ensure data is clean, consistent, and readily available as a source of truth for all internal and external stakeholders, from product to leadership to key clients.

Key Responsibilities:

InfyStrat is seeking a skilled SAP Data Migration Specialist to join our dynamic team. In this role, you will be responsible for planning, executing, and managing data migration projects within SAP environments. You will work closely with various stakeholders to ensure that data is accurately transferred and integrated into SAP systems, following best practices and compliance standards. The ideal candidate should have extensive experience with SAP data migration tools and methodologies and possess a deep understanding of data transformation processes. At InfyStrat, we value innovation and efficiency; your expertise will be critical in enhancing our SAP data management capabilities. If you are passionate about data and SAP solutions, we invite you to apply and contribute to our exciting projects.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for an IS Data Engineer based in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

As an IS Data Engineer, you will play a crucial role in powering data-driven decision-making across the organization. You'll be responsible for building and optimizing robust data pipelines that transform raw data into curated, high-quality datasets for analysts, data scientists, and other business stakeholders. Your work will help automate and streamline the flow of data, ensuring it is both accessible and secure while enabling advanced analytics and machine learning. This is a highly collaborative role that involves working with multiple teams to meet emerging data needs and support business goals through innovative data engineering solutions.

Accountabilities:

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 have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy.

Requirements

• Preference will be given to candidates located in the Plano, TX or Purchase, NY area and are able to be in office on a hybrid schedule

• Support the global Integrated Business Planning (IBP) program to identify and validate data sources to fulfill IBP requirements.

• Identify data sources and partner with business and tech teams to address gaps; check that joining of different data sources generates a meaningful final dataset for a particular use case.

• Perform trend and/or pattern analysis

• Support source to target mapping (STTM)

• Conduct business-facing, data quality rule definition and capture

• Complete data cataloging for assigned assets while adhering to global governance standards