Data Analyst

No one wants to feel like just another number—especially when they need help with an urgent issue at work.

But, in a world where we can connect with family, friends, our favorite brands, and sometimes even celebrities on-demand, most service providers still ask users to drop what they’re doing, look for contact information, and choose one of two support options: bad, or worse. Either call a 1-800 number and sit on hold, or email [help@turnitoffandonagain.com (mailto:help@turnitoffandonagain.com) and wait for a reply.

At best, the user’s real-time request for help turns into [Ticket: #####] in the queue; and, in an industry where service is the product, the provider signals quite clearly which customer will always matter most: “Next in line.”

At Thread, we’re on a mission to help IT service providers turn users’ worst workdays into moments of magic. We’re a VC-backed startup built by high-performance technologists with fundamental passion for service. Our heroes are people who feel most alive when doing what they’re great at in service of other people*.* We believe every thread is a call to adventure, and nothing delights us more than helping our partners deliver delightful service experiences that brighten user journeys.

The Role:

The Data Analyst is a linchpin of Thread’s data & insights team, responsible for turning our Snowflake data warehouse into actionable intelligence for both internal teams and customers. Your mission is to administer and optimize Snowflake, design data models that support reporting, and build dashboards for two audiences:

1. Internal reports that help Thread’s teams make better decisions, and

2. External embeds — secure dashboards delivered directly inside our SaaS application so customers can explore their own data without leaving the product .

This role is an opportunity to have outsized impact at a fast‑growing startup where every table you create, query you optimize, or visualization you embed directly shapes how partners leverage Thread.

What You'll Do

• Run our Snowflake environment – manage and monitor virtual warehouses; tune performance; manage backups and access controls; and document system configurations.
• Design secure data models – build tables, views and schemas; implement role‑based access control; and craft snowflake schemas for analytics .
• Orchestrate data integration – develop and monitor ETL pipelines; integrate SaaS and internal data sources; and ensure data integrity across systems .
• Deliver dashboards and reports – build interactive visualizations using Omni.co, crafting intuitive dashboards that bring key performance insights to life. Partner with stakeholders to define metrics, measure adoption, and continually refine the experience based on real-world feedback.
• Build external embeds – collaborate with product and engineering to seamlessly embed Omni dashboards directly into our SaaS application. Ensure secure, performant access with row-level security and intuitive navigation so customers can explore their data without ever leaving the platform.
• Collaborate cross‑functionally – translate business questions from CS, marketing and product into data requirements; present findings clearly; and coach team members to self‑serve their analytical needs.
• Drive continuous improvement – stay current on Snowflake best practices and BI trends; recommend improvements to performance and security; and help shape our data governance strategy.
• Build insights for Vitally.io – design and optimize SQL queries that feed our Customer Success Platform. Partner with CSMs and Sales to identify the metrics that matter most, ensuring our Vitally dashboards accurately reflect customer health, adoption, and engagement trends.

What You Should Have

• 3–5 years of experience in data analysis, BI or data engineering with a focus on Snowflake or similar cloud warehouses.

• Advanced SQL skills for DDL/DML operations and query optimization, plus working knowledge of data modelling and schema design.

• Hands‑on experience building and managing ETL pipelines, connecting diverse data sources, and ensuring data quality.

• Proficiency with at least one modern BI platform (Power BI, Tableau, Looker, Sigma), and comfort designing dashboards for both internal and external audiences.

• Familiarity with scripting languages like Python or R for data manipulation and automation .

• Strong communication and collaboration skills — able to translate complex data into clear business insights and partner with cross‑functional teams.

Bonus Points For:

• SnowPro certification or equivalent Snowflake credentials.
• Experience in the managed service provider (MSP) channel.
• Experience with Omni.co embedded analytics or similar BI platforms.
• Knowledge of AWS services.

What We Offer:

• Competitive salary and benefits
• Opportunities for growth within the company
• A collaborative and innovative work environment