Enterprise Analytics Engineer

Summary

Join ModSquad's Enterprise Applications team as an Enterprise Analytics Engineer and leverage your data expertise to architect and utilize data. This role demands strong collaboration with team members and other departments. You will drive the implementation and improvement of data connections, analytics best practices, and ETL processes, centralizing company cloud data into Snowflake. You'll create a common data framework and collaborate with various teams to build a data-enabled roadmap. The position requires significant experience in data architecture and hands-on experience with specific technologies. The company offers a flexible work-from-home arrangement with competitive salary and benefits.

Requirements

• Bachelor’s Degree or equivalent experience in high level data and analytics architecture, engineering, and development
• Minimum of 8 years experience in roles involving data architecture and practical use
• Experience with a high growth company using on-demand (SaaS) transactional systems
• Hands on experience with Python, SQL and relational databases
• Significant experience with Snowflake
• Strong knowledge and practical experience with ETL systems like Matillion
• Must have experience with modern analytic and data visualization tools such as Thoughtspot or Sigma
• Share and work in accordance with our values
• Must be able to work in alignment with America’s time zones
• Excellent time management and organizational skills
• A real “MacGyver” when looking at solutions; truly understanding how out of the box thinking can deliver spectacular results with the incredibly flexible systems and processes we have in place
• Strong sense of personal accountability and the ability to work independently
• Ability to communicate expertly with and influence clients, colleagues, direct reports, and cross-functional stakeholders while working collaboratively
• High EQ and a sense of humor are required

Responsibilities

• Drive the implementation and continuous improvement of our data connections, analytics best practices, and ETL processes
• Centralize the Company’s cloud data into Snowflake and facilitate modeling to support data analysis requirements from all functional groups of the company and its clients
• Create a common data framework and glossary so all company and client data can be analyzed in a unified manner
• Work with the product, operations, and executive management teams to create a data-enabled user and client roadmap that clearly defines roles and responsibilities while bringing all teams into our collaborative data programs
• Collaborate with Sales, Marketing and Services leadership to support our external client base needs
• Create and execute a plan to develop and mature our ability to measure and optimize usage growth, aligned with our user and client roadmap
• Ensure all transactional systems can communicate with our modern data tech stack and that production data adheres to a unified data model
• Collaborate with all functions of the company to address data needs and make required data available to analysts and end-users
• Build a multi-modal service model that meets the non-homogeneous needs of our functional groups, from full service to self service, across our data stack

Preferred Qualifications

Experience with one or more of CRM, ERP, HCM, GTM, and WFM analytics is highly desirable

Benefits

• Work with an extremely talented team of colleagues serving a highly visible group of clients
• A company culture that values exceptional performance and people skills
• Being part of an award-winning growth company scaling across the globe
• The flexibility of working from home with competitive salary plus benefits