Job Description

Our mission is to redefine the home experience with tech and services to create a smarter, greener, safer home that saves our customers money every month.

Role Summary:

As an Analytics Engineer on our Analytics Engineering and Data Warehousing team, you will be responsible for developing the core service that provides data to the entire enterprise. You will be responsible for building the data models that form the basis of our most important operational and strategic data-driven decisions. Working closely with our internal business teams, you will build and help maintain a data warehouse platform that provides timely, accurate, and reliable data to thousands of users.

Primary Responsibilities:

• Build relationships with data analytic teams and business leaders to understand their goals, initiatives, and the data solutions they need.
• Help design, build, and maintain an enterprise data warehouse platform with its associated data models and data transformation pipelines.
• Implement best practices and innovative solutions to provide timely, accurate, & reliable data.
• Help in implementation of a high performing data warehouse platform (Snowflake) servicing thousands of users and a broad set of use cases.
• Constantly evaluate and optimize deployment of data architecture to achieve greater efficiency and reliability.

Required Qualifications:

• Must have a passion for data and helping the business turn data into information and action.
• 1+ years of professional data modeling and data warehousing development experience (SSIS, dbt, Matillion, or similar).
• Strong professional experience with complex SQL and the principles data warehouse design.
• 1+ years of professional experience with cloud data warehousing technologies (Snowflake or Redshift).
• Ability to initiate, design, and deliver robust data solutions.
• Ability to communicate effectively with business leaders and engineers to focus on the highest impact opportunities.

Required Education:

• BA/BS or higher in Computer Science, Information Systems, Math, other technical field, or relevant work experience.
   

Nice-to-Have Experience:

• 1+ years of professional experience with Git and code reviews.
• Experience with Tableau or similar data visualization tool.
• Experience with AWS or Azure product offerings and platform.
• Experience with SSIS.
• Knowledgeable in scripting languages (python, .net, R, etc).
• Experience with MPP systems.
• Experience with SFDC, Five9, Genesys, or Workday data.
   

Learn about the Vivint Culture and why it’s a great place to grow your career!

Here are some highlighted perks you should ask us about:

• Free daily lunch and drinks on site
• Paid holidays and flexible paid time away
• Employee/Friends/Family Discounts
• Onsite health clinic, gym, gaming tables
• Medical/dental/vision/life coverage & 24/7 Medical Hotline
• 401(k) + Employer Match
• Employee Resource Groups

WORKING CONDITIONS: 

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

SAFETY:

Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment.  Each new employee is responsible for completing all training requirements.  Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public.  Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues.

If you are an active Vivint employee, please apply through Workday by searching "Find Jobs".