Job Location: Provo, UT
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.
Summary:
We are looking for an analytically minded individual interested in utilizing data to drive business decisions. This person needs to be self-motivated and have the ability to work in an environment where priorities can change quickly and adapt to those changes. Having a team-first attitude is important as we work closely and either succeed or fail together.
In addition to working with a team of 4-5 analysts and the analytics manager you will work with a number of leaders in the organization including the managers of scheduling, workforce planning, and productivity. You will also interact with field leadership and operations executives. Your ability to communicate with anyone across the business from engineers to executives will be key to your success in this role.
Primary Responsibilities:
Operational Initiatives – Our team supports field operations including scheduling, workforce planning, service revenue, and commissions. Some of our current key initiatives include using machine learning to identify revenue opportunities and match those with our field pros, develop and maintain pay scales and incentives, and define key performance metrics and OKRs for the business.
Reporting – We maintain a large tableau reporting portfolio that contains reports supporting our operational initiatives, scorecards, executive level reporting, as well as other reports. Our team’s responsibilities include building and maintaining the tableau reports, building the data infrastructure to ensure our reporting is efficient and accurate, managing permissions and ensuring data security is maintained, and occasionally training other teams in tableau.
- Develop deep understanding of Vivint’s Field Service operations and understand how the various parts of the business work together (sales, customer support, inventory and supply chain, product teams, etc.)
- Understand the business case for our current efforts and help understand tradeoffs, ROI, and strategy implications of potential new initiatives
- Analyze and report on current efforts, with a particular focus on opportunities for increased efficiency and operational success metrics; take responsibility for data integrity and be able to craft and build a narrative of what’s happening in the business
- Help build daily reporting and operational metrics for field service
Required Skills:
Ability to manage projects and meet tight deadlines- In conjunction with business leaders, work on high value initiatives that can be taken or improved using data-driven decisions
- Using a “problem statement” structure, clearly define the desired outcome, including analytic results and resulting actions
- Identify and understand in detail the necessary data to solve the problem and work with IT to solve for any gaps in our current IT infrastructure and data collection efforts
- Ability to be responsive to business needs as they arise and in a time-sensitive manner, navigating occasionally tight deadlines without sacrificing quality or completeness
- Ability to perform tasks with acute attention to detail and a high level of precision
Ability to perform analysis, synthesize findings, and communicate results- Using a variety of methodologies and tools (described below), solve defined “problem statement” with data-driven insights
- Work closely with technical teams to ensure data quality and accuracy, and extract required data
- Identify trends and patterns based on data
- Define ongoing metrics to track and evaluate progress
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Likely methodologies will include:
- Excel-based analysis (e.g., cross-tab analysis, trends, ratios, conversion rates, graphical analysis, etc.)
- Financial modeling (including return on investment)
- Regression modeling (linear, logit, probit)
- Segmentation analysis
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Likely tools will include:
- Microsoft Office (Excel, PowerPoint, Access, including VBA)
- Statistical programs (specifically R and Python, though experience with SAS and STATA or other statistical programing language will be useful; willingness and ability to learn quickly)
- SQL/Snowflake
Required Education/Experience:
- Bachelor’s degree required
- 1-2 years of experience in one or more of the following fields: strategy consulting, economic analysis, predictive analytics, business analytics, data engineering/ETL
- Highly analytical with strong, demonstrated problem solving and critical thinking capabilities
- Ability to communicate clearly and concisely – both in writing and verbally
- “Owner’s” attitude, including a willingness to tackle problems through to solutions and an ability to work both independently and across functions
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.
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