Go-To-Market Data Analyst

Job Description

Description

Propeller is on a mission to take the guesswork out of moving dirt - reducing wasted fuel, time, and money. We do this through the power of maps.

Our customers use Propeller’s integrated hardware and software products to capture accurate 3D versions of their worksites using drones. With over 45,000 worksites worldwide using Propeller’s smart survey technology, we empower project teams to map, measure, and manage site activity.

Propeller empowers everyone to approach, own, and solve problems creatively. We’re data nerds who care about impact, honesty, and each other. We take pride in being a great place to work and are proud to be recognized as a Fast Company and BuiltIn Best Place to Work. You can learn more about us on Glassdoor.

Your Mission

As the Go-To-Market (GTM) Data Analyst, your mission is to take a data-driven approach to uncover revenue opportunities within our existing customer base and prospective customers. This will have a direct impact on Propeller’s revenue growth. You’ll use customer and platform (product) data as your compass to navigate new opportunities for driving expansion and new logo revenue. You’ll partner closely with both GTM and Product and Engineering (P&E) teams to make these happen.

By discovering, scrutinizing, and integrating GTM data into our tools, procedures, and workflows, while equipping our teams with actionable insights, you will empower us to enhance GTM and P&E efficiency. This will allow us to conduct experiments more swiftly, validate hypotheses with data, and transition from spreadsheets to a more refined revenue optimization strategy.

Your mission is not just to find and analyze data, but to translate your findings into tangible actions that drive measurable results across important strategic initiatives that affect Propeller’s future growth and success.

What's our team all about? Learn more here.

Key Responsibilities:

Data Analysis and Insights:

Utilize SQL and other data analysis tools to extract, manipulate, and analyze large datasets from diverse sources including customer product usage, user behavior, and sales/marketing activities.

Proactively identify trends, patterns, and anomalies in the data to uncover revenue opportunities and drive business growth.

Collaborate cross-functionally with various GTM and P&E teams to develop actionable insights and recommendations based on data findings and project goals.

Data Infrastructure and Integration:

Embed GTM data back into our data warehouses and platforms, ensuring seamless integration and accessibility for a cross-functional group of stakeholders.

Work closely with our data engineers and core applications team to optimize data pipelines and implement best practices for data governance and integrity.

Explore opportunities to automate data gathering and analysis processes and streamline reporting mechanisms to enhance operational efficiency.

Strategic Alignment and Execution:

Partner with sales, marketing, and product teams to align data initiatives with overall business objectives and revenue targets.

Evaluate the effectiveness of current strategies and propose innovative approaches to leverage data for driving Annual Recurring Revenue (ARR) growth, including new and expansion revenue.

Develop frameworks for utilizing data insights to personalize sales and marketing efforts, such as routing leads directly to the appropriate salesperson or segmenting email campaigns based on user behavior.

Continuous Learning and Development:

Stay abreast of industry trends, emerging technologies, and best practices in revenue operations and data analytics.

Act as a subject matter expert on data-related topics, providing guidance and support to team members as needed.

Actively participate in training programs and professional development opportunities to enhance technical skills and domain expertise.

Qualifications:

1+ years of experience in a role using SQL and proven proficiency with data analysis tools such as Python, R, or Tableau. You have a strong understanding of data management principles and experience working with data warehouses.

1+ years of experience in revenue operations, customer operations, data analytics, or a similar role, preferably at a SaaS company.

You understand the end-to-end processes of a sales funnel, and how those processes support closing, expanding, and retaining Annual Recurring Revenue (ARR).

You have a background in Construction Technology. Ideally, you possess an understanding of why civil construction, mining, landfill, and aggregate companies purchase software to map, measure, and manage their projects.

The ability to flex in your work and your mindset as priorities change and new initiatives take shape that require your ownership or involvement. You operate successfully with details and with ambiguity.

Excellent communication skills with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders.

Self-starter mentality with a curious mindset and a passion for uncovering insights from data.

Ability to thrive in a fast-paced, collaborative environment and effectively manage multiple priorities and stakeholders.

Why Join Us:

Opportunity to significantly impact revenue growth and business strategy by harnessing the power of data.

Collaborative and supportive team environment where your ideas and contributions are valued.

Continuous learning and development opportunities to enhance your skills and advance your career.

Competitive compensation package including salary, benefits, and performance-based incentives.

Exciting challenges and projects that will keep you engaged and motivated to achieve your professional goals.

Benefits

Fully paid employee United Platinum PPO medical, dental, and vision coverage

20 days paid vacation time per year with no accrual or carryover cap

Employee share options

Professional development budget and leave

The opportunity to take part in our mentorship program

Monthly telephone and/or internet allowance

Paid primary & secondary parental leave policies

Hybrid work arrangements and WFH equipment provided

The estimated salary range offered for this role is $90,000 - $105,000. This range is tied to the market for this job in Colorado. Any salary offer extended will be based on skills, knowledge, and experience.