About Harvest

Harvest is an industry-leading, independent software company that makes tools to help businesses run more smoothly. We believe that businesses only succeed by using their time intentionally. Our products support our customers through time tracking, reporting, and forecasting features.

Harvest started in 2006 as a team of three and has grown to today’s current team of over 70 with Harvesters working from around the globe. We’ve worked as a remote team since the beginning and we continue to hire the right people for the job no matter where they call home.

We strive to create a workplace culture where everyone feels valued, included, and heard. One important aspect of this is continuing to create spaces for diverse life experiences and work histories. If you are a member of a group that is historically underrepresented and disadvantaged in tech, business, and society in general, we want to meet you and we encourage you to apply.

About the Role

This is an opportunity to join Harvest’s nascent data team (we’re about a year and a half old). In the short term, you will learn about Harvest’s data infrastructure from end to end. Medium-term, you will conduct research, run experiments, and help stakeholders realize their long-term vision. The team is small and there is flexibility in how you can grow as long as you bring kindness, honor time, and seek impact. Leveling for the role will be commensurate with experience.

You should consider applying if:

• You have both a teacher and a student mindset.
• 16 years worth of data excites you.
• You're interested in growing a data practice from the ground up with a small team
• You value a distributed and diverse work culture. Working side-by-side with co-workers from around the world is something you cherish.
• You value simplicity over complexity and practicality over theory.
• You are skeptical, curious, and not afraid of failure.

While we are quite flexible in terms of your experience level and will seek to match you to a level that works for Harvest, we require that you have at least 3 years of direct work experience that you can draw from for this role beyond formal schooling.

Responsibilities

• Munge data, analyze and interpret results to provide both ad-hoc and scalable ongoing reporting
• Gather requirements from stakeholders, understand the intent of their requests along with potential business impact, and guide and execute upon those requests
• Guide your colleagues through the scientific method by designing and leading experiments
• Develop an understanding of how data moves through Harvest
• Build upon Harvest’s logic layer to ensure scalability and accuracy
• Grow in both depth and breadth in order to become a subject matter expert in given technologies and/or parts of the business

• Working knowledge of SQL and at least one scripting language (R or Python preferred)
• Knowledge of experimental design with a focus on AB testing
• Knowledge of statistics, hypothesis testing, and/or probability
• Knowledge of how a relational database works
• Strong written and oral communication
• A desire to learn and grow

Nice to Have

• Experience with SAAS products

When You Apply

Please include responses to the following:

• What excites you about joining a data team in its early stages?
• Why did you apply to Harvest specifically?
• Share with us a recent project involving hypothesis testing and/or probability analysis.