*When I Work is a remote first company. We are open to hiring candidates in the continental US and Ontario, Canada. If an onsite location is important to you in your search, you are welcome to work from our Minneapolis HQ office.

Who We Are

We help hourly teams get shift done.

At When I Work, everything we do starts with a mission to make shift work awesome. We deliver on that mission by making every piece of hourly workforce management - scheduling, time tracking, shift trading, team messaging, and more - easy and straightforward for managers and employees alike.

When I Work is a company that runs on data. We pride ourselves on fostering a world class data environment that supports efficient, scalable insights that drive our company forward and support our customers. We have built an exceptional data team over the last four years and are looking for an individual to continue to support and advance the Analytics and Data Science pillar. You will be a key leader in maturing and promoting data practices throughout our organization. You will be directly managing our team of data scientists and analytics engineers as well as leading key strategic data projects in cross-functional collaboration with teams across the organization. As such, you must be someone who can navigate between complex technical topics and strategic problems to work cohesively with many teams at once and deliver business impact.

What You’ll Do

Lead a world-class team of data professionals and foster a constructive and collaborative work space.
Own company-wide metrics and KPIs including the analytics roadmap.
Oversee major initiatives related to business intelligence, experiment & metric design, predictive modeling, and machine learning that enable the use of data-driven decision-making throughout the company.
Interface with key partners across Product, Finance, and Growth to interpret results and drive strategic business decisions.
Continue to promote and champion self-service data access that empowers everyone in the company to derive their own insights and practice good quantitative decision making on a day-to-day basis.
Continuously advocate for quality over quantity in how the company uses and consumes data to keep the company focused and flexible as it grows.

Who You Are

As an Analytics Manager, you will be guiding, coaching, and leading a technical team that is building the analytical backbone of our GTM across a platform that millions of hourly employees and managers use to work better together. You will work on everything from developing analytics & data science talent, driving actionable insights to shape sales & marketing programs, designing & guiding product experiments, and developing a robust business intelligence layer for our leadership team.

Experience and Skills Needed

Management experience leading analytics and data science teams that interface with non-technical teams.
Expertise in SQL (Presto/Athena flavor preferred but not necessary) and Python
Fluency in ETL processes & tooling (Airflow), data modeling, data visualization, and data integrations with Marketing & CRM tooling
Familiarity with AWS or similar computing environments and infrastructure. Comfortable with containerization and containerized workflows (e.g. Docker).
Familiarity with data warehousing solutions (e.g. Redshift) and experience setting up business intelligence & reporting layers
Strong understanding of experiment design, set up, measurement and execution (e.g. product A/B testing)
Strong problem solving skills with demonstrated rigor in analyzing data; proven experience using data to solve critical and complex questions
An explorer - someone who loves to think through problems and come up with solutions to those problems; an innovative thinker
Life-long learner - always looking for ways to expand their individual toolbox with interests in attending development conferences, additional training on core business systems, etc.
Strong people management and leadership skills
Excellent written and verbal communication skills - can communicate complex ideas to audiences from a wide variety of backgrounds and levels of technical expertise
A self-starter who can work autonomously, make sound independent decisions, while being able to efficiently manage time and multiple projects simultaneously

What Would Be Awesome To Have

Advanced STEM degrees are preferred
Prior SaaS working experience and an understanding of SaaS metrics and KPIs.
Degree in a quantitative field like statistics, economics, applied math, operations research or engineering.
Prior exposure to ETL tools such as Hightouch, DBT, and/or Prefect
Deep experience with business intelligence tools (e.g. Tableau, Looker, PowerBI) and streaming analytics experience
Experience with financial data (e.g. Stripe) that feed revenue ETLs and reporting
Familiarity with experimentation infras (LaunchDarkly, Statsig) and product analytics tooling (Mixpanel)

What’s In It For You

Professional development allowance
Dental Care & Extended Healthcare Coverage paid by When I Work
Enhanced paid parental leave
Paid vacation and holidays
Flexible work environment
RRSP Match
Remote first culture including home office set-up stipend and ongoing telecommuter stipend
Casual dress code
Dynamic and dedicated team

We believe actions speak louder than words. Every encounter with our people and products should be memorable and helpful. Challenges are exciting, failure is how we learn, and we all have an entrepreneurial spirit. Building an inclusive and equitable workplace isn’t lip service. We invest our time and our money in organizations that are not only working to diversify the current jobscape, but also investing in the future of talent. We’re motivated by a strong, innovative, and passionate work culture and we’re constantly searching for ways to improve and get shift done.

Whether you’re a perfect match or not, if it sounds like a good fit, we encourage you to apply.

The tech industry is notorious for its lack of diverse representation, and we're aware of the research showing that historically underrepresented groups are less likely to apply to a job if they don't believe that they meet all of the criteria. Are you hesitant to submit an application because you're not sure if you check every box? Apply anyway! We would love to hear from you and figure out what you can add to the culture here at When I Work.

We’d love to talk to you! Please submit the following to apply:

Resume (including months/years of employment for each position).
Cover letter including:

an overview of your existing experience
a convincing reason why you’d like to work at When I Work.

*Must already be authorized to work in the United States or Canada on a full-time basis for any employer.

Manager, Analytics