Systems Analyst Associate
Systems Analyst Associate
San Francisco, CA
$100,000 - $150,000 base
Full-time / Onsite (5 days/week)
Application Requirements
Your cover letter should give clear examples of the following:
- An instance in which you demonstrated an exceptional work ethic
- An instance in which you demonstrated a willingness to do work that others thought was menial in order to win
- An instance in which you demonstrated honesty despite it not being in your immediate best interest
Your application must include an undergraduate transcript (with course list) in order to be considered.
Your application must include standardized test scores (e.g., SAT or ACT)
About The Role
We're looking for an ambitious, curious, and detail-oriented individual to join the fastest growing team at Mochi in overhauling and massively expanding the company’s services and offerings. In this role you will work with experienced founders and people from diverse technical backgrounds – you will work day to day with and report directly to senior leadership. You will be responsible for analyzing data, communicating clear and concisely both internally and externally to pharmacists and providers, and preforming deep research. You must make data-driven decisions to optimize for long term goals.
What You’ll Do
- 0-2 years of work experience
- Work with engineers, designers, data scientists, and operations teams to solve exciting problems
- Own strategies and work with senior leadership to execute
- Coordinate with internal teams to implement and deploy new high impact products and features
- Read, summarize, and organize
- This is not 9 to 5 job – this is an opportunity to work very hard, learn a lot, and develop skills that will serve you well later in life
- This is not an opportunity to focus on work life balance
Who You Are
- Bachelor's Degree in STEM
- Degrees in Hardware Engineering, Mathematical or Financial Systems, Hard Sciences, or degrees with focus on Lab/Projects are a plus!
- Experience seeing a project through from fruition
- Experience with technical tools like Python/SQL/Excel
- Skills using AI tools is encouraged, but baseline comfort with technical software is required – pure vibe coding will not be sufficient
- A strong communicator who thrives in a fast-paced, collaborative environment
- Live a commutable distance to our San Francisco HQ
Life at Mochi 💫
At Mochi, we believe your best work happens when you feel your best—so we’ve designed an environment that fuels your creativity, supports your growth, and makes every day exciting.
🥗 ALL MEALS CATERED – five days a week, breakfast lunch and dinner professionally catered. On-site Barista for unlimited espresso/matcha bar.
💰 Transport on Us – Transportation benefits to make commuting painless
💣 Profitable & Explosive Growth – Our growth is like trying to drink from a firehose while riding a rocket, as we commit to decisions that ensure long-term success, stability, and the well-being of our team and customers—all without the constraints of VC funding.
🚀 High-Impact Work – Be part of shaping the future of digital healthcare during an exciting period of growth and innovation.
👩💻 World-Class Team – Join a team of ex-Tesla, Citadel, SpaceX, Harvard, Princeton, Yale, Dartmouth, IIT across engineering, product, clinical, operations, and beyond—each bringing excellence and empathy to the table.
✨ All the Standard Bits –401(k) match, unlimited PTO, fully covered life insurance, super primo medical dental and vision for our injury prone team.
💸 Competitive Compensation – We offer a top-of-market salary and a generous equity package—because you deserve to share in the upside you help create.
📍 Prime Location – Our vibrant downtown San Francisco HQ is just steps from public transit, great coffee shops, and everything the city has to offer.
The base salary for this full-time position ranges from $100,000 - $150,000 in addition to benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.