Middle Data Analyst to $2500

Middle Data Analyst (with a Growth Path to Lead)
 

About Us

We’re a fast-growing, product-driven startup.
No heavy bureaucracy, no endless approval chains — instead, you get ownership, speed, and the opportunity to build processes the right way from day one.

We’re looking for someone who is ready not just to “work with reports”, but to actively shape our data culture and grow into a Lead role as the company scales.
 

Who We’re Looking For:

A Middle Data Analyst who:

• Sees the product through the lens of data, business impact, and long-term value.
• Is ready to take ownership of analytical processes and grow into leading the analytics function.
• Feels comfortable in a startup environment, where many things are being built from scratch — and enjoys that dynamic.
• Can collaborate closely with product, engineering, finance, and leadership to drive data-informed decisions.
   

What You’ll Work On:

Build and evolve the analytics ecosystem

• Help design and implement end-to-end analytics infrastructure: event tracking, data warehouse, data models, access layers, standards.
• Contribute to scalable foundations that support rapid product growth.

Predictive analytics & ML prototypes

• Work with product and engineering teams to explore high-impact use cases.
• Build and test prototypes, support integration into the product.

Data pipelines & ETL

• Create, automate, and maintain ETL processes to ensure timely, accurate, and reliable data.

Dashboards & insights

• Build dashboards for product, marketing, finance, and operations.
• Transform raw data into clear insights that influence day-to-day decisions.

A/B tests & experimentation

• Design and analyze experiments.
• Help improve the experimentation framework used across the product.

Finance collaboration

• Work with finance on forecasts, LTV and unit economics models, plans vs actuals, and growth scenarios.

Cross-functional partnership

• Collaborate with C-level and product managers on hypotheses, priorities, and decision-making processes.
   

What We Expect From You:

• 1.5–2+ years of experience in data analytics within product companies.
• Strong experience running A/B tests and working with experimentation methodologies.
• Solid skills in Python, SQL, and analytics automation.
• Experience with GTM, GA4, Amplitude, or similar tools.
• Understanding of product metrics:
  retention, conversion funnels, cohort analysis, LTV, CAC, unit economics.
• Experience working with BI tools (Tableau, Looker, Power BI, etc.).
• Ability to turn complex data findings into clear recommendations for non-technical stakeholders.
• Proactive mindset with focus on outcomes and willingness to grow into a Lead role.
   

Nice to Have:

• Experience building analytics systems or migrating to more scalable setups.
• Experience with B2C SaaS or subscription-based business models.
• Familiarity with predictive analytics, machine learning approaches, or advanced statistical models.