Senior Data Analyst

We are recruiting to fill the position below:

Job Title: Senior Data Analyst

Location: Remote

About the role

• The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement.
• This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives.
• Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales.

Key Responsibilities

• Work closely with product managers, business, development, and data engineering teams to guide the sales, marketing, and growth team in problem discovery, monitor and give visibility of product metrics and KPIs.
• Own end-to-end everything analytics related to Marketing and Growth Product: product development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
• Build robust relationships with stakeholders, acting as a strategic and supportive link between the technology, business, and product.
• Translate product and business questions into analysis and actionable insights.
• Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.
• Develop and maintain scalable and self-service visualization tools and dashboards.

Qualifications

• Excellent spoken and written English
• Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
• Knowledge of visualization tools like Tableau, Looker, and others
• Experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks
• Excellent SQL skills - tested during the process
• 3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies/industries (tier 1 consulting firms, investment banking, or tech companies with heavy use of programming).
• Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights

Additional skills:

• Data Science
• Analytics
• Customer Success.
• Marketing
• Design
• Product management

What we can offer you

• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.

How to Apply
Interested and qualified candidates should:
Click here to apply online

What to expect in the hiring process

• A preliminary phone call with one of our recruiters.
• A behavioral and technical interview with a member of the Executive team.
• A panel interview with a member of the hiring team.