Senior Data Analyst: Multiple Teams

Lever, Inc.; Schweiz; Remote; CHF 67.000 - 100.000; Vollzeit

Benefits dieser Stelle

Remote work

Unlimited vacation

WFH stipend

Apple laptop

Training budget

Parental leave

Team offsites

Stock options

Zusammenfassung

Lever, Inc. is seeking a Senior Data Analyst to work across multiple teams from a Swiss-based setting. You will analyze user behavior, design experiments, and translate data into actionable product insights, collaborating with data scientists, engineers, and product managers.

You will use SQL and Python (pandas, NumPy) to process large datasets, build dashboards, and monitor metrics, with focus on experiments, funnels, and ML-related data.

Qualifikationen

• Strong analytical and problem-solving skills using data to address business questions.
• Proficient in SQL with experience on large-scale datasets.
• Professional Python data analysis experience including pandas and NumPy.
• Knowledge of A/B testing and core statistical concepts.
• Experience defining and analyzing product metrics, funnels, and trees.
• Understanding of ML pipelines, training data quality, and model evaluation.
• Experience in ecommerce/product analytics a plus.

Aufgaben

• Analyze user behavior and large datasets to uncover patterns and opportunities for improvement.
• Design, run, and analyze A/B tests to evaluate product changes and quantify impact on metrics.
• Define, validate, and monitor metrics capturing user experience and business outcomes.
• Build dashboards and tools to support informed decision-making across teams.
• Translate analytical findings into actionable product improvements across stakeholders.
• Investigate funnels, performance trends, and user behavior for optimization opportunities.
• Apply SQL, Python, and distributed data systems to process and analyze large data volumes.
• Contribute analytical expertise across domains including ML data, ranking, and personalization.
• Communicate findings clearly to technical and non-technical audiences.
• Own analytical projects from problem definition through to recommendations.

Kenntnisse

Analytical thinking

SQL proficiency

Python for data analysis

Experimentation & A/B testing

Metric definition & analysis

Data storytelling / communication

Cross-functional collaboration

Problem-solving

Tools

Pandas

NumPy

Matplotlib/Seaborn

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst: Multiple Teams based in Switzerland.

You will work at the intersection of data, product, and machine learning, helping teams turn complex datasets into actionable business and product insights.
Your analysis will support a range of teams working across data science, ranking, recommendations, personalization, AI-powered shopping, search optimization, and retail media.
You will investigate user behavior, identify opportunities, and evaluate how product changes affect both customer experience and business performance.
A key part of the role will be designing experiments, defining meaningful metrics, and using statistical analysis to guide product decisions.
You will work with large-scale datasets using SQL and Python while building dashboards and analytical tools that make data accessible to decision-makers.
The role offers broad exposure to engineers, data scientists, product managers, customers, and business stakeholders.
You will join a collaborative, fast-moving environment where analytical thinking, ownership, clear communication, and measurable impact are highly valued.

Accountabilities

• Analyze user behavior and large-scale datasets to uncover patterns, identify issues, and surface opportunities for product and business improvement.
• Design, run, and analyze A/B tests to evaluate product changes and quantify their impact on key business metrics.
• Define, validate, and monitor metrics that capture both user experience and business outcomes.
• Build dashboards, reports, analytical tools, and other data resources that support informed decision-making across multiple teams.
• Partner with engineers, data scientists, product managers, customers, and business stakeholders to translate analytical findings into actionable product improvements.
• Investigate product funnels, performance trends, and user behavior to identify opportunities for optimization.
• Apply SQL, Python, and distributed data systems to process, explore, and analyze large volumes of data.
• Contribute analytical expertise across different domains, which may include data science integrations, ranking, recommendations, AI shopping agents, search optimization, personalization, and retail media.
• Help teams understand machine learning-related data, including training data quality, model evaluation, and relevant performance metrics.
• Communicate findings and recommendations clearly, adapting the level of technical detail to different audiences and stakeholders.
• Take ownership of analytical projects from problem definition and investigation through to recommendations and measurable outcomes.

Requirements:

• Strong analytical and problem-solving skills, with demonstrated experience using data to address business and product questions.
• Solid knowledge of SQL and experience working with large-scale datasets.
• Professional experience using Python for data analysis, including tools such as pandas, NumPy, and data visualization libraries.
• Good understanding of A/B testing, experimentation methodologies, and core statistical concepts.
• Experience defining and analyzing product metrics, metric trees, funnels, and other frameworks for measuring product performance.
• Understanding of machine learning pipelines, training data quality, and model evaluation.
• Familiarity with search relevance, ranking, or recommendation systems is a plus.
• Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong communication skills, with the ability to explain complex insights clearly to technical and non-technical stakeholders.
• Comfortable collaborating with multiple stakeholders in a fast-paced, cross-functional environment.
• Ability to work autonomously, take ownership of projects, and proactively identify opportunities to improve products and processes.
• Experience in a customer-facing role is a plus.
• Previous experience in e-commerce or product analytics is a plus.

Benefits:

• Fully remote working environment, giving you flexibility over where you live and work.
• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks per year.
• Work-from-home stipend to help you create an effective home-office setup.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.
• Opportunity to work with talented and empathetic colleagues while contributing to meaningful, high-impact projects.
• Regular team offsite events to connect and collaborate.
• Base salary of $80,000-$120,000 USD, depending on knowledge, skills, experience, and interview results.
• Stock options offered in addition to the base salary.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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