Senior Product Analyst (CX)

Lever, Inc.; Brasil; Teletrabalho; BRL 120 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote

Competitive pay

28 vacation days

Wellness days

Referral bonus

Training reimbursement

English language discounts

Health benefits

Home office stipend

Recognition program

International remote

Resumo da oferta

Lever, Inc. is seeking a Senior Product Analyst (CX) based in Brazil to drive data-informed product decisions and grow our core metrics.

You will own the product metrics framework, investigate anomalies with cross-functional teams, and design and analyze A/B tests from setup to interpretation.

The role combines rigorous analytics with product judgment in a distributed environment and requires strong SQL, Python, Excel skills and a solid statistics background.

Qualificações

• Strong knowledge of mathematical statistics and probability theory with proven experience applying statistical methods to real-world analytical and product problems.
• Hands-on experience using MS SQL, Python, and Excel for data extraction, processing, analysis, and visualization.
• Deep experience designing, running, and analyzing A/B tests with statistical evaluation.
• Strong understanding of marketing and product metrics and their use in evaluating performance and guiding decisions.
• Excellent analytical and problem-solving abilities and the ability to translate findings into actionable recommendations.
• Excellent communication and collaboration with Product, Data Engineering, and leadership teams.
• Proactive, detail-oriented mindset with ownership of data quality and metric reliability.

Responsabilidades

• Own and continuously evolve the product metrics tree with clear definitions and ensure teams understand how their work influences the north-star metric.
• Validate metrics and dashboards and collaborate with Data Engineering to ensure reliable reporting.
• Partner with product leads to investigate fluctuations, anomalies, and changes in performance.
• Conduct ad-hoc research to identify bottlenecks, conversion drops, meaningful segments, and growth opportunities.
• Validate product hypotheses through quantitative analysis and prioritize problems by impact on key metrics.
• Design and analyze A/B tests, including sample-size calculations and minimum detectable effect.
• Define data-tracking requirements for experiments and ensure accurate measurement.
• Maintain an organized archive of experiments with actionable recommendations for future decisions.
• Identify data-quality issues before unreliable information is used for decision-making.

Conhecimentos

Statistical analysis

Data visualization

SQL

Python

Excel

A/B testing

Metrics & analytics

Cross-functional collaboration

Formação académica

Degree in mathematics/statistics/CS/engineering

Ferramentas

MS SQL

Python

Excel

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst (CX) based in Brazil.

This role sits at the heart of product decision-making, using data to uncover opportunities, validate hypotheses, and drive measurable growth.
You will take ownership of the product metrics framework and ensure teams have clear, reliable definitions for the numbers that matter most.
Working closely with Product and functional leaders, you will investigate anomalies, identify bottlenecks, and translate complex data into actionable insights.
You will play a key role in designing and analyzing A/B tests, from experiment setup and statistical validation through recommendations.
The position combines rigorous quantitative analysis with strong business and product judgment in a highly collaborative, distributed environment.
Your work will directly influence prioritization and help teams focus on opportunities with the greatest potential impact.
This is an excellent opportunity for an analytical professional who enjoys turning data into strategic product decisions.

Accountabilities

• Own and continuously evolve the product metrics tree, ensuring that key metrics have clear, consistent, and locked definitions and that each team can understand how its work influences the overall north-star metric.
• Validate existing metrics and dashboards, identify inconsistencies, and create clear specifications for Data Engineering to ensure reliable and accurate reporting.
• Partner directly with functional and product leads to investigate fluctuations, anomalies, and unexpected changes in business and product performance.
• Conduct ad-hoc research to identify bottlenecks, conversion drop-offs, meaningful customer segments, and non-obvious patterns that may reveal growth opportunities.
• Validate product hypotheses through rigorous quantitative analysis and collaborate with Product teams to prioritize problems according to their potential impact on key business metrics.
• Design and analyze A/B tests, including sample-size calculations, minimum detectable effect, experiment duration, randomization splits, and pre-test validation.
• Verify experiment split correctness, perform sanity checks before interpreting results, and report outcomes alongside appropriate guardrail metrics.
• Define data-tracking requirements for experiments, including the events and instrumentation needed to measure results accurately.
• Maintain an organized archive of experiments and ensure every test produces clear, actionable recommendations for future product decisions.
• Proactively identify data-quality issues and inconsistencies before unreliable information is used to make important product or business decisions.

Requirements

• A higher education degree in mathematics, statistics, computer science, engineering, or another relevant technical discipline.
• Strong knowledge of mathematical statistics and probability theory, with proven experience applying statistical methods to real-world analytical and product problems.
• Advanced proficiency in data extraction, processing, analysis, and visualization, with hands‑on experience using MS SQL, Python, and Excel.
• Deep practical experience designing, running, and analyzing A/B tests, including statistical evaluation and interpretation of experiment results.
• Strong understanding of marketing and product metrics, with experience applying them to evaluate performance, identify opportunities, and support strategic decisions.
• Strong analytical and problem‑solving abilities, with the capacity to investigate complex questions, identify meaningful patterns, and translate findings into practical recommendations.
• Excellent communication and collaboration skills, with the ability to work effectively with Product, Data Engineering, and functional leadership teams.
• A proactive, detail-oriented mindset and a strong sense of ownership, particularly when it comes to data quality, metric consistency, and the reliability of insights used for decision‑making.

Benefits

• Fully remote, full-time work opportunity.
• Competitive compensation, with the initial pay level or salary range shared with candidates during the recruitment process and before employment begins.
• 28 calendar days of paid vacation per year.
• 7 wellness days per year that can be used for personal matters, recovery, or time away from work without requiring sick leave.
• Referral bonuses of up to $5,000 for successfully recommending candidates who are hired.
• 50% reimbursement for professional training, international conferences, and professional meetings.
• Corporate discounts for English language lessons.
• Health benefits, including reimbursement of up to $1,000 gross per year per employee when corporate medical insurance is not available, which can be used toward private health insurance or eligible medical expenses for the employee and close relatives.
• Workplace support, including equipment and an equipped workspace where applicable, or reimbursement of up to $1,000 gross once every three years toward coworking costs or home‑office setup expenses such as a desk, chair, or internet.
• An internal gamified recognition system that allows employees to receive rewards from colleagues and exchange them for merchandise, team‑building activities, massage certificates, and other benefits.
• A flexible, international remote environment designed to support collaboration across different locations and working styles.

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