Senior Data Analyst – Measurement, Personalization

🕒 July 14

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Act as and innovate as an internal analytics consultant and data ambassador within the Customer Intelligence team and Marketing leadership • Measure results of the customer relationship program, including A/B tests and pilots • Analyze outputs from personalization models to support a continuous improvement cycle for the models • Perform customer behavior analyses for the Lojas Renner S.A. ecosystem using statistical knowledge and programming • Analyze CRM campaign performance for the project, loyalty, media and marketing efforts, including recommendations to optimize campaign investment and measure results • Collaborate with business teams to define A/B testing frameworks, including measurement models and implementation methodology

🎯 Requirements

• Experience performing analytical processes such as data reading and cleaning, analysis generation and visualization • Strong statistical foundation, with knowledge of sampling, statistical significance and, preferably, causal inference • Build statistical analyses applied to business decision-making • Programming in SQL and Python • Understanding of measurement techniques and hypothesis testing • Present insights and recommendations to business areas using data storytelling • Nice-to-haves: Experience with Customer KPIs; experience analyzing CRM and loyalty campaigns; analyses of LTV, full-funnel, MMM and related methods; knowledge of fashion retail; knowledge of media and marketing

🏖️ Benefits

• Culture of equality • Diversity and multiculturalism • Participation in the team's global events