Technical Lead, Analytics

Job not on LinkedIn

🕒 December 10, 2025

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 46%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Lead the architecture and development of analytics solutions, including data pipelines, analytical models, and dashboards • Ensure data engineering best practices, governance, and data quality • Act as a technical mentor for the team, promoting skills development and continuous growth • Collaborate with business stakeholders to understand requirements and translate them into effective analytical solutions • Evaluate and implement new technologies and tools to optimize processes and outcomes • Ensure the scalability, security, and performance of solutions

🎯 Requirements

• Proven experience in technical leadership on Analytics or Data Engineering projects • Proficiency with tools and languages such as SQL, Python, Spark, and Big Data platforms • Knowledge of data architectures (Data Lake, Data Warehouse, Data Mesh) and visualization tools (Qlik, Power BI, Tableau, among others) • Familiarity with data governance, data quality, and security practices • Strong communication skills and ability to collaborate with multidisciplinary teams • Experience with cloud environments (AWS, Azure, GCP) • Advanced English

🏖️ Benefits

• We encourage everyone to participate in our hiring process, regardless of gender, age, race, or religion • We do not tolerate any form of discrimination • We foster a culture of equality and diversity