Senior Data Analyst, Engineer

Job not on LinkedIn

🕒 April 28

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 26%

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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Talent Hub By LS

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Talent Hub By LS is a leading sourcing, recruitment, and training company based in Medellín, Colombia. The company prides itself on offering innovative solutions that transform how businesses find and hire talent worldwide. Their business model is centered on effectiveness, with a commitment to providing clients with 100% successful hiring experiences, whether looking for local or international talent. Talent Hub believes in building strong, lasting relationships based on trust, transparency, and tangible results. Their services include personalized sourcing and recruiting, training in IT recruitment and professional development, and consultancy in hiring strategies. They are well-connected within the ecosystem of development, entrepreneurship, and innovation, enhancing their ability to match top talent from Latin America with global opportunities.

📋 Description

• Design and structure data models optimized for Snowflake • Implement efficient aggregation strategies • Optimize models based on performance and engine behavior • Work on existing pipelines ensuring quality and reliability • Collaborate with the team to deliver scalable solutions • Ensure data consistency and availability for analytics • Understand how data is used across the business • Translate analytical requirements into effective data models • Act as a bridge between engineering and analytics teams

🎯 Requirements

• 4+ years of experience in Data Engineering or Analytics Engineering • Hands-on experience working with Snowflake in production environments • Strong experience in analytics-focused data modeling • Knowledge of: Structuring models in Snowflake • Aggregation strategies • Query and model performance optimization • Experience working with data pipelines • Familiarity with cloud environments (preferably AWS) • Ability to build reliable and scalable data solutions • Strong analytical thinking and business orientation • Effective communication with technical and non-technical stakeholders

🏖️ Benefits

• Flexible working arrangements