Analytics Engineer at Nua Technology | Torre

Analytics Engineer

You'll engineer data solutions, driving innovation and digital transformation at Nua Technology.
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Freelance
Recurrent (~40 hours per week)
Compensation
USD1.3k - 2.8k/month
Non-negotiable
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Hybrid (Capital Work, Calle 94, Bogota, Colombia)
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Posted about 1 year ago

Requirements and responsibilities


Role Overview: We're seeking an Analytics Engineer with at least 3 years of experience to join our dynamic team. You will be instrumental in designing, implementing, and optimizing data pipelines, analytics solutions, and insightful dashboards. Key Responsibilities: - Develop, implement, and optimize data analytics solutions. - Design, build, and maintain robust data pipelines. - Translate business needs into technical requirements and actionable insights. - Ensure data quality, accuracy, and consistency across analytics systems. - Collaborate closely with data scientists, business analysts, and stakeholders to deliver comprehensive analytics solutions. - Prepare and present clear, actionable reports and dashboards. Mandatory Qualifications: - Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or related fields. - Minimum of 3 years of experience in analytics engineering or related roles. - Proficiency in SQL, Python, and experience with analytics and BI tools (e.g., QuickSight, Tableau, PowerBI, Looker). - Experience in cloud platforms (AWS, GCP, Azure) and familiarity with ETL processes. - Strong analytical, problem-solving, and communication skills. Nice to have: - Experience with big data technologies (Hadoop, Spark). - Familiarity with advanced data modeling techniques. - Experience in Agile methodologies and project management tools. Why Join Us? - Collaborative and innovative work environment. - Opportunities for professional growth and development. - Competitive salary and comprehensive benefits package. - Flexibility to work from home or in-office depending on location.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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