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N-iX is looking for a prospective and ambitious Data Analyst to join our team. Responsibilities: Build data models, create compelling visualizations, reports, dashboards; Implement and adopt various reports and dashboards using Looker; Working with data modeling, developing visualizations, data migrations, and performance optimization; Being able to analyze, plan and estimate requirements as well as identify risks involved and provide solutions to them. Collaborate with stakeholders to gather, document, and analyze data requirements for new data pipeline projects. Understand business objectives and convert them into clear, actionable data requirements. Work alongside data engineers and project managers to estimate the time and resources required to build data pipelines. Use historical data and industry standards to provide accurate effort estimations. Monitor the quality of data and ensure its alignment with business requirements. Perform data validation checks and suggest improvements. Liaise with business analysts, data engineers, and other stakeholders to ensure seamless communication and project alignment. Prepare and present detailed reports and dashboards to project managers, stakeholders, and senior leadership. Identify opportunities for process optimization in data gathering, validation, and pipeline construction. Suggest and implement tools and techniques for efficient data analysis and project estimation. Requirements: 5 years of experience in Data analytics; Advanced SQL; Experience with a business intelligence tool, especially with Looker; Experience with LookML; Previous experience with agile process and scrum framework, inclusive of ability to work in fast-paced and distributed teams; Excellent communicationin English - both verbal and written. Experience with cloud-based data platforms (e.G., AWS, Azure, Google Cloud) and big data technologies (e.G., Hadoop, Spark). Professional certifications in data analysis or project management (e.G., CAP, PMP). Experience with data visualization tools (e.G., Tableau, Power BI). Nice to have: Experience with Databricks We offer: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits