Senior Data Analyst

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 communication in 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