Senior Data Anlayst

We are looking for an experienced Senior Data Analyst to join our partner's team, contributing to data analysis, reporting, and visualization initiatives. You will work with large datasets, develop analytical solutions, and transform complex data into meaningful insights that support business decision-making.

The role requires strong hands-on experience with SQL, ETL processes, and data visualization tools such as Tableau and Highcharts, alongside JavaScript skills and the ability to leverage AI tools to improve analytical workflows and productivity. You will collaborate with technical and business teams to deliver effective, data-driven solutions.

Contract type: B2B

Work model: Fully Remote

Key Responsibilities

Analyze complex datasets using SQL to identify trends, patterns, and actionable business insights.

Develop, maintain, and optimize SQL queries to support reporting and analytical requirements.

Work with ETL processes to extract, transform, and prepare data for analysis and visualization.

Design, develop, and maintain interactive dashboards and reports using Tableau.

Build and customize data visualizations using Highcharts and JavaScript.

Translate business requirements into analytical solutions, dashboards, and meaningful reports.

Ensure data accuracy, consistency, and quality across reporting and visualization solutions.

Use AI tools to support data analysis, automate repetitive tasks, and improve productivity.

Collaborate with business stakeholders and technical teams to understand requirements and deliver effective data solutions.

Maintain and improve existing dashboards, reports, and data workflows.

Requirements

Proven professional experience as a Senior Data Analyst or in a similar analytical role.

Strong knowledge of SQL and experience working with complex queries and datasets.

Hands-on experience with ETL processes and data preparation.

Experience developing dashboards and reports using Tableau.

Experience with Highcharts and JavaScript for interactive data visualization.

Familiarity with AI tools and their practical application in data analysis and workflow optimization.

Strong analytical and problem-solving skills, with attention to detail.

Ability to translate business needs into clear, actionable insights.

Good communication and collaboration skills.

Ability to work independently and manage multiple analytical tasks in a remote environment.