Data Scientist
hace 1 semana
About Us: We are BYT, a specialized tech recruitment company with an experienced management team. Our expertise stems from our deep knowledge of market expectations, business needs, and candidate motivations. We use innovative techniques to attract and maintain the best people, ensuring we get the right fit for each team and project.
Job Title: Data Analyst
Job Type: Permanent
Location: Madrid - Spain
Work Type: Hybrid model. 2 days in office.
Job Description: We are looking for an experienced Data Analyst to lead data-driven insights, ensuring high-quality analysis and optimization across our data platforms. This role is integral in transforming data into actionable insights, empowering our team to make data-backed decisions. As a Senior Data Analyst, you'll work closely with stakeholders to understand data needs, design reporting solutions, and provide meaningful analytics to support business objectives.
Key Responsibilities:
• Conduct in-depth analyses of complex data sets to uncover trends, patterns, and insights that support business strategy and drive key decisions.
• Implement best practices for data validation and quality control, ensuring all analysis is accurate, reliable, and insightful.
• Partner closely with data engineers, scientists, and business stakeholders to define data requirements and deliver high-impact analytics solutions.
• Develop and maintain dashboards and reports using tools like Tableau, Power BI, or other BI tools to present insights in a clear, actionable format.
• Work with data engineering to support ETL processes, ensuring data from diverse sources (APIs, databases, flat files) is consistently integrated and optimized for analysis.
• Collaborate in the management of the Data Warehouse (e.g., Snowflake), focusing on optimizing for analytical efficiency and data integrity.
Requirements:
Minimum 5 years of experience in data analysis or a related field. Bachelor's degree (or higher) in Data Science, Statistics, Computer Science, or a related discipline. Strong proficiency in data analysis, statistical methods, and translating complex data into clear insights. Expertise in SQL and experience with programming languages like Python or R for data analysis. Hands-on experience with data visualization tools (e.g., Tableau, Power BI). Keen eye for accuracy and detail, ensuring data integrity and high-quality insights. Ability to convey technical information clearly and effectively to both technical and non-technical stakeholders.
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