Data Analytics Engineer

Alphayotta; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Alphayotta in Barcelona is looking for a detail-oriented Data Analyst to enhance an Excel-based tool by integrating it with Databricks. Ideal candidates will have expert-level proficiency in Excel and SQL, along with a strong background in data analysis and process automation. Responsibilities include optimizing workflows, developing reports, and collaborating with cross-functional teams. This position aims to improve data insights and facilitate decision-making. We encourage applicants from diverse backgrounds to apply.

Formación

• Expert-level proficiency in Excel, including advanced formulas, pivot tables, macros, and VBA.
• 2+ years of experience in business analysis, data analysis, or a similar analytical role.
• Strong experience with Databricks and other SQL-based platforms.

Responsabilidades

• Maintain and enhance an Excel-based tool, ensuring seamless integration with Databricks.
• Improve data views and dashboards for various stakeholders.
• Develop and automate reports and summaries for decision-making.

Conocimientos

Excel proficiency

SQL proficiency

Data analysis

Communication skills

Problem-solving

Collaboration

Tableau

Herramientas

Databricks

Tableau

Python

SQL-based platforms

Descripción del empleo

Client Pricing Analytics team is seeking a highly analytical and detail-oriented Data Analyst to support and enhance an Excel-based tool by integrating it with Databricks, improving data views, and making it scalable for broader business use. This role requires a strong foundation in data analysis, reporting, and process automation, with an emphasis on optimizing workflows and delivering actionable insights through reports and summaries.

Our Pricing Analytics Team is an international and diverse group of professionals, including data scientists, economists, engineers, and physicists. We are deeply committed to fostering a diverse and inclusive work environment at Client and believe that diverse teams lead to better ideas, more innovative solutions, and greater overall success. We strongly encourage women, as well as candidates from all backgrounds and identities, to apply for this position.

Technical Skills

• Maintain and enhance an Excel-based tool, ensuring seamless integration with Databricks to automate data updates and improve efficiency.
• Improve data views and dashboards, making them more intuitive, insightful, and scalable for various stakeholders.
• Work on scalability solutions to expand the tool's functionality and adaptability across teams.
• Develop and automate reports and summaries, translating complex data into actionable insights for decision-making.
• Collaborate with data engineers, data scientists, business teams, and stakeholders to ensure the tool meets business needs and evolves with changing requirements.
• Troubleshoot and resolve data-related issues, ensuring data accuracy and consistency.
• Provide documentation, training, and support to ensure end-users can effectively use the tool and reports.

Required Qualifications

• Expert-level proficiency in Excel, including advanced formulas, pivot tables, macros, and VBA
• Expert-level proficiency in SQL for querying, data transformation, and analysis
• Strong experience with Databricks and other SQL-based platforms for large-scale data processing and analytics
• 2+ years of experience in business analysis, data analysis, or a similar analytical role
• Proven track record of automating processes and improving data pipelines to drive efficiency and scalability
• Strong problem-solving skills and keen attention to detail
• Excellent communication skills and ability to collaborate effectively with cross-functional teams
• Proficiency in Tableau for data visualization and dashboard development

Preferred Qualifications

• Experience with Python, SQL, or Spark for data manipulation and automation.
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with API integrations and data governance best practices.

Behavioral Skills

• Very good communication skills
• Should be very interactive and top on deliverables being working from client environment.
• Ready to learn new tools and technology in related area.