Business Intelligence Analyst

hace 1 semana


Ensenada, Baja California, México Advancio A tiempo completo
About the Position

We are seeking a highly skilled Data Analyst to join our team at Advancio. As a key member of our data analytics team, you will be responsible for designing and developing advanced data models, reports, and dashboards in Power BI to provide actionable insights and support business decision-making.

Key Responsibilities
  • Data Modeling and Visualization: Design and develop data models, reports, and dashboards in Power BI that are visually appealing and easy to understand. Create interactive reports that provide meaningful insights and help stakeholders make informed decisions.
  • Data Integration: Connect Power BI to various data sources, such as SQL databases, Excel files, cloud services, and other third-party applications. Ensure data is correctly integrated, transformed, and optimized for analysis.
  • ETL Processes: Develop Extract, Transform, Load (ETL) processes using Power Query, DAX (Data Analysis Expressions), or other tools to prepare and cleanse data for reporting. Optimize data flows to ensure efficient data processing and performance.
  • Performance Optimization: Optimize reports and dashboards for performance, ensuring they load quickly and efficiently handle large volumes of data. This may involve refining data models, reducing data load times, and improving query performance.
  • Collaboration with Stakeholders: Work closely with business stakeholders, including data analysts, project managers, and decision-makers, to gather requirements, understand business needs, and translate them into effective Power BI solutions.
  • Advanced DAX Calculations: Write complex DAX formulas to create custom calculations, measures, and KPIs. Use DAX to implement business logic and enhance report functionality.
  • Security Implementation: Implement security measures, such as row-level security, to restrict access to sensitive data based on user roles and permissions.
  • Troubleshooting and Support: Provide technical support for Power BI reports and dashboards, troubleshooting issues, and optimizing performance as needed. Assist users with ad-hoc reporting needs and answer queries related to Power BI.
  • Documentation: Create and maintain documentation for Power BI solutions, including design specifications, data models, DAX calculations, and user guides to ensure clear communication and ease of maintenance.
  • Training and Mentoring: Provide training and guidance to junior developers and end-users on best practices for using Power BI. Mentor team members to improve their skills and knowledge.
  • Staying Updated with Power BI Features: Keep up-to-date with the latest Power BI features, updates, and best practices to continuously improve reporting capabilities and implement new functionalities.
  • Quality Assurance: Conduct thorough testing of reports and dashboards to ensure accuracy, consistency, and reliability of data presented to the users.
Requirements
  • Advanced Reporting and Data Visualization: The role requires creating sophisticated reports and dashboards using tools like PowerBI, Alteryx, and advanced Excel. The candidate would focus on transforming complex datasets into actionable insights and clear visual representations.
  • Low-Level Scripting and Automation: The candidate would be responsible for designing and developing automation scripts using tools and languages like Python, R, and potentially SQL. This would include automating data processing workflows and optimizing reporting processes.
  • Data Analysis and Business Acumen: The role involves analyzing product data and providing insights that support business decision-making. A deep understanding of the Consumer Packaged Goods (CPG) industry, along with a strong grasp of product data and business strategies, would be essential.
  • Collaboration and Problem-Solving: The Sr. Data Analyst would collaborate closely with various teams to understand data needs, provide strategic recommendations, and solve complex problems related to data analytics and reporting.
  • Technology Proficiency: Familiarity with cloud platforms like MS Azure, along with knowledge of database systems and programming, would be key for integrating data sources and enhancing data management and analysis.


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