Power BI Database Developer (Remote)

📍 Job Overview

• Job Title: Power BI Database Developer (Remote)
• Company: Architecture in Motion Inc.
• Location: Piešťany, Trnava, Slovakia (Remote)
• Job Type: Full-time
• Category: Data & Analytics
• Date Posted: 2025-06-14
• Experience Level: Intermediate (2-5 years)
• Remote Status: Remote

🚀 Role Summary

• Key Responsibilities: Design, develop, and maintain Power BI reports and dashboards, manage databases, and optimize data retrieval for real-time performance monitoring.
• Key Skills: Power BI, SQL, DAX, Power Query, data integration, data warehousing, and data architecture.
• Industry Context: This role focuses on developing and managing BI solutions to provide actionable insights through data visualization, working closely with stakeholders to understand their data analysis needs.

💻 Primary Responsibilities

📊 Data Visualization & Reporting

• Design, develop, and maintain Power BI reports and dashboards that meet business requirements.
• Work closely with stakeholders to understand their data analysis needs and translate these into clear visualizations.
• Implement data analysis and transformation processes within Power BI.

🔄 Data Management & Integration

• Manage databases, data collection systems, and other strategies that optimize data quality and efficiency.
• Ensure proper integration of Power BI with other databases and applications.
• Optimize data retrieval and develop dashboard reports for real-time performance monitoring.

🔒 Data Security & Platform Management

• Maintain data analytics platforms and ensure the security of data across all platforms.
• Troubleshoot and resolve data-related issues, ensuring data accuracy and consistency.

🎓 Skills & Qualifications

🎓 Education & Experience

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience: Proven 3+ years of experience as a Power BI Developer or Data Analyst.

🛠 Required Skills

• Strong knowledge of SQL and relational databases.
• Proficiency in developing and optimizing DAX queries and Power Query.
• Excellent problem-solving skills and attention to detail.
• Strong understanding of data integration, data warehousing, and data architecture.
• Effective communication skills, capable of conveying complex data in a simple and concise manner.

🌟 Preferred Skills

• Experience with Azure cloud services.
• Familiarity with data modeling and data cleansing techniques.
• Knowledge of ETL (Extract, Transform, Load) processes.

📊 Web Portfolio & Project Requirements

📊 Portfolio Essentials

• Dashboard Design: Showcase your Power BI dashboard designs that effectively communicate data insights.
• Data Visualization: Demonstrate your ability to create clear and engaging visualizations using Power BI.
• Data Transformation: Provide examples of data transformation processes you've implemented in Power BI.

📄 Technical Documentation

• Data Dictionary: Include a data dictionary explaining the data sources, transformations, and calculations used in your projects.
• Data Lineage: Document the data lineage, showing how data flows from sources to the final dashboard.
• Testing & Validation: Describe the testing and validation processes you've used to ensure data accuracy and consistency.

💵 Compensation & Benefits

💰 Salary Range

• Estimated: €2,500 - €3,500 per month (based on market research for similar roles in Slovakia)
• Currency: EUR
• Unit: Monthly

🎁 Benefits

• Health Insurance: Comprehensive health insurance package.
• Retirement Plan: Company-matched retirement plan.
• Professional Development: Opportunities for professional growth and skill development.
• Work-Life Balance: Flexible working hours and remote work options.

🕒 Working Hours

• Standard: 40 hours per week, during EST business hours.

🎯 Team & Company Context

🏢 Company Culture

• Industry: Architecture and Design Software
• Company Size: Medium (51-250 employees)
• Founded: 2009
• Team Structure: The data team consists of data analysts, data engineers, and data visualization specialists working closely with various departments, including sales, marketing, and product development.
• Development Methodology: Agile/Scrum methodologies, with a focus on iterative development and continuous improvement.

📈 Career & Growth Analysis

• Web Technology Career Level: Intermediate (2-5 years)
• Reporting Structure: Reports directly to the Data Manager, working closely with the data team and stakeholders from various departments.
• Technical Impact: Responsible for creating and maintaining data visualizations that drive informed decision-making across the organization.

🌐 Work Environment

• Office Type: Remote-friendly, with a focus on collaboration and communication.
• Office Location(s): Piešťany, Slovakia (remote work available)
• Workspace Context: Remote workers are provided with the necessary tools and equipment to perform their jobs effectively, including access to the company's cloud-based resources and collaboration platforms.
• Work Schedule: Flexible, with a focus on delivering results and meeting project deadlines.

📄 Application & Technical Interview Process

📝 Interview Process

1. Resume Screening: A review of your resume and portfolio to assess your qualifications and fit for the role.
2. Technical Phone Screen: A phone or video call to discuss your technical skills and experience with Power BI.
3. On-site Interview: An on-site interview at the Piešťany office (or remote, if preferred) to discuss your cultural fit and problem-solving skills.
4. Final Decision: A final decision will be made based on your interview performance and the overall fit for the role.

📝 Portfolio Review Tips

• Dashboard Design: Highlight your ability to create intuitive and user-friendly dashboards that effectively communicate data insights.
• Data Visualization: Showcase your creativity and attention to detail in your data visualizations.
• Data Storytelling: Demonstrate your ability to tell a story with data, guiding the viewer through the dashboard and highlighting key insights.

📝 Technical Challenge Preparation

• Data Analysis: Brush up on your data analysis skills, focusing on SQL, DAX, and Power Query.
• Data Visualization: Familiarize yourself with the latest Power BI features and best practices for data visualization.
• Problem-Solving: Prepare for problem-solving scenarios, demonstrating your ability to think critically and find creative solutions to data-related challenges.

🛠 Technology Stack & Web Infrastructure

• Data Visualization Tools: Power BI, Tableau (optional)
• Database Management Systems: SQL Server, MySQL, PostgreSQL
• Programming Languages: SQL, DAX, Power Query (M)
• Cloud Platforms: Azure (preferred), AWS, Google Cloud Platform
• Version Control: Git, GitHub
• Collaboration Tools: Microsoft Teams, Slack

👥 Team Culture & Values

🌟 Data Team Values

• Data-Driven Decision Making: We value data-informed decisions and strive to provide actionable insights through our work.
• Continuous Learning: We foster a culture of continuous learning and skill development, encouraging our team members to stay up-to-date with the latest trends and tools in data visualization.
• Collaboration: We work closely with various departments, fostering a collaborative environment that values open communication and active listening.
• Quality & Excellence: We strive for excellence in our work, ensuring that our data visualizations are accurate, intuitive, and visually appealing.

🤝 Collaboration Style

• Cross-Functional Collaboration: We work closely with various departments, including sales, marketing, and product development, to ensure that our data visualizations meet their needs and drive informed decision-making.
• Code Review & Feedback: We encourage a culture of code review and feedback, ensuring that our work is held to a high standard and that we are constantly learning and improving.
• Knowledge Sharing: We foster a culture of knowledge sharing, with regular team meetings and workshops focused on skill development and best practices in data visualization.

⚡ Challenges & Growth Opportunities

🛠 Technical Challenges

• Data Complexity: Work with complex and large datasets, requiring advanced data modeling and transformation techniques.
• Performance Optimization: Optimize data retrieval and processing to ensure real-time performance monitoring and efficient data visualization.
• Data Governance: Ensure data accuracy, consistency, and security across all platforms, adhering to data governance best practices.

🌱 Learning & Development Opportunities

• Skill Development: Develop your skills in data visualization, data analysis, and data management, with opportunities for professional growth and career advancement.
• Conferences & Training: Attend industry conferences and training sessions to stay up-to-date with the latest trends and tools in data visualization.
• Mentorship: Benefit from mentorship opportunities, working closely with experienced data professionals to develop your skills and advance your career.

💡 Interview Preparation

📝 Technical Questions

• Data Analysis: Prepare for technical questions focused on SQL, DAX, and Power Query, demonstrating your ability to analyze and manipulate data.
• Data Visualization: Brush up on your knowledge of data visualization best practices, and be prepared to discuss your design choices and the reasoning behind them.
• Problem-Solving: Prepare for problem-solving scenarios, demonstrating your ability to think critically and find creative solutions to data-related challenges.

📝 Company & Culture Questions

• Company Culture: Research the company's culture and values, and be prepared to discuss how you align with them.
• Team Dynamics: Familiarize yourself with the data team's structure and dynamics, and be prepared to discuss how you would fit in and contribute to their success.
• Data Impact: Be prepared to discuss the potential impact of your work on the organization, highlighting the value of data visualization in driving informed decision-making.

📝 Portfolio Presentation Strategy

• Storytelling: Develop a compelling narrative for your portfolio, guiding the viewer through your data visualizations and highlighting the insights they convey.
• Visual Hierarchy: Ensure that your visualizations have a clear visual hierarchy, drawing the viewer's attention to the most important insights.
• Interactive Elements: Incorporate interactive elements into your dashboards, allowing the viewer to explore the data and uncover insights on their own.

📌 Application Steps

To apply for this Power BI Database Developer position:

1. Resume Tailoring: Customize your resume to highlight your relevant skills and experience in Power BI and data visualization.
2. Portfolio Preparation: Prepare your portfolio, showcasing your best work in Power BI and demonstrating your ability to create intuitive and user-friendly dashboards that effectively communicate data insights.
3. Technical Interview Preparation: Brush up on your technical skills and prepare for problem-solving scenarios, demonstrating your ability to think critically and find creative solutions to data-related challenges.
4. Company Research: Research the company and its culture, ensuring that you understand their values and how you align with them.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data visualization industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.