Financial Data Analyst & Power BI Developer

Job Summary 

The Power BI Developer is responsible for designing, developing, and maintaining analytics solutions using the Power BI platform. They collaborate with stakeholders to understand their reporting needs and translate them into visually appealing and interactive dashboards and reports. Additionally, they optimize data models, implement data transformations, and ensure data accuracy and integrity. The Power BI Developer also provides training and support to end-users and keeps up with the latest Power BI features and updates to enhance data visualization capabilities. 

Key Responsibilities 

Collaborate with stakeholders to gather requirements and translate them into effective Power BI solutions, ensuring the delivery of actionable insights. 

Design and develop data models, implement data transformations, and optimize data sources to ensure accurate and efficient data retrieval. 

Create visually compelling and interactive dashboards, reports, and data visualizations using Power BI, leveraging best practices for data visualization and storytelling. 

Conduct data analysis to identify trends, patterns, and insights, and provide recommendations to improve business performance. 

Perform regular maintenance and troubleshooting of Power BI solutions, ensuring data accuracy, integrity, and system stability. 

Provide training and support to end-users, empowering them to effectively utilize Power BI tools and make informed decisions based on data. 

Stay updated with the latest Power BI features, enhancements, and industry trends, and proactively propose innovative solutions to improve data visualization capabilities and drive business value. 

Critical Requirements 

Data Analysis: Strong analytical skills are essential to understand business requirements, identify data patterns, and derive meaningful insights from complex datasets. 

Power BI Expertise: In-depth knowledge of Power BI tools, including Power Query, Power Pivot, DAX (Data Analysis Expressions), and Power BI Desktop, is crucial for designing and developing effective data models and visualizations.

Data Modeling: Proficiency in data modeling techniques, such as creating relationships between tables, defining calculated columns and measures, and optimizing data structures, is necessary to ensure efficient data retrieval and analysis. 

SQL and Database Skills: A solid understanding of SQL (Structured Query Language) and experience working with databases is important for data extraction, transformation, and loading (ETL) processes, as well as for querying and manipulating data. 

Data Visualization and Reporting: Ability to design visually appealing and interactive dashboards and reports, using best practices for data visualization, storytelling, and user experience, is essential to effectively communicate insights to stakeholders. 

Problem-Solving: Strong problem-solving skills are needed to identify and resolve technical issues, optimize performance, and troubleshoot data-related problems. 

Communication and Collaboration: Effective communication and collaboration skills are critical for understanding business requirements, working with stakeholders, and providing training and support to end-users. 

Continuous Learning: Given the rapidly evolving nature of the Power BI platform, a willingness to continuously learn and stay updated with the latest features, enhancements, and industry trends is essential for a Power BI Developer to deliver cutting-edge solutions. 

Additional Requirements 

• Finance: Experience working with financial data, conducting financial analysis and utilizing financial software.  Should be familiar with financial reporting standards, financial modeling, budgeting and forecasting 

• SAP: Adept at extracting and analyzing financial information stored in SAP systems, leveraging tools such as SAP Business Intelligence or SAP Analytics Cloud to generate meaningful insights, support financial reporting, and facilitate data-driven decision-making 

• Tableau: proficient in using Tableau software to create visually appealing and interactive data visualizations, dashboards, and reports, enabling effective data analysis and communication of insights. 

• Programming: Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and building machine learning models. 

• Machine Learning: Knowledge of machine learning algorithms, techniques, and frameworks to build predictive models, perform data clustering, and conduct pattern recognition