Realtime is seeking an experienced Analytics Consultant with a strong focus on Microsoft skills, particularly proficiency in DAX (Data Analysis Expressions). The ideal candidate will play a pivotal role in transforming data into actionable insights for clients. If you have a passion for data analysis, a deep understanding of DAX, and the ability to communicate complex findings effectively, we encourage you to apply.
Key Responsibilities:
Data Modeling and Analysis:
1. Develop and maintain data models using Microsoft Power BI or similar tools.
2. Create DAX formulas and calculations to extract meaningful insights from complex datasets.
3. Perform in-depth data analysis to identify trends, anomalies, and opportunities for optimization.
Client Engagement:
1. Collaborate with clients to understand their business objectives and data needs.
2. Translate business requirements into actionable data solutions.
3. Present findings and recommendations to both technical and non-technical stakeholders.
Dashboard and Report Development:
1. Design and build interactive dashboards and reports in Microsoft Power BI or similar BI tools.
2. Ensure data visualizations are clear, insightful, and aligned with client goals.
Data Integration:
1. Integrate data from various sources, including databases, spreadsheets, and APIs, to create unified datasets for analysis.
2. Implement data cleansing and transformation processes as needed.
Documentation and Knowledge Sharing:
1. Maintain clear and detailed documentation of data models, DAX calculations, and report development.
2. Provide training and knowledge sharing sessions to team members on DAX best practices and techniques.
3. Stay up-to-date with the latest developments in Microsoft's data analytics and visualization tools.
4. Identify and recommend improvements to existing analytics processes and methodologies.
Qualifications:
1. Bachelor's degree in a related field (Computer Science, Business, Data Science).
2. Proven experience as an Analytics Consultant or similar role, with a strong emphasis on DAX expertise.
3. Proficiency in Microsoft Power BI and Excel for data analysis and visualization.
4. Solid understanding of database systems, SQL, and data warehousing concepts.
5. Excellent problem-solving skills with the ability to work with complex, unstructured datasets.
6. Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
7. Experience with other Microsoft technologies such as Azure Data Factory or SQL Server is a plus.
8. Relevant certifications in Microsoft Power BI or data analytics are preferred.
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