- Develop test and deploy applications using Microsoft Power Apps and Power Automate.
- Collaborate with business users to understand requirements and translate them into functional applications.
- Design and build custom forms workflows and data models.
- Integrate Power Apps with various data sources including SharePoint SQL databases and APIs.
- Ensure data security and compliance within Power Platform applications.
- Maintain and update existing Power Apps solutions based on feedback and evolving business needs.
- Troubleshoot and resolve application issues in a timely manner.
- Design develop and maintain Power BI reports and dashboards that meet business requirements.
- Connect to various data sources including SQL databases Excel and cloud sources and perform data transformations.
- Create complex data models and DAX calculations to support data analysis.
- Work closely with stakeholders to understand reporting needs and gather requirements.
- Implement rowlevel security on data and ensure data accuracy.
- Optimize Power BI solutions for performance and scalability.
- Collaborate with data engineers and other team members to improve data quality and governance.
- Write optimize and maintain SQL queries stored procedures
- Develop and maintain data documentation and standards.
Requirements
- Strong experience with Microsoft Power Apps and Power Automate.
- Knowledge of Power Platform s data architecture including Common Data Service
- Familiarity with connectors custom APIs and integrating external data sources.
- Advanced visualization designing intuitive and user friendly dashboards .
- Proficiency in SharePoint SQL and Dynamics 365 is a plus.
- Ability to work independently and manage multiple projects.
- Strong communication skills to collaborate with stakeholders and crossfunctional teams.
- Proficiency in Power BI and DAX (Data Analysis Expressions).
- Strong understanding of data modeling data warehousing and ETL processes.
- Experience with data sources like SQL Server Excel and cloud services (Azure etc.).
- Strong analytical and problemsolving skills.
- Excellent communication skills to work with both technical and nontechnical stakeholders.
Benefits
- Competitive salary and performancebased bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Proven experience as a Data Scientist or similar role. Strong knowledge of data analysis, statistics, and machine learning. Proficiency in data science tools and programming languages such as Python, R, Azure Data-bricks, SQL, etc. Familiarity with: Supervised and unsupervised learning techniques Deep learning and reinforcement learning Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics Expertise in visualization tools such as Power BI, Spot fire, or similar. Excellent storytelling skills to explain complex data to non-technical/business teams Experience in analytics, preferably within Retail, CPG, or E-commerce domains. Excellent communication and collaboration skills with the ability to work effectively in a team environment.