Business Intelligence Solutions Architect

3 days ago

Hyderabad City Taluka, Pakistan techcarrot Full time

Job Title:

Data Insights Professional

We are seeking a highly skilled and experienced Data Insights professional to design, develop, and maintain cutting-edge data solutions that empower data-driven decision-making across the organization. This role is ideal for individuals with a strong technical background in data analytics, visualization, ETL workflows, and reporting solutions.

The ideal candidate will have expertise in Power BI, Alteryx, and Tableau, with experience in building dashboards, creating data models, and automating data workflows. Experience with SAP BEx, SAP BO, and SAP BW is a plus. The role requires a deep understanding of ETL processes, data visualization best practices, data modeling, and governance.

As a Senior Data Insights professional, you will be instrumental in defining data strategies, improving analytics capabilities, and mentoring junior data professionals, ensuring that our business teams have access to real-time, accurate, and actionable insights.

Key Responsibilities:

Data Development & Visualization

  • Design, develop, and optimize data visualizations and reports using Power BI and Tableau, ensuring high-performance and visually appealing analytics.
  • Build advanced data visualizations, KPI scorecards, and interactive reports that provide real-time insights for business users.
  • Ensure the usability, scalability, and efficiency of all data solutions, aligning them with business objectives.
  • Automate data extraction and processing workflows using Alteryx, improving efficiency and reducing manual effort.
  • Work closely with stakeholders from finance, sales, operations, and risk teams to translate business requirements into impactful data solutions.
  • Standardize and document data processes, ensuring consistency and usability across different teams.

ETL Development & Data Engineering

  • Design and implement ETL workflows using Alteryx to automate, transform, and optimize data pipelines.
  • Develop and maintain data models, ensuring efficiency, accuracy, and scalability for large datasets.
  • Optimize SQL queries and database structures to improve data retrieval speeds and enhance system performance.
  • Integrate and manage SAP BEx, SAP BO, and SAP BW data sources for effective reporting and analysis.
  • Monitor data quality and consistency, ensuring data governance and compliance with industry standards.

Performance Optimization & Troubleshooting

  • Continuously monitor, troubleshoot, and enhance data visualizations and reports for optimal performance and usability.
  • Conduct root-cause analysis for data discrepancies and implement data validation techniques to maintain accuracy.
  • Evaluate and benchmark data tools and performance metrics, identifying areas for process automation and improvement.

Collaboration, Training & Best Practices

  • Work closely with senior business leaders, understanding strategic goals and aligning data solutions accordingly.
  • Provide training and support to business users on data tools and self-service analytics capabilities.
  • Stay updated with emerging data trends, best practices, and technologies, continuously improving internal data frameworks.
  • Act as a mentor and subject matter expert, providing guidance to junior data engineers and analysts.
  • Collaborate with data engineering and IT teams to enhance the data architecture and improve analytics capabilities.

Required Qualifications & Experience:

Bachelor's degree in Computer Science, Data Analytics, Business Intelligence, Information Systems, or a related field.

5+ years of experience in data development, data visualization, and analytics, with a strong track record of delivering high-impact data solutions.

Strong expertise in Power BI, Alteryx, and Tableau for dashboard development, analytics, and automation.

Proficiency in SQL, with hands-on experience in query optimization and database performance tuning.

Hands-on experience with ETL tools and data automation techniques.

Excellent problem-solving and analytical skills, with the ability to interpret complex datasets and provide meaningful insights.

Excellent communication and stakeholder management skills, with the ability to present complex data insights in a clear and actionable manner.

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