Business Intelligence Engineer

1 week ago

New Delhi, India CX Data Labs Full time


Business Intelligence Engineer

About CX Data Labs

At CX Data Labs, we believe that by systematically understanding and adapting to changing customer preferences, companies can sustainably grow their business. We help our clients realize this vision through our advisory and implementation services in Digital, Data, and Analytics competencies bridging the gap between Strategy and Execution.

Our secret sauce is our team of highly skilled and knowledgeable "Craftsmen" who are constantly expanding their expertise by participating in industry-shaping initiatives. With our systematic problem-solving approaches and deep technology, data, and analytics expertise, we're leading the charge in driving business success through the refinement of customer-centric processes

Job Summary: Business Intelligence Engineer (AWS Quicksight Specialist)

We are seeking a highly skilled Business Intelligence Engineer with expertise in AWS Quicksight to join our data-driven team. You will play a pivotal role in designing, developing, and maintaining interactive dashboards and reports that empower our business users to make informed decisions. Your deep understanding of AWS Quicksight and its integration with other AWS services will be essential in delivering insightful visualizations and data-driven solutions.

Responsibilities:

  • Dashboard Development:
  • Design, develop, and deploy interactive dashboards and reports in AWS Quicksight, catering to diverse business needs.
  • Utilize advanced Quicksight features like calculated fields, parameters, and custom visuals to create compelling visualizations.
  • Ensure dashboards are optimized for performance, usability, and accessibility.
  • Data Modeling and ETL:
  • Collaborate with data engineers to define and implement data models optimized for Quicksight visualization.
  • Develop and maintain ETL processes to extract, transform, and load data from various sources into Quicksight.
  • Ensure data integrity, accuracy, and consistency throughout the ETL pipeline.
  • Requirement Gathering and Analysis:
  • Work closely with business stakeholders to understand their reporting and analytical requirements.
  • Translate business requirements into technical specifications for dashboard development.
  • Provide technical expertise and guidance to business users on best practices for data visualization and analysis.
  • Performance Optimization and Troubleshooting:
  • Monitor and optimize dashboard performance to ensure fast and efficient data retrieval and rendering.
  • Troubleshoot and resolve any issues related to data connectivity, dashboard functionality, or user experience.
  • Training and Support:
  • Provide training and support to business users on how to effectively use and interpret Quicksight dashboards.
  • Develop and maintain documentation related to dashboard development and data models.
  • Stay Current:
  • Stay abreast of the latest developments in AWS Quicksight and other relevant technologies.
  • Proactively explore and evaluate new features and functionalities to enhance our BI capabilities.

Qualifications:

  • Bachelor's Degree: in Computer Science, Information Systems, or a related field.
  • 6+ years of experience as a Business Intelligence/ Analytics Engineer or related role
  • AWS Quicksight Expertise: Proven experience in designing, developing, and deploying dashboards and reports in AWS Quicksight.
  • Data Modeling and ETL: Strong understanding of data modeling concepts and experience with ETL tools and processes.
  • SQL Proficiency: Excellent SQL skills for data extraction, transformation, and analysis.
  • AWS Ecosystem: Familiarity with other AWS services like Redshift, S3, Athena, and Glue.
  • Communication Skills: Excellent written and verbal communication skills to effectively interact with both technical and non-technical stakeholders.
  • Problem-Solving Skills: Strong analytical and problem-solving skills to identify and resolve complex issues.
  • Collaboration: Ability to work effectively in a team environment and collaborate with cross-functional teams.


Preferred Qualifications:

  • AWS Certification: AWS Certified Solutions Architect or AWS Certified Data Analytics Specialty.
  • Databricks Certification
  • Experience with BI Tools: Experience with other BI tools like Tableau or Power BI.
  • Data Visualization Skills: Expertise in data visualization principles and best practices.
  • Python or R: Proficiency in Python or R for data analysis and scripting.



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