SQL-Driven Data Visualization & Analytics Engineer

Job Description

We are looking for a highly motivated Data Analyst / Data Visualization Engineer to design and deliver data-driven solutions that help solve business problems and improve decision-making. The ideal candidate should possess strong analytical skills, hands-on experience in data visualization, SQL, and scripting languages such as Python or R, along with the ability to understand customer business objectives and translate them into impactful analytics solutions.

• Understand customer business requirements and develop end-to-end data-centric solutions.
• Design, develop, and maintain interactive dashboards, reports, and visualizations using BI tools.
• Build and optimize complex SQL queries, datasets, and data pipelines for analytics and reporting needs.
• Develop and operationalize analytics workflows using Python, R, or similar scripting languages.
• Analyze large datasets to identify trends, insights, and opportunities for business improvement.
• Collaborate with cross-functional teams including business stakeholders, developers, and data engineers.
• Ensure data accuracy, consistency, and quality across reporting solutions.
• Continuously enhance technical capabilities and stay updated with emerging analytics technologies and market trends.
• Contribute as a Subject Matter Expert (SME) within the assigned scope of services and responsibilities.

• Strong communication skills with the ability to understand and translate business objectives into analytics solutions.
• Good critical thinking and problem-solving abilities.
• Hands-on experience in building compelling and user-friendly data visualizations using commercial and/or open-source BI tools.
• Strong proficiency in SQL for building and maintaining complex queries and data pipelines.
• Experience with Python, R, or similar scripting languages for analytics automation and workflow operationalization.
• 1–2 years of experience in data analysis and visualization.
• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or equivalent.

• Experience with cloud platforms such as AWS, Cloudera, or similar technologies.
• Exposure to data pipeline development and database development.
• Understanding of statistical modelling, predictive analytics, or machine learning concepts.
• Certifications or experience in leading analytics and BI platforms such as:
  
  Tableau Qlik Micro Strategy Informatica Talend Microsoft  BI Stack
  
  SASIBM Analytics Solutions