CarbyneTech - Data Analyst - R/Python

Overview

We are seeking an experienced and highly analytical Senior Business Intelligence & Data Analyst to join our team.

In this role, you will collaborate with business stakeholders, data engineers, and data scientists to transform complex business needs into actionable insights and scalable data solutions.

You will be responsible for analyzing data, developing compelling dashboards, ensuring data quality, and supporting advanced analytics initiatives across the organization.

Key Responsibilities Collaboration & Requirements Gathering

• Collaborate closely with business stakeholders to understand strategic objectives, gather detailed business requirements, and translate them into effective data-driven solutions.
• Lead and facilitate User Acceptance Testing (UAT) sessions, ensuring delivered solutions meet business expectations.
• Act as a trusted advisor to stakeholders by recommending analytical approaches and data-driven improvements.
  
  

• Analyze large volumes of structured and unstructured data using tools such as SQL, Power BI, and Excel to uncover trends, patterns, and insights.
• Perform deep-dive analyses and build data models to support decision-making and operational improvements.
• Present findings in a clear, compelling manner to both technical and non-technical audiences.
  
  

• Develop, maintain, and optimize interactive dashboards, reports, and visualizations that empower business users with self-service analytics.
• Establish best practices for data visualization, report design, and performance optimization.
  
  

• Partner closely with data engineers to ensure data pipelines, ETL processes, and data models meet analytical and reporting requirements.
• Collaborate with data scientists to support advanced analytics, machine learning initiatives, and model deployment activities.
  
  

• Conduct data profiling, validation, cleansing, and reconciliation to ensure the accuracy, completeness, and reliability of data.
• Support data governance initiatives by documenting data definitions, lineage, and quality standards.
  
  

• 7+ years of experience in business intelligence, data analysis, or similar roles.
• Strong proficiency with Power BI, SQL, and Excel, including advanced data manipulation and visualization skills.
• Hands-on experience working with the Azure Data Ecosystem (e.g., Azure Data Factory, Azure Synapse, Azure SQL, Data Lake).
• Proven track record in stakeholder management, with the ability to translate business needs into technical solutions.
• Solid understanding of data modeling concepts, including experience working with dimensional models and star/snowflake schemas.
• Excellent verbal and written communication skills, with the ability to present complex concepts clearly to diverse audiences.
• Strong problem-solving abilities and the capability to work both independently and collaboratively in a dynamic, fast-paced environment.
  
  

• Experience with Python or R for data analysis.
• Familiarity with machine learning concepts.
• Exposure to DevOps or CI/CD processes in data environments.
• Experience implementing BI governance or Center of Excellence (CoE) frameworks
  
  

(ref:hirist.tech)