
Data Analyst – Transforming Insights into Business Results
11 hours ago
We are seeking a skilled data analyst to join our growing team. The ideal candidate will have strong analytical capabilities with expertise in SQL, Python data analysis libraries, and data visualization tools.
About the RoleAs a key member of our analytics team, you will be instrumental in transforming raw data into actionable insights, creating impactful visualizations, and working closely with our AI/ML team to prepare and deliver high-quality datasets for model development and other data-driven initiatives.
While the position covers a broad range of analytics activities, it requires someone who can efficiently help the ML team source, prepare, and optimize data from our systems for their use cases—in addition to supporting wider business intelligence needs.
Key Responsibilities- Data Analysis & Exploration: Extract, transform, and analyze complex datasets to uncover patterns and insights.
- Perform statistical analysis to identify trends, correlations, and anomalies.
- Collaborate with stakeholders—including ML engineers—to understand business questions and provide data-driven solutions.
- Create comprehensive reports explaining data findings and their business implications.
- SQL Development & Database Management: Write and optimize complex SQL queries for data extraction and analysis.
- Design efficient database queries with a focus on performance and scalability.
- Implement query refactoring techniques to improve execution time and resource usage.
- Understand and work with database schemas, stored procedures, and views.
- Design and develop interactive dashboards and reports using Power BI.
- Create visually compelling and insightful data visualizations that tell a story.
- Present analytical findings to technical and non-technical stakeholders.
- Maintain and improve existing dashboards and reporting solutions.
- Support for AI/ML Initiatives: Prepare, clean, and preprocess data for machine learning models.
- Assist in designing and implementing ETL pipelines for AI/ML workflows.
- Support ML engineers with feature engineering and, where applicable, Feature Store management.
- Schedule and monitor data workflows using tools such as Airflow or Azure Functions.
- Validate and analyze model outputs and performance metrics in partnership with the ML team.
- Data Quality & Governance: Identify and address data quality issues.
- Document data sources, transformations, and analysis methodologies.
- Ensure data accuracy and reliability in reports, dashboards, and ML datasets.
- Adhere to data governance policies and best practices.
- Bachelor's degree in computer science, statistics, mathematics, or related field.
- 2–3 years of experience in data analysis roles.
- Strong proficiency in SQL, particularly T-SQL with Microsoft SQL Server.
- Experience with Python data analysis libraries (Pandas, NumPy, Matplotlib, etc.).
- Proven experience creating dashboards and visualizations with Power BI.
- Excellent analytical and problem-solving skills.
- Strong communication skills with the ability to translate complex findings into business insights.
- Experience working with large datasets and optimizing query performance.
- Career growth path into advanced analytics, data engineering, or data science.
- Competitive compensation and benefits package.
- Professional development opportunities and continuous learning culture.
- Opportunity to work with diverse and complex datasets.
- Collaborative environment with exposure to cutting-edge AI/ML technologies.
- Our company offers a dynamic and supportive work environment.
- We prioritize employee growth and development.
- Our team is passionate about delivering high-quality results.
- We value teamwork and collaboration.
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