Data Intelligence Analyst

About the role

Bring your data expertise to a high-impact analytics role focused on turning complex information into clear, actionable insights. This position offers the opportunity to build modern dashboards, shape scalable data solutions, and support AI-enabled decision-making across business and regulatory functions.

Responsibilities

• Design and deliver interactive Power BI dashboards and semantic models that provide meaningful insights to business leaders.
• Develop and optimize data pipelines using SQL, Python, and modern scripting approaches for structured and unstructured data.
• Support cloud-based analytics solutions across platforms such as Snowflake, Azure Synapse, Microsoft Fabric, or Databricks.
• Contribute to AI and machine learning initiatives, including predictive analytics, anomaly detection, natural language query, and generative AI use cases.
• Work with APIs and JSON-based data flows to connect enterprise systems and support analytics integrations.
• Perform data quality, governance, and metadata assessments to help ensure reliable and standards-aligned data.
• Partner with business, master data, IT, quality, and governance teams to define KPIs, data products, and reporting needs.
• Help promote self-service analytics by training users on Power BI, Copilot, and related tools.
• Support cloud and AI transformation efforts, including data platform modernization and adoption of responsible AI practices.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field.
• At least 7 years of experience in data analytics, business intelligence, data engineering, or data science.
• Strong hands-on experience with Power BI, including data modeling, DAX, and dashboard design.
• Proficiency in SQL and at least one programming language, with Python preferred.
• Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric.
• Ability to build, transform, and analyze data using tools such as Pandas or PySpark.
• Strong problem-solving skills with the ability to translate business needs into data-driven solutions.
• Comfort working across teams and communicating technical concepts clearly to different audiences.

Preferred Skills

• Master’s degree in a quantitative or related field.
• Exposure to Power BI Fabric, Copilot, or embedded analytics.
• Experience with API integrations and JSON-based data processing.
• Familiarity with AI/ML concepts, generative AI tools, or platforms such as Azure OpenAI or AWS Bedrock.
• Understanding of data governance, data quality, lineage, and metadata management.
• Experience with large-scale data analysis that supports strategic decisions and operational improvements.
• Background in feature engineering, predictive modeling, anomaly detection, or NLP use cases.
• Interest in streaming or near real-time data pipelines and scalable processing frameworks.

Benefits

• Medical, dental, and vision coverage.
• Retirement benefits.

Pay

The pay range for this role is $22 - $46 per hour based on qualifications and experience.