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.

Skills

• 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.

Horizontal is committed to fostering a welcoming, inclusive workplace where diverse perspectives are valued and everyone has the opportunity to contribute and grow. We encourage candidates from all backgrounds to apply and bring their unique experience, ideas, and strengths to the team.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.