Description

Job Description:

• Senior Data Analyst responsible for leading reporting and analytics initiatives across operations, with a focus on scalable reporting, operational insights, and data-driven decision-making.
• Design and build end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analysis aligned with business requirements.
• Partner with cross-functional stakeholders (Operations, DQAS, OPCC, Technology teams) to define reporting requirements, KPIs, and success metrics.
• Develop, maintain, and optimize data models and data pipelines to support accurate and reliable reporting solutions.
• Analyze large and complex datasets to identify trends, anomalies, performance gaps, and opportunities for operational improvement.
• Own data quality validation processes and ensure the accuracy, consistency, and integrity of reporting outputs.
• Translate complex datasets and analytical findings into clear, actionable insights for business and leadership teams.
• Drive reporting standardization and automation initiatives to improve efficiency and reduce manual effort.
• Support incident and operational analysis through data-driven root cause investigations and reporting.
• Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization, and performance improvements.

Required Technical Skills

• Strong SQL expertise, including complex joins, query optimization, performance tuning, and data validation.
• Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
• Proficiency in data analysis, data wrangling, and automation using Python and/or R.
• Experience working with large-scale datasets, data warehouses, and cloud data platforms such as Snowflake, Azure, and Hadoop.
• Strong understanding of ETL/ELT processes, data integration, and data modeling concepts.
• Advanced Microsoft Excel skills for reporting, validation, and ad-hoc analysis.
• Experience implementing and maintaining data quality frameworks and validation methodologies.

Preferred Skills

• Experience supporting operational and real-time reporting environments.
• Familiarity with railroad, logistics, transportation, or similar operational datasets.
• Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks.
• Understanding of event-driven architectures, streaming data, and real-time analytics.

Soft Skills

• Strong stakeholder communication skills with the ability to translate technical findings into business value and impact.
• Ability to work effectively across business and technology teams without direct authority.
• Strong analytical, problem-solving, and critical-thinking capabilities.
• Self-motivated and capable of operating in fast-paced, ambiguous, and evolving environments.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
• 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical roles.
• Proven experience designing and delivering enterprise-scale reporting and analytics solutions

Key Skills

Education

Any Graduate