Senior Data AnalystWe are looking for a Senior Data Analyst to lead reporting and analytics efforts across operations. This role will focus on building scalable, accurate reporting, identifying insights from operational data, and enabling data-driven decisions across business and technology teams.Key ResponsibilitiesDesign and build end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analysis aligned to business needs.Partner with stakeholders across Operations, DQAS, OPCC, and Technology teams to define reporting requirements and KPIs.Develop and maintain data models and pipelines to support reliable reporting.Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement.Own data quality validation and ensure accuracy across reporting outputs.Translate complex data into clear, actionable insights for leadership.Drive standardization and automation of reporting processes to reduce manual effort.Support incident analysis by providing data-backed root cause insights.Collaborate with engineering teams on data sourcing, transformations, and performance optimization.Required SkillsStrong SQL skills, including complex joins, performance tuning, and data validation.Experience with data visualization tools such as Power BI, Tableau, or similar platforms.Proficiency in data wrangling and analysis using Python or R.Experience working with large datasets and data warehouse platforms such as Snowflake, Azure, Hadoop, or similar technologies.Understanding of ETL/ELT pipelines and data modeling concepts.Strong Excel skills for ad-hoc analysis and validation work.Experience with data quality frameworks and validation techniques.Preferred SkillsExperience with operational or real-time reporting environments.Familiarity with railroad, logistics, or transportation data.Exposure to the Azure data stack, including ADF, Synapse, and Databricks.Understanding of event-driven systems and streaming data.Soft SkillsStrong stakeholder communication and the ability to translate data into business impact.Ability to work across business and technology teams without formal authority.Highly analytical with a strong problem-solving mindset.Self-driven and able to operate in ambiguous and fast-paced environments.QualificationsBachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.7+ years of experience in data analytics or reporting roles.Proven experience building enterprise-grade reporting solutions.The base salary for this position is $92,250 to $125,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies.
Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.