Sr. Data Analyst

Sr. Data Analyst

Location: Reading, PA - Onsite

Summary:
We are seeking a highly skilled Senior Data Analyst to lead data-driven initiatives, uncover actionable insights, and collaborate across teams to influence strategic decisions. This role requires advanced technical expertise, strong business acumen, and proactive leadership.

Key Responsibilities
Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
Extract insights and data-driven decisions.
Answer what is happening and why.
Lead data projects from concept to delivery, ensuring alignment with business objectives.
Collaborate with cross-functional teams to understand data needs and provide solutions.
Ensure data quality and integrity through regular audits and validations.
Present findings and recommendations to senior management and stakeholders.
Utilize advanced statistical techniques and machine learning models to solve complex business problems.
Develop and maintain data models for forecasting and scenario planning.
Mentor junior analysts and establish best practices for data analysis and visualization.
Work with IT and data engineering teams to optimize data pipelines and infrastructure.
Implement data governance standards and ensure compliance with security and privacy regulations.
Drive automation initiatives to improve reporting efficiency and reduce manual processes.

Qualifications
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (Master’s preferred).
Minimum of 5 years of experience in data analysis, business intelligence, or related field.
Advanced proficiency in SQL, data modeling, and ETL processes.
Strong experience with data visualization tools (Qlik, Power BI).
Proficiency in statistical analysis software (Python, R) and scripting for automation.
Excellent communication and presentation skills.
Ability to manage multiple projects and prioritize in a fast-paced environment.
Strong problem-solving skills and attention to detail.
Technical acumen and depth in Python, R, Jupyter Notebook
Knowledge of big data technologies and cloud platforms (AWS - S3, Athena, Redshift).

Preferred Qualifications
Experience in transportation or logistics industry.
Familiarity with API integrations, Webhooks, data streaming and cloud-based data solutions.
Demonstrated leadership skills in managing projects or mentoring team members.