Sr. Data Analyst – Reading, PA (Onsite) – 12+ Years – SQL, Python, R, Qlik, Power BI, ETL, Data Modeling, AWS, Statistics, ML.

Keylent Inc; Reading (Berks County); On-site; USD 90,000 - 120,000; Full time

Job summary

Keylent Inc. is seeking a Senior Data Analyst to lead data-driven initiatives, uncover actionable insights, and influence strategic decisions. The role requires advanced technical expertise, business acumen, and proactive leadership.

You will analyze large datasets, develop forecasting models, and mentor junior analysts while collaborating with IT and analytics teams to optimize pipelines and ensure data governance.

Qualifications

• Bachelor’s degree in Data Science, Statistics, CS, or related field; Master’s preferred.
• Minimum 5 years in data analysis, BI, or related field.
• Advanced SQL, data modeling and ETL proficiency.
• Strong data visualization experience with Qlik and Power BI.
• Python and R for statistics and automation; Jupyter Notebook experience.
• Excellent communication and presentation skills.
• Ability to manage multiple projects in a fast-paced environment.
• Knowledge of big data, AWS (S3, Athena, Redshift).

Responsibilities

• Analyze large datasets to identify trends and insights.
• Extract insights and data-driven decisions.
• Lead data projects from concept to delivery.
• Collaborate with cross-functional teams to define data needs.
• Ensure data quality and integrity through audits.
• Present findings to senior management.
• Develop data models for forecasting and scenario planning.
• Mentor junior analysts and establish best practices.
• Improve data pipelines and automation with IT/data teams.
• Implement data governance and compliance standards.

Skills

SQL

Data modeling

ETL processes

Analytical thinking

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field

Master’s degree preferred

Tools

Power BI

Qlik

Python

R

Jupyter Notebook

AWS

S3

Redshift

Athena

Job description

Sr.Data Analyst

Sr Data Analyst – Onsite – Reading PA – 12 Years IT Min

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.