Senior Data Analyst: Lead Insights, Modeling & Automation

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

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.