Data Analyst: Insights & Growth (Maryland Onsite)

Interclypse, Inc.; Annapolis (MD); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Personal Time Off (PTO)

Health Insurance (Medical, Dental, Vis

Retirement: Unlimited 401K match up to

Job summary

Interclypse, Inc. in Maryland is seeking a data analyst to collect, clean, and analyze data, build models, and share actionable insights with stakeholders. You will develop dashboards and reports, and collaborate across teams to drive evidence-based decisions.

The ideal candidate has a bachelor’s degree in CS, statistics, mathematics, economics, or related field and at least three years of data analytics experience, with proficiency in SQL, Python, or R.

Qualifications

• Bachelor’s degree from an accredited college or university in computer science, statistics, mathematics, economics, or related field.
• Three (3) years of experience in data analytics.
• Proficient in SQL, Python, R or related programming.

Responsibilities

• Collect, clean, and organize data from various sources for accuracy, completeness, and reliability.
• Perform data analysis to identify trends, patterns, and correlations.
• Create data models, algorithms, and statistical techniques to solve problems.
• Develop actionable insights based on analysis to support decisions.
• Collaborate with multiple teams to understand requirements and objectives.
• Monitor data quality and integrity.
• Develop data visualizations, dashboards, and reports.

Skills

Analytical thinking

Data analytics

Education

Bachelor’s degree in computer science, statistics, mathematics, economics, or related field

Tools

SQL

Python

R

Job description

Interclypse, Inc. in Maryland is seeking a data analyst to collect, clean, and analyze data, build models, and share actionable insights with stakeholders. You will develop dashboards and reports, and collaborate across teams to drive evidence-based decisions.

The ideal candidate has a bachelor’s degree in CS, statistics, mathematics, economics, or related field and at least three years of data analytics experience, with proficiency in SQL, Python, or R.