Data Analyst (Jr.)

Perform remote data collection, cleaning, transformation, and analysis Apply statistical methods and machine learning techniques to datasets Regular help with review, collection, cleansing, transforming, and manipulating of large datasets Develop visualizations and dashboards using Tableau, Power BI, or similar tools. Deliver actionable recommendations to stakeholders at technical and non-technical levels. Coordinate with on-site government client and COR regarding meetings reports and other related updates Stay updated on emerging data analysis technologies All other duties as assigned Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. "Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act". Quadrant, Inc. is an equal opportunity and affirmative action employer. Quadrant is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability. Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities.

Eligible for NACI clearance to start Eligible for Secret clearance 2+ years of professional experience working as a Data Analyst Experience with Python, R, SQL, and advanced excel Experience with data modeling, predictive analytics, and machine learning techniques Experience with Tableau, Power BI, or similar data visualization platforms Working knowledge of hypothesis testing, regression analysis, and time series analysis Proven ability to collect, clean, transform, and manipulate large datasets Excellent verbal and written communication skills Strong analytical, problem-solving, and documentation skills Bachelor's degree in Data Analytics, Computer Science, or a related field from an accredited university