Senior Data Analyst - Onsite, F2F Interview
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst with a 12-month contract, offering a pay rate of "$X/hour". The position is onsite and requires 10+ years of IT experience, proficiency in SQL and data visualization tools, and experience in the transportation industry.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Greater Philadelphia
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🧠 - Skills detailed
#Computer Science #Datasets #Python #Data Science #Azure #Database Management #R #SQL (Structured Query Language) #Big Data #Cloud #Visualization #Microsoft Power BI #BI (Business Intelligence) #Statistics #AWS (Amazon Web Services) #ML (Machine Learning) #Tableau #Data Quality #Data Analysis
Role description
Key Responsibilities:
Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
Collaborate with cross-functional teams to understand their data needs and provide solutions.
Ensure data quality and integrity by performing regular data 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.
Qualifications:
Bachelor’s degree in data science, Statistics, Computer Science, or a related field. A master’s degree is preferred.
10+ Years of IT experience with Minimum of 7 years of experience in data analysis, business intelligence, or a related field.
Proficiency in data visualization tools such as Tableau, Power BI
Strong knowledge of SQL and experience with database management.
Experience with statistical analysis software (e.g., R, Python).
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Strong problem-solving skills and attention to detail.
Experience in the transportation or logistics industry preferable
Knowledge of big data technologies and cloud platforms (e.g., AWS, Azure).
This role requires a self-starter who takes initiative in identifying both problems and opportunities for improvement. The ideal candidate proactively engages in conversations to surface issues, collaborates on solutions, and drives progress without needing to be prompted by others.
Key Responsibilities:
Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
Collaborate with cross-functional teams to understand their data needs and provide solutions.
Ensure data quality and integrity by performing regular data 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.
Qualifications:
Bachelor’s degree in data science, Statistics, Computer Science, or a related field. A master’s degree is preferred.
10+ Years of IT experience with Minimum of 7 years of experience in data analysis, business intelligence, or a related field.
Proficiency in data visualization tools such as Tableau, Power BI
Strong knowledge of SQL and experience with database management.
Experience with statistical analysis software (e.g., R, Python).
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Strong problem-solving skills and attention to detail.
Experience in the transportation or logistics industry preferable
Knowledge of big data technologies and cloud platforms (e.g., AWS, Azure).
This role requires a self-starter who takes initiative in identifying both problems and opportunities for improvement. The ideal candidate proactively engages in conversations to surface issues, collaborates on solutions, and drives progress without needing to be prompted by others.
