STAFFXPERT LLC

Sr. Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Analyst in Manhattan, NY, lasting 12+ months at a pay rate of "unknown." Requires 7+ years in Data Science, expertise in PySpark, SQL, Power BI, and familiarity with Azure Databricks and Google Cloud Platform.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
496
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🗓️ - Date
May 15, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Manhattan, NY
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🧠 - Skills detailed
#Mathematics #Databricks #SQL (Structured Query Language) #Databases #A/B Testing #Pandas #Data Engineering #Azure Databricks #Data Analysis #Microsoft Power BI #Visualization #Data Science #Cloud #Azure #Datasets #PySpark #Big Data #Spark (Apache Spark) #Statistics #Data Pipeline #Data Mining #Computer Science #Python #DAX #BI (Business Intelligence) #GCP (Google Cloud Platform) #Predictive Modeling #ML (Machine Learning) #NLP (Natural Language Processing) #ML Ops (Machine Learning Operations)
Role description
Location: Manhattan, NY Duration: 12+ Months Job Summary STAFFXPERT is looking for a Sr. Data Analyst will be responsible for designing, developing, and maintaining advanced analytics and machine learning solutions. The role involves working with large datasets, building predictive models, optimizing data pipelines, and delivering actionable insights to business and technical stakeholders. Required Skills • Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. • 7+ years of experience in Data Science and Machine Learning Engineering. • Strong hands-on experience with Machine Learning algorithms, predictive modeling, and data mining. • Expertise in PySpark and Python Pandas for data science workloads. • Strong SQL knowledge and experience with relational databases. • Minimum 3 years of experience with Power BI, DAX Queries, and visualization best practices. • Experience with Azure Databricks and Google Cloud Platform. • Strong coding background with ML Ops experience. • Experience with GenAI and Large Language Models (LLMs). • Hands-on experience with NLP (Natural Language Processing). • Experience with A/B Testing methodologies. • Familiarity with cloud-based infrastructure. • Strong communication and problem-solving skills. Technical Skills Must Have • Applied Machine Learning • Azure Databricks • Big Data Analytics • Databricks Certified Data Engineer Associate • Data Structures • Google Cloud Certified Machine Learning Engineer • Machine Learning Operations (ML Ops) • Pandas Python Library • PySpark • SQL • Power BI • DAX Queries • NLP • GenAI / LLMs