Sharp Decisions
Data Analyst (1015)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst (1015) with a contract length of "unknown" and a pay rate of "unknown." It requires local candidates in Jersey City. Key skills include Python, SQL, and data visualization tools like Tableau and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
March 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
-
🧠 - Skills detailed
#Google Data Studio #Visualization #Databases #Python #Tableau #BI (Business Intelligence) #Microsoft Power BI #SQL (Structured Query Language) #Data Analysis
Role description
Senior Data Analyst
Hybrid: Jersey City (must be local, no relo)
W2 only, no third parties
Summary:
We are seeking a mid-level Data Analyst to support the Cyber Data Operations team within ISDAD. This individual needs to be adept at analyzing data sources, creating technical requirements and overall scrubbing data from upstream source systems. They will work with both the stakeholders and the data development teams in order to understand the data sources being loaded into the CyberDW.
Responsibilities:
Gather and organize data from internal systems, spreadsheets, and reports. Analyze trends, patterns, and business performance using Excel or BI tools. Any exposure to SQL and relational databases is a plus. Proficient in Python a plus. Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio. Strong attention to detail and ability to interpret data in a business context. Effective communication skills and ability to work with cross-functional teams.
Senior Data Analyst
Hybrid: Jersey City (must be local, no relo)
W2 only, no third parties
Summary:
We are seeking a mid-level Data Analyst to support the Cyber Data Operations team within ISDAD. This individual needs to be adept at analyzing data sources, creating technical requirements and overall scrubbing data from upstream source systems. They will work with both the stakeholders and the data development teams in order to understand the data sources being loaded into the CyberDW.
Responsibilities:
Gather and organize data from internal systems, spreadsheets, and reports. Analyze trends, patterns, and business performance using Excel or BI tools. Any exposure to SQL and relational databases is a plus. Proficient in Python a plus. Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio. Strong attention to detail and ability to interpret data in a business context. Effective communication skills and ability to work with cross-functional teams.
