Data Analyst
Robotics Technologies LLC
Weehawken, NJ, United States
1 day ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$162,240
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Data Analysis
Big Data
Data Validation
Data Cleansing
Extract Transform Load (ETL)
Data Visualization
Data Warehousing
Relational Databases
Python (Programming Language)
Lookup Table
Pivot Tables
+4 more
Power BI
Standard Sql
SQL Databases
Tableau (Software)
Job description
We are looking for a skilled Data Analyst to collect, analyze, interpret, and present business data to support data-driven decision-making. The ideal candidate should have hands-on experience with SQL, Excel, Power BI or Tableau, data visualization, and reporting., * Collect, clean, validate, and analyze data from multiple business sources.
- Write and optimize SQL queries to extract and transform data.
- Develop interactive dashboards and reports using Power BI or Tableau.
- Analyze business trends, patterns, and performance indicators.
- Prepare periodic reports and communicate key findings to stakeholders.
- Perform data validation, reconciliation, and quality checks.
- Work with business teams to understand reporting requirements and define KPIs.
- Identify data discrepancies and coordinate with technical teams to resolve issues.
- Maintain reporting documentation, dashboards, and analytical reports.
- Support ad hoc data requests and provide actionable insights to business users.
Requirements
- Experience in Data Analysis or Business Data Reporting.
- Strong knowledge of SQL and relational databases.
- Hands-on experience with Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, formulas).
- Experience with Power BI or Tableau.
- Understanding of data visualization, reporting, and KPI analysis.
- Knowledge of data cleaning, validation, and reconciliation.
- Strong analytical, problem-solving, and communication skills., * Basic knowledge of Python for data analysis.
- Familiarity with ETL processes and data warehousing.
- Experience working with large datasets.
- Knowledge of business intelligence and reporting practices.
- Experience collaborating with business and technical stakeholders.
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