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# Data Analyst

- **Company:** Robotics Technologies LLC
- **Location:** Weehawken, NJ, United States
- **Salary:** $162,240
- **Contract:** Temporary contract
- **Skills:** 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, Power BI, Standard Sql, SQL Databases, Tableau (Software)
- **Published:** November 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=433ee0148f73021d

## About the Role

* 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.

## 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.