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27 results for Data Analyst Technology in Uniondale, NY
- Saddle Brook, NJ
- onsite
- Permanent / Full Time
- 70000 - 90000 USD / Yearly
- <p>The Business Intelligence (BI) Analyst translates business needs into actionable insights through reliable reports and dashboards. Working closely with Finance, Operations, Customer Service, and Manufacturing teams, this individual will gather reporting requirements, develop and maintain Power BI dashboards, and support data modeling efforts for a future centralized data warehouse.</p><p> </p><p>This entry-level opportunity offers structured mentorship, hands-on experience, and opportunities to grow into data engineering, advanced analytics, or broader IT application responsibilities.</p><p> </p><p><strong>Key Responsibilities</strong></p><p><strong> </strong></p><p><strong>Requirements Gathering & Business Collaboration</strong></p><ul><li>Partner with business users to understand reporting needs, business objectives, and key performance metrics.</li><li>Document requirements, data sources, metric definitions, and acceptance criteria using standardized templates.</li><li>Maintain a backlog of reporting requests and collaborate with IT leadership on prioritization.</li><li>Train end users on dashboards, gather feedback, and recommend improvements.</li></ul><p><strong>Reporting & Dashboard Development</strong></p><ul><li>Develop, publish, and maintain Power BI reports and interactive dashboards.</li><li>Automate manual Excel-based reporting processes to improve efficiency and accuracy.</li><li>Validate report data against source systems, including Monarch ERP and Smartsheet, before publishing.</li><li>Manage Power BI workspaces, user access, and scheduled data refreshes.</li></ul><p><strong>Data Warehouse & Data Quality Support</strong></p><ul><li>Inventory and document data sources, tables, and fields used across reporting solutions.</li><li>Maintain a business glossary and data dictionary with standardized definitions and metrics.</li><li>Identify data quality issues, inconsistencies, and conflicting metric definitions across departments.</li><li>Document business requirements and source-to-report mappings to support the development of a centralized data warehouse.</li></ul>
- 2026-10-23T00:00:00Z
- Edison, NJ
- remote
- Temporary / Contract
- 47.5 - 55 USD / Hourly
- We are looking for an experienced AI Business Analyst/Consultant to lead data science, analytics, and product insight initiatives for a growing organization in Edison, New Jersey. This Long-term Contract position will shape how data, experimentation, and AI are used to guide product strategy, improve decision-making, and deliver measurable business value. The role works closely with cross-functional leaders to turn complex information into practical recommendations while advancing scalable analytics capabilities across the business.<br><br>Responsibilities:<br>• Direct and strengthen a team of data science and product analytics professionals, encouraging high standards, collaboration, and ongoing development.<br>• Establish the vision and execution plan for analytics and data science initiatives so product and business decisions are supported by reliable insights.<br>• Act as the product lead for the data platform by setting priorities, refining requirements, and guiding roadmap delivery.<br>• Drive the broader AI and analytics roadmap, including initiatives that support customer-facing intelligence and data-enabled product enhancements.<br>• Oversee the lifecycle of machine learning and analytical solutions, from design and deployment through performance tracking and continuous optimization.<br>• Guide the product analytics environment, including Amplitude, to create scalable measurement approaches and deliver actionable reporting.<br>• Promote disciplined experimentation and evidence-based decision-making by introducing strong analytics practices and performance frameworks.<br>• Define and monitor key product and divisional metrics to ensure outcomes remain aligned with strategic business objectives.<br>• Partner with stakeholders across product, design, engineering, marketing, and leadership teams to translate data findings into growth-focused actions.<br>• Evaluate emerging AI technologies and modern tools such as Databricks, Python, and Azure-based solutions to expand organizational analytics capability.
- 2026-10-16T00:00:00Z