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Full timeTechnology

Data Management Analyst

Peerless TechnologiesCrane, Indiana🇺🇸United States

Why this role stands out

Advance your career at Peerless Technologies by leveraging your technical expertise to shape data-driven strategies within a collaborative, innovative team environment. This hybrid role is perfect for a detail-oriented professional who thrives on building robust reporting solutions and wants to make a meaningful impact on organizational decision-making. Apply today to elevate your skills and contribute to cutting-edge data science initiatives in a supportive, high-growth workplace.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationCrane, Indiana, United States
SQLMicrosoft ExcelTableau.NETPythonMachine LearningPower BISQL ServerData Analysis

Job description

Job Description Job Description

Peerless is seeking a skilled Data Management Analyst to develop, configure, maintain, and enhance data management systems, databases, reporting solutions, and business intelligence tools. The successful candidate will support data governance, analytics, reporting, system administration, and data science initiatives while working closely with stakeholders to develop technical solutions and ensure the integrity, accessibility, and effective use of organizational data.

Key Responsibilities

  • Administer and maintain enterprise databases, data repositories, and document management systems.
  • Manage data collection, validation, integration, import/export, storage, and retrieval processes.
  • Monitor database performance, data quality, and system functionality to ensure data integrity and reliability.
  • Manage user access, permissions, and database troubleshooting activities.
  • Develop and maintain reports, dashboards, metrics, and analytical products supporting organizational decision-making.
  • Develop databases, reporting applications, and automated workflows using tools such as Excel, Access, SQL Server, .NET, and Power BI.
  • Generate routine and ad hoc reports, analyses, and performance metrics.
  • Develop, configure, and enhance business systems, applications, and reporting solutions.
  • Support system upgrades, testing, implementation, and ongoing maintenance.
  • Support data science and advanced analytics initiatives through data collection, preparation, analysis, and modeling.
  • Assist with machine learning initiatives, data acquisition, model inputs, and development of data products.

Requirements

  • Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Mathematics, Statistics, or a related field.
  • Experience managing databases, data repositories, and reporting systems.
  • Experience developing reports, dashboards, and analytical products.
  • Proficiency with Microsoft Excel, Microsoft Access, SQL, and database/reporting technologies.
  • Knowledge of database structures, data management, and data governance principles.
  • Strong analytical, problem-solving, communication, and organizational skills.
  • Ability to manage multiple projects and priorities in a dynamic environment.

Preferred Qualifications

  • Experience with SQL Server, .NET, Power BI, Tableau, Python, or R.
  • Knowledge of data science, machine learning, and data modeling methodologies.
  • Experience supporting enterprise information systems or business intelligence environments.
  • Familiarity with cloud-based data platforms and data integration technologies.
  • Experience with process improvement and workflow automation.

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