Data Management Analyst

Sterling
Rockford, IL, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Compensation
$53,396.0 - $70,000.0
Working hours
Regular working hours
Job source

Tech stack

Query Performance Java (Programming Language) Agile Methodology Amazon Web Services Data Analysis Bash Shell Big Data Cloud Computing Data Architecture Data Integration Extract Transform Load (ETL) Data Retrieval
+18 more
Dataspaces Data Visualization Data Warehousing Relational Databases Apache Hadoop Python (Programming Language) Unix Shell Machine Learning Microsoft SQL Server Oracle (Applications) SQL Databases Tableau (Software) Scripting Apache Spark Data Analytics Data Management Data Pipelines Programming Languages

Job description

Join our dynamic team as a Data Management Analyst and become a pivotal force in transforming raw data into actionable insights! In this role, you will harness cutting-edge tools and technologies to design, develop, and maintain robust data management systems. Your expertise will enable organizations to make data-driven decisions, optimize business processes, and unlock new opportunities for growth. We are looking for energetic professionals who thrive in fast-paced environments and are passionate about leveraging data to drive innovation., * Build and maintain scalable ETL (Extract, Transform, Load) pipelines using SQL, Python, Bash (Unix shell), and other scripting languages to facilitate seamless data integration.

  • Manage query performance and optimize SQL databases to support efficient data retrieval and analysis.
  • Collaborate with cross-functional teams to generate insightful business intelligence reports using Tableau, Spark, and other visualization tools.
  • Support the development of machine learning models by preparing high-quality datasets and integrating them into existing data warehouses.
  • Participate in Agile project cycles to deliver iterative improvements in data architecture, ensuring alignment with evolving business requirements.

Requirements

  • Proven experience working with relational databases such as Oracle, Microsoft SQL Server, or similar SQL-based systems.
  • Strong knowledge of data warehouse architecture, including design principles for scalable storage solutions.
  • Hands-on experience with ETL process development and query management within complex data ecosystems.
  • Familiarity with big data technologies like Hadoop and Spark for processing large datasets efficiently.
  • Practical understanding of business intelligence tools such as Tableau for report generation and visualization.
  • Knowledge of cloud platforms like AWS for deploying and managing scalable data solutions.
  • Skills in programming languages including Python, Java, Bash (Unix shell), with an emphasis on automation and pipeline development.
  • Ability to analyze complex datasets using advanced analysis skills to uncover trends and support strategic decision-making.
  • Experience working within Agile teams to deliver continuous improvements in data management practices.

Embark on a journey where your expertise fuels innovation! We’re committed to fostering an inclusive environment that supports your professional growth while empowering you to make a tangible impact through data-driven insights.

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Professional development assistance
  • Tuition reimbursement
  • Parental leave
  • 401(k)
  • Health insurance
  • 401(k) matching, * 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Tuition reimbursement
  • Vision insurance

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