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Junior Data AnalystSilvi Concrete Products • Newton Falls, Ohio, United States
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Junior Data Analyst

Silvi Concrete Products
  • US
    Newton Falls, Ohio, United States
  • US
    Newton Falls, Ohio, United States
Jetzt Bewerben

Über

Overview Title of Position: Junior Data Analyst
Location: Fairless Hills, PA (Fully On-Site)
Industry Leading Benefits: Medical, Prescription, Dental, Vision, 401K, Pension, Short- and Long-Term Disability, Life Insurance, Tuition Reimbursement.
What does a Junior Data Analyst do?
A Junior Data Analyst extracts, migrates, cleanses, and organizes raw data to ensure accuracy for business intelligence needs. Key responsibilities include data querying, validation, database maintenance, and dashboards development to support team insights.
Key Responsibilities
Data Cleaning and Transformation: Clean, interpret, organize, and validate data to ensure accuracy and consistency across multiple sources.
Database Management: Utilize tools such as SQL and/or Python to query, extract, and maintain databases.
Quality Assurance: Identify and resolve data inconsistencies or missing information. Communicate data validation activities, monitor data quality, and coordinate remediation plans to maintain the accuracy of integrated data.
Reporting and Visualization: Conduct data analyses using statistical techniques and data visualization tools. Identify patterns, trends, and correlations in datasets. Create and update dashboards, charts, and reports to communicate findings.
Documentation: Develop detailed documentation of data processes/flows, decisions, and configurations to meet compliance and training requirements.
Collaboration: Partner with technical and functional stakeholders to align data activities with business objectives.
Manage deliverables in accordance with project plans.
Contribute to the development and review of Standard Operating Procedures (SOPs), ensuring data practices adhere to organizational standards and requirements.
Effectively collaborate with stakeholders by translating technical terminology and processes; support drive data driven decision making.
Contribute to the development of a complete data lake and/or data warehouse solution.
Support the continuous improvement of data quality and data management processes.
Qualifications & Experience
Education: Bachelor’s degree in Information Systems, Computer Science, Mathematics, Statistics, Business Administration, Engineering or a related field is required.
Technical Proficiency: Proficiency in SQL and Excel is required, with experience in Python or R preferred. Knowledge of InterBase scripting is a plus.
Analytical Skills: Ability to troubleshoot complex software issues and analyze data to guide decision-making.
Understanding of visualization tools such as Power BI.
Experience supporting complex system implementations or upgrades is a plus.
Ability to collect, organize, and analyze large datasets is a plus.
Excellent problem-solving abilities, time management skills, and attention to detail.
Experience with ITSM systems like DevOps or Jira is a plus.
Experience with data warehouses and/or data lakes is a plus.
Knowledge and use of the Microsoft Office Suite is required.
Ability to effectively manage multiple priorities in a dynamic environment.
Physical Demands
Use hands/fingers to type and move office objects
Sit for long periods of time
Hear sounds and recognize the difference between them
See details of objects that are less than a few feet away and far distances
See differences between colors, shades, and brightness.
Lift 20 pounds on occasion
Kneel, stoop, crouch, bend, stretch, twist or crawl, on occasion
Silvi Materials does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
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  • Newton Falls, Ohio, United States

Sprachkenntnisse

  • English
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