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Junior Data Analyst

Job in Falls Township, Bucks County, Pennsylvania, USA
Listing for: Silvi Concrete Products
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Database Administrator, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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 Inter Base 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 Dev Ops 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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