Junior Data Analyst

Silvi Concrete Products, Inc.•Falls Township, PA

23h•Onsite

About The Position

Silvi Materials has been expanding our “A” Team of employees since 1947! Our team has grown to 15+ companies, employing over 950 people across 30+ locations in Southeastern Pennsylvania, New Jersey, and North Carolina. Silvi is large enough to provide the stability you need, but small enough that you can feel your individual contribution to our success. We value the fresh ideas and perspectives of each new member of our team. What does Silvi Materials offer you, you may ask? Phenomenal Benefits: Medical, Vision, Dental, Prescription, Vacation, Paid Holidays, and so much more! Your future in mind: With 401(k) (at select locations) and/or pension options. We want all employees to build a great retirement! Growth at Silvi Materials: We offer each employee the opportunity to move into any facet of our complex business. And our tuition reimbursement program is the perfect springboard to help you get there!

Requirements

Bachelor’s degree in Information Systems, Computer Science, Mathematics, Statistics, Business Administration, Engineering or a related field is required.
Proficiency in SQL and Excel is required.
Knowledge of the Microsoft Office Suite is required.
Ability to effectively manage multiple priorities in a dynamic environment.

Nice To Haves

Experience in Python or R preferred.
Knowledge of InterBase scripting is a plus.
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.

Responsibilities

Clean, interpret, organize, and validate data to ensure accuracy and consistency multiple sources.
Utilize tools such as SQL and/or Python to query, extract, and maintain databases.
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.
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.
Develop detailed documentation of data processes/flows, decisions, and configurations to meet compliance and training requirements.
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.