Data Analyst Python Sql Jobs in Lawrenceville, NJ

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.

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!

So, 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 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

In a typical work setting, people in this job:

• 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