IT Data Analyst

Who We Are

Binsky is a leader in world-class mechanical construction. Dedicated service to our clients has elevated us as the premier mechanical contractor for projects of all sizes and scopes. Innovation is the key at Binsky and along with our creative processes, we are always on the cutting edge of technology. Recognized as one of the most respected mechanical contractors in New Jersey and Pennsylvania, Binsky delivers high quality workmanship on projects from large traditional construction to commercial HVAC, plumbing, and service. Building incredible projects requires exceptional people.

We are seeking a Data Analyst to join our information technology team in Central New Jersey. This position is ideal for early-career professionals with a strong interest in turning data into actionable business insights.

Candidates must live within a commutable distance from our Ewing, NJ Headquarter location.

Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or take over sponsorship of employment visas at this time.

Why We Need You!

We need talented individuals, like you, who care about the company and our customers, and can help us continue to grow and succeed!

The Role

The Data Analyst will work with our Finance, Sales and Operations teams to garner knowledge from our data for business needs.

Accountabilities

• Collect, clean, and organize data from multiple sources to ensure accuracy and consistency.


• Perform descriptive and diagnostic analysis to identify patterns, trends, and anomalies.


• Create reports, dashboards, and visualizations to communicate findings to business stakeholders.


• Assist with ad-hoc data requests, queries, and reporting for different departments.


• Support the team in developing KPIs and tracking performance metrics.


• Document processes, data definitions, and best practices to improve data governance.


• Collaborate with stakeholders to ensure data pipelines, dashboards and reports meet business needs.

Qualifications:

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field required.


• Minimum of 2 years of professional experience in data analysis, reporting, or business intelligence (internships, academic projects, or co-ops are acceptable).


• Proficiency in SQL for querying databases.


• Experienced with data visualization tools.


• Experienced in leveraging APIs to securely integrate cloud-based data into dashboards and models.


• Familiarity with Python or R for data analysis.


• Excellent attention to detail, problem-solving ability, written and verbal communication skills.


• Ability to prioritize, set goals and manage multiple tasks under time constraints.

Preferred Skills:

• Knowledge of best practices for secure data access.


• Knowledge of database design, data warehousing concepts and cloud platforms.


• Knowledge of advanced analytics, machine learning and statistical modeling concepts.


• Understanding of basic business processes with experience preferred in mechanical construction.

Certifications required:

• Microsoft Certified: Power BI Data Analyst Associate (PL-300) required upon hire. Binsky will provide.


• Microsoft Certified: Security, Compliance, and Identify Fundamentals (SC-900) within 90 days of hire. Binsky will provide.


• Microsoft Certified: Azure Data Engineer Associate (DP-203) within 90 days of hire. Binsky will provide.

What We Offer

Binsky values the well-being of its employees and offers competitive wages and a range of benefits:

• Medical, Dental and Vision benefits


• 401k with company contribution


• 8 paid holidays per year


• Paid Time Off

Binsky is an EOE.

This job description does not necessarily represent an exhaustive list of responsibilities, skills, duties, requirements, efforts or working conditions associated with the job. While this is intended to be an accurate reflection of the job, management reserves the right to revise the job or require that other different tasks are performed as circumstances change.