Sterling Engineering Inc.
Sterling Engineering Inc. is hiring: Data Analyst in Virginia Beach
Sterling Engineering Inc., Virginia Beach, VA, US
Job Description
Job Description
Position: Data Analyst
Location: Virginia Beach, VA – 4 days a week onsite - Local candidates are preferred
Duration: 12–24+ months
Location: Virginia Beach, VA – 4 days a week onsite - Local candidates are preferred
Duration: 12–24+ months
NO C2C representation.
Come join the Sterling team!
About us…Sterling Engineering, in business for 56 years …we offer FULL BENEFITS! As a Sterling Engineering W2 employee on contract, you receive a Full Employee Benefits Package that includes Paid Time Off, Paid Holidays, 3 Medical plans to choose from, Dental & Vision plans, 401(k) with a match, and an Employee Stock Ownership (ESOP) plan.
I am looking for a strong Data Analyst 5-10+ years who will be responsible for building and enhancing business intelligence tools to provide actionable insights to internal teams. This individual will leverage their technical expertise to compile data sets, create robust data models, automate processes, and develop meaningful visualizations in a dynamic, fast-paced environment.
Responsibilities:
- Analyze and interpret large volumes of data from multiple databases and sources
- Develop and maintain dashboards and reports to communicate insights to stakeholders
- Conduct research on data anomalies, identify discrepancies, and resolve issues
- Identify and address data quality concerns; propose and implement solutions
- Perform ad hoc analysis to support business needs
Qualifications:
- Bachelor’s degree in a related field
- Strong analytical and problem-solving skills with attention to detail
- Must have mechanical manufacturing, industrial engineering or a manufacturing or construction industry background.
- Ability to work independently as well as in a team setting
- Working knowledge of data models and ETL processes
- 5-10+ years of experience writing complex SQL queries (joins, unions, etc.)
- Proficiency with business intelligence and data visualization tools (Power BI, Power Query, MS Platforms)
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.