Senior Maintenance Analyst

Apply now: Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Data Analyst Location-Type: Hybrid (Reading, PA)- Onsite to start, then more of a flexible hybrid schedule Start Date Is: ASAP Duration: 6-Month Contract-to-Hire (must be able to convert without sponsorship) Compensation Range: $55-$70 per hour W2 ONLY Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

• Develop and maintain scalable, reusable data products for cross-functional business teams
• Build and optimize SQL queries, ETL processes, and data transformation workflows
• Develop analytics solutions using Python and PySpark
• Support data pipeline design, validation, and governance initiatives
• Partner with stakeholders to gather requirements and translate business needs into data solutions
• Collaborate with data science, engineering, and reporting teams to deliver standardized data products
• Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
• Support data visualization and reporting initiatives
• Ensure data quality, integrity, and governance standards are maintained
• Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

• 3-5 years of data analytics, data engineering, or related experience
• Expert-level SQL skills including joins, CTEs, window functions, and complex query development
• Experience with ETL processes and data cleansing
• Strong Python development experience
• Experience developing solutions using PySpark
• AWS cloud services experience
• Experience working with large datasets and enterprise-scale data environments
• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to work independently and take ownership of projects

Preferred Qualifications:

• Experience with Tableau, Qlik Sense, or similar visualization tools
• Experience with SQL Server, Oracle, IBM DB2, or related databases
• Power Platform experience
• Exposure to data science, forecasting, or predictive analytics initiatives
• Knowledge of geospatial analysis or ESRI/ArcGIS concepts
• Experience supporting cloud and on-premises data ecosystems