Data Analyst

Job Title: Data Analyst
Location: Titusville, NJ
Duration: 8 Months + Extension
Bill Rate: $90/hr
Job Type: W2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

• Design and build end-to-end reporting solutions (dashboards, recurring reports, ad-hoc analysis) aligned to business needs partner with stakeholders (OPS, DQAS, OPCC, TECH) to define reporting requirements and KPIs develop and maintain data models and pipelines to support reliable reporting analyze large datasets to identify trends, anomalies, and operational improvements own data quality validation and ensure accuracy across reporting outputs translate complex data into clear, actionable insights for leadership drive standardization and automation of reporting processes to reduce manual effort support incident analysis by providing data-backed root cause insights collaborate with engineering teams on data sourcing, transformations, and performance optimization

Required Technical Skills:

• Strong SQL skills (complex joins, performance tuning, data validation) experience with data visualization tools (power bi, tableau, or similar)
• Proficiency in data wrangling and analysis (python / R preferred) experience working with large datasets and data warehouses (snowflake, azure, Hadoop, etc.)
• Understanding of ETL/ELT pipelines and data modeling concepts strong excel skills for ad-hoc and validation work Experience with data quality frameworks and validation techniques

Preferred Skills:

• Experience with operational / real-time reporting environments familiarity with railroad, logistics, or transportation data exposure to azure data stack (ADF, synapse, data bricks)
• Understanding of event-driven systems and streaming data soft skills strong stakeholder communication
• Ability to translate data into business impact ability to work across business and tech teams without formal authority Highly analytical with strong problem-solving mindset self-driven, able to operate in ambiguous and fast-paced environments

Qualifications:

• Bachelor s degree in data science, computer science, statistics, engineering, or related field
• 5+ years of experience in data analytics / reporting roles
• Proven experience building enterprise-grade reporting solutions
  
  Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.