Senior Data Analyst Job at Labcorp, Burlington, NC

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  • Labcorp
  • Burlington, NC

Job Description

Labcorp is recruiting a Senior Data Analyst for a dynamic team in either Burlington or Durham, NC.

Position Overview

We are looking for a talented Analyst/Developer with exceptional analytical skills and a strong understanding of SQL to join our development team. The ideal candidate will have familiarity with COBOL and experience working with Python. The role will also involve preparing detailed reports, so experience in report writing is essential. You will be responsible for working on a variety of projects, analyzing data, creating optimized SQL queries, and providing technical solutions to support business goals.

Key Responsibilities

  • Develop and maintain applications and systems using COBOL, Python, and other programming languages as needed.
  • Write and optimize complex SQL queries for efficient data retrieval and analysis.
  • Conduct data analysis and provide actionable insights based on findings.
  • Collaborate with stakeholders to understand requirements and develop reports that align with business needs.
  • Design, implement, and test new features and improvements to existing systems.
  • Prepare and deliver comprehensive reports, presenting data in a clear and actionable format.
  • Troubleshoot and resolve technical issues related to SQL, COBOL, Python and Pyspark.
  • Work with cross-functional teams to improve system performance and deliver high-quality software solutions.
  • Stay up-to-date with emerging technologies and trends in development, SQL, and report writing.

Required Skills And Qualifications

  • 4+ years of Data Engineering experience, or equivalent demonstrated
  • Associates Degree in Computer Science, Information Systems or related field.
  • 4+ years of experience in Databricks, Data stage or Oracle SQL Experience
  • Experience implementing ETL pipeline using pyspark, Python
  • Proficiency in SQL with extensive experience in writing complex queries.
  • Familiarity with COBOL and its applications in legacy systems.
  • Strong experience in report writing and presenting data insights to stakeholders.
  • Ability to work with large datasets and provide performance optimization solutions.
  • Excellent verbal and written communication skills.
  • Ability to work both independently and as part of a team in a fast-paced environment.

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • 3 - 5yrs software/IT technical experience
  • Experience with data warehousing, ETL processes, and reporting tools.
  • Experience with cloud platforms (AWS, Azure) and modern software development practices is a plus.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here .

Labcorp Is Proud To Be An Equal Opportunity Employer

As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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256783

Job Tags

Part time, Casual work, Relief, Flexible hours,

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