Responsibilities

• Collaborate with assigned marketing teams and business partners to understand their insight needs and translate into reporting/analysis solutions
• Access, extract and curate relevant data for analysis and reporting
• Determine optimal methodology (descriptive, diagnostic, predictive) and apply necessary modeling and statistical analysis approaches/methodologies to generate data results
• Generate insights connecting analytical results with business problems or objectives.
• Collaborate with data and ecosystem owners/SMEs across the organization to implement and optimize data collection tags and analytics tools
• Design and implement automated and actionable dashboards and reports

Education/Qualifications

• Undergraduate degree (Bachelor’s) from an accredited institution in Computer Science, SW Engineering, Mathematics, Data Science, IT/IMS, Statistics or other STEM field with a strong quantitative background

Experience/Skills

• 1-3 years of hands-on experience in the analysis, modeling, and visualization of large, complex, and heterogeneous data set
• Experience or knowledge of working with large data sets/ data warehouses, including the ability to extract data from data sets using advanced scripting or SQL
• Experience or knowledge of Data Visualization using Tableau or similar tools
• Experience or knowledge of ETL and/or data prep tools
• Strong problem-solving skills with a focus on design of experiments (A/B testing)
• Strong communicator and experience using data to tell a story
• Attention to detail and results oriented
• Proven ability to take ownership and lead a project with minimal supervision.
• Excellent interpersonal and communication skills, with strong written and verbal presentation

 Preferred

• Experience in medical diagnostics, pharmaceutical R&D, clinical development and/or healthcare
• Experience with Databricks and/or PySpark
• Experience with Python, R, or SAS to help facilitate predictive analytics
• Expertise in advanced analytics and predictive modeling
• Experience with data science techniques including mathematical and statistical analyses, modeling, and data visualization

Apply : https://careers.labcorp.com/global/en/job/2329925/Data-Analyst