Sr Data Analyst

Key Skills

Analytical and Problem solving, Data Analytics, Data science techniques, Data Visualization, Data Warehousing, Databricks, Effective communication skills, ETL frameworks, IT, Large data sets, PySpark, Python Programming, R Programming, SAS, SQL, Tableau

Job Description

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

• 4-6 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

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. We encourage all to apply.