Enterprise Business Analytics Internship
Quest Diagnostics · United States
- Hybrid
- Full-time
- $50,960 / year
- United States
Job highlights
- Internship in Enterprise Business Analytics at Quest Diagnostics.
- Work with AI and machine learning for business impact.
- Projects span Finance, Marketing, and Commercial functions.
- Develop and communicate analytical insights to stakeholders.
- Gain experience with AI platforms, Python, SQL, and more.
About the role
About Quest Diagnostics
Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
Job Summary
Quest Diagnostics is seeking motivated, capable, and talented individuals with high levels of interest in business analytics and AI to join the internship program with the Enterprise Business Analytics group that supports the Commercial, Finance, and Marketing functions. This internship program will work on projects that leverage insights derived from machine learning and AI, automation, and scalable analytics to drive business impact and support the functions in delivering their business objectives. Success in this role requires strategic and analytic acumen, ability to connect analytics and business needs, and the ability to communicate to key stakeholders the results and insights that impact decision making. The ideal candidate thrives at the intersection of analytics, AI adoption, business strategy, and stakeholder engagement, combining a strong analytical and technical foundation with a customer-first approach to fuel growth, efficiency, and timely business decision making.
Internship Projects
The intern position will be assigned a senior leader within the EBA for mentorship and oversight. Some types of projects an intern may support across the functions include but not limited to:
- Finance: Financial modeling, risk/scenario models, financial planning, financial forecasting, revenue cycle management
- Marketing: Customer/persona segmentation, marketing mix modeling, campaign effectiveness, market/competitive intelligence, upstream marketing, multi-touch attribution, and multimodal content personalization
- Commercial: Market expansion modeling, geo-mapping/geo-analytics, sales and customer analytics, sales force effectiveness, targeting and opportunity identification, revenue forecasting, customer attrition, sales funnel/pipeline analytics, and prediction models
Responsibilities
- Responsible for developing and communicating analytical insights effectively for Finance, Commercial, and Marketing functions
- Work under the supervision of senior team members to create analytical models to support discovery phase analysis
- Mining vast amounts of data to identify business and customer trends / opportunities
- Build analytical models to form the foundation of business decisions and regularly monitor the performance of those models
- Experimenting with different combinations of our existing technology stack including AI and developing impactful use cases for proof-of-concept (POC) testing
- Demonstrating POCs value by assembling bits of technology in a virtual sandbox environment that will allow leadership to see a potential piece of technology/AI working with our existing systems
- Work against fixed timelines and key deliverables
- Skillfully convey complex analytical results and concepts into concise and actionable business-oriented summaries for the management team
- Work effectively in the analytics technology/AI stack that integrates predictive modeling, automation, and self-service analytics using AI-supported platforms and applications alongside existing Quest infrastructure – including but not limited to AI platforms (GPT), visualizations (PowerBI, Tableau), coding platforms/tools (Github, VS code), programming languages (Python, SQL, SAS), and database management.
- Willingness to travel up to 25% domestically for in-person and stakeholder meetings as well as center-led or regional strategic meetings requiring advanced analytics support
Qualifications
- Education: Working towards a Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science, Physics
- Experience: Intern or work experience with predictive analytics, pattern recognition, or data mining/data analysis preferred
- Knowledge: Financial and business acumen; Strategy – Know the business, Focus on the customer, Promote strategic alignment; People – Collaborate with others, Communicate openly and transparently, continually develop self and others; Results – Deliver superior performance, demonstrate agility in decision making, Accelerate and embrace change
- Skills: Cross systems view, Strategic thinking, Cultivating vendor relationship, Crisis management and prioritization, Decision making, Executive presentations and presence, Continuous Improvement mindset, Excellent written and verbal skills, Leadership, Self-motivated, works well both independently and as part of an agile team
Key Skills/Competency
- Business Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Data Mining
- Data Analysis
- Financial Modeling
- Marketing Analytics
- Commercial Analytics
- Python
- SQL
Skills & topics
- Business Analytics
- AI
- Machine Learning
- Data Mining
- Data Analysis
- Financial Modeling
- Marketing Analytics
- Commercial Analytics
- Python
- SQL
- Internship
- Quest Diagnostics
- Quantitative Analysis
How to get hired
- Tailor your resume: Highlight quantitative coursework and any predictive analytics or data mining experience.
- Showcase analytical skills: Emphasize your ability to connect analytics to business needs and communicate insights.
- Prepare for technical questions: Brush up on Python, SQL, AI concepts, and data visualization tools like PowerBI/Tableau.
- Demonstrate business acumen: Articulate your understanding of financial and marketing principles during interviews.
- Express your interest: Convey your passion for AI and business analytics and your eagerness to learn.
Technical preparation
Practice Python and SQL for data manipulation.,Familiarize with AI/ML concepts and platforms.,Learn PowerBI or Tableau for data visualization.,Understand financial and business modeling basics.
Behavioral questions
How do you connect analytics to business needs?,Describe a time you communicated complex data.,How do you prioritize tasks under deadlines?,How do you work independently and in a team?
Frequently asked questions
- What kind of projects can I expect as an Enterprise Business Analytics Intern at Quest Diagnostics?
- As an Enterprise Business Analytics Intern at Quest Diagnostics, you can expect to work on diverse projects within Finance, Marketing, and Commercial functions. These projects may include financial modeling, risk analysis, customer segmentation, campaign effectiveness analysis, market expansion modeling, sales analytics, and developing prediction models. You'll leverage AI and machine learning to derive insights and drive business impact.
- What qualifications are essential for the Enterprise Business Analytics Internship at Quest Diagnostics?
- To be considered for the Enterprise Business Analytics Internship at Quest Diagnostics, you should be pursuing a Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Computer Science, or Physics. Prior internship or work experience in predictive analytics, pattern recognition, or data mining is preferred. Strong analytical and communication skills are also crucial.
- What technical skills will I utilize as an Enterprise Business Analytics Intern?
- This internship will provide hands-on experience with a range of technologies. You'll work with AI platforms like GPT, data visualization tools such as PowerBI and Tableau, coding platforms like Github and VS Code, and programming languages including Python, SQL, and SAS. Experience with database management is also part of the tech stack.
- What is the pay rate for the Enterprise Business Analytics Internship at Quest Diagnostics?
- The Enterprise Business Analytics Internship at Quest Diagnostics offers a pay rate of $24.50 per hour. Salary offers are determined by various factors including relevant skills, training, experience, education, and certifications, alongside market and organizational factors.
- Does Quest Diagnostics offer benefits for interns?
- While specific benefits depend on whether the position is part-time or full-time, Quest Diagnostics offers comprehensive benefits designed to support employees' well-being. These can include medical, dental, and vision coverage, well-being programs, financial coaching, and access to educational assistance programs.
- How does Quest Diagnostics support the professional development of its interns?
- Quest Diagnostics assigns each intern a senior leader for mentorship and oversight. The company also offers career advancement opportunities and encourages continuous learning through programs like 'MyQuest for Education', fostering a supportive environment for professional growth.