Data Analyst - Intern

About us:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Some company highlights:

• Winner of 2021 Google Cloud Breakthrough Partner of the Year- North America
• Recognized as an AIFinTech100 Company, 2022 by InsurTech
• Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
• Great Places to Work certified for 2 consecutive years- 2022, 2021
• Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
• Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
• Winner of 2021 AWS Canada Rising Star of the Year
• Delivered 2.5x growth YoY since its inception in 2013
• Recognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021
• Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
• Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
• Winner of NVIDIA's Americas Service Delivery Partner of the Year, 2021
• Winner of Best in Business Award in Established Business category by INC., 2022

:

Experience Level: 1+ years

Responsibilities:

Process Evaluation:

⦁ Design and implement a repeatable process to evaluate the effectiveness of different statistical methods/processes.

⦁ Analyze and compare performance metrics between the two systems to identify strengths, weaknesses, and potential areas of improvement.

⦁ Collaborate with cross-functional teams to gather data, conduct experiments, and interpret results to support decision-making.

Data Validation:

⦁ Assess the quality and reliability of new data sources.

⦁ Develop data validation protocols and perform data integrity checks to ensure accuracy and completeness of the data collected.

⦁ Work closely with stakeholders to address data quality issues and provide actionable recommendations for improvements.

Ad-Hoc Support:

⦁ Assist client stakeholder team with ad-hoc questions related to the Data-Driven Logistics and Performance Systems.

⦁ Analyze data, generate reports, and communicate findings in a clear and concise manner to help operators make informed decisions.

⦁ Build relationships with clients by understanding their stated, but more importantly, latent needs.

⦁ Work closely with offshore delivery managers to ensure a seamless communication and delivery.

Required Skills:

⦁ Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

⦁ Proven experience in data analysis, preferably in an operations or supply chain context.

⦁ Proficiency in data manipulation and analysis using tools such as Python, R, SQL, or similar.

⦁ Familiarity with statistical analysis and data visualization techniques.

⦁ Strong problem-solving skills with the ability to translate data insights into actionable recommendations.

⦁ Excellent communication skills to present complex findings in a clear and understandable manner.

⦁ Ability to work collaboratively in cross-functional teams and manage multiple tasks simultaneously.

⦁ Hands-on experience with monitoring and BI tools such as Tableau, Arize.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with Fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data, and cloud.