Data Collection Intern Jobs

We offer a hybrid work model - work remotely from home 2 days a week (Monday & Friday)

Exposure to the latest technologies for exploration, production and reservoir management in a workplace dedicated to digital acceleration.

Maintaining and sharing knowledge of requirements, key data types and data definitions, data stores, data creation process.

Support the life cycle management process for models.

Familiarity with ETL, SQL, SSIS, data warehousing and metadata management.

Actively participate in learning opportunities such as communities of practice to improve skills and better support the team.

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

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

⦁ 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.

Understand the user engagement with our merchant catalog and help enhance the browsing experience.

Research the user shopping experience and help build or improve processes.

Test the purchasing experience with merchants to identify points of confusion.

Strong experience with Microsoft Excel and Google Sheets

Experience with SQL and relational databases

Experience with R or Python for Data Analysis

You seize every opportunity offered

Let's go over the requirements:

Seeking ways to earn additional income on the side

Work quickly and efficiently, with excellent attention to detail

Always available and eager to take on extra work for more earnings

Your computer should be equipped with a newer version of a Search Engine.

Develop standard reports and commercial analysis to support the sales performance management

Experience with robotic process automation software & knowledge of AGILE methodologies preferred

Has skills with spreadsheets, databases, pivot tables and data query logic

Sound business knowledge specifically within a matrix organizational environment

Excellent communication (verbal and written) as well as interpersonal skills

Supports the sales incentive process for one or more commercial channels

Have access to any smartphone device

Driving license or another ID card document to be submitted should belong to yourself

You only need 1 document to take part in this project.

5 to 10 minutes to complete.

The rate shown is for one accepted participation (a project of 10 sessions = 20 pictures/videos).

Azure data engineering, data analyst and/or data science certifications

Excellent verbal and written communication, analytical and presentation skills  

Strong desire and business acumen for consultative solution selling

Minimum of two co-op work terms in related data engineering roles

Must be eligible to work 4 months starting in September

Registered in a formal co-op/internship program

Strong management and interpersonal skills

Experience in project management or coordination

Degree/diploma in GIS, Remote Sensing, Surveying, and/or Civil Engineering

1-2+ years’ experience in field drone operations related to the above industries

Ability to balance and prioritize responsibilities

Strong critical thinking and emotional awareness skills

Real-world Experience: Gain hands-on experience in a dynamic startup environment.

Skill Development: Broaden your understanding of data analysis within the sports betting industry.

Competitive Stipend: We offer a competitive stipend to all our team members.

You're a sports enthusiast with a keen interest in the betting domain.

You possess a solid foundation in data analytics and statistical analysis.

You're detail-oriented, analytical, and able to identify trends in large data sets.

•Possible support to achieve technical certifications.

Note: Possible conversion to Fulltime employment which is depends on training performance and technical/project requirements in company.

Looking for Fresh Graduates: Available to join immediately.

This will be of 3 months unpaid training program. Candidates must come onsite.

•Free training on cutting edge technologies (App development / Data / AI / ML / RPA. etc.).

•Free training on cloud technologies (Azure/Aws).

You’ll have full control over your schedule. We value trust, autonomy, goals, and elevating each other, not micromanagement.

Document your findings and make them applicable to Eli’s user experience and business model.

Work with the Quality Assurance and Regulatory Affairs Manager to see how your findings fit into the regulatory strategy.

You have experience in reviewing scientific literature and using tools such as Pubmed, sci-hub, and Google Scholar.

Consult with Eli’s medical advisors to validate the relevance of your research findings to the clinical setting.

Gain a deep understanding of our users by participating in customer validation calls and reviewing customer research.

Experience or knowledge in writing SQL queries and data pipeline.

Experience or knowledge in basic JavaScript, CSS, HTML, or frontend development.

Experience or knowledge in react.js, chart.js, recharts, and/or jQuery.js.

Experience or knowledge in machine learning, data mining, statistical modelling and forecasting considered an asset.

Desire and capacity to acquire new knowledge and develop new skills, specifically in the commodities trading industry.

Experience in scripting languages, preferably Python.

Experience using machine-learning or data engineering libraries/frameworks, master data management

Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently

Self Starter who takes initiative and is detail oriented and enjoys working in a collaborative team environment

Must be eligible to work 3 months starting in June 2023

One or more work terms in a data science, artificial intelligence, machine learning or software engineering related role.

Good familiarity with cloud application development and the tools required for building cloud-native data applications