Data Intern Jobs

Translate technical requirements in a non-technical way to business stakeholders.

Work closely with team of experts, locally and remotely to ensure quality and timeliness of data.

Previous Engineering experience is an asset, but not mandatory.

A results and detail-oriented professional with strong analytical, problem solving skills and strong attention to detail

Effective communication and interpersonal skills.

Responsible for developing and maintaining data models for advanced analytics.

Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.

Work with business and technology partners to define, develop and document detailed business, data and system requirements.

Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.

Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.

Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.

Able to manage multiple priorities and work independently, as well as part of a team.

Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects

Familiarity with source code management such as GIT

Adhere to standard security coding practices to ensure application is free of coding vulnerabilities

Test Data Tools Knowledge (CA TDM or Delphix)

Skills that would be an asset, but not required

This Program Is Designed To Complement Your On-the Job Experience And Features

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.

Minimum Requirements For The Role

In This Role, You Will

An Ideal Candidate Also Has

Effective time management skills and strong attention to detail

Contribute to documentation and knowledge sharing activities to ensure that the team's work is well documented and accessible to others

Experience with data modeling and data architecture

Experience with Databricks, H20, Power BI, Tableau

Learn to design and build data pipelines for common business use cases

Develop and maintain data processing workflows

Effective time management skills and strong attention to detail

Contribute to documentation and knowledge sharing activities to ensure that the team's work is well documented and accessible to others

Experience with data modeling and data architecture

Experience with Databricks, H20, Power BI, Tableau

Learn to design and build data pipelines for common business use cases

Develop and maintain data processing workflows

⦁ 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

Effective time management skills and strong attention to detail

Contribute to documentation and knowledge sharing activities to ensure that the team's work is well documented and accessible to others

Experience with data modeling and data architecture

Experience with Databricks, H20, Power BI, Tableau

Learn to design and build data pipelines for common business use cases

Develop and maintain data processing workflows

Minimum Requirements For The Role

We require all applicants to fill out our online application. For more details go here: https://day-one-recruit.confetti.events

In This Role, You Will

An Ideal Candidate Also Has

Strong self-management and organizational skills to manage multiple priorities in a fast-paced environment

Manage processes to continually maintain and improve data quality

Interact with other departments such as Performance Measurement, Risk, Compliance, Investment Finance and Investments to assist with ad-hoc data requests.

Manage organizational and productivity tools in Office 365 using SharePoint, Planner and Power Automate, and Confluence.

Working towards an undergraduate degree in Business, Finance, Math, Statistics, or Computer Science or related field.

Working knowledge of relational databases and SQL, VBA or other programming languages is preferred

Experience working as a Data Entry Clerk;

Learn various project management, data management, and accounting software and ensure data consistency across all platforms;

The opportunity to gain experience with a variety of software and learn new skills;

Support the admin and accounting teams with data entry;

Assist with basic accounting and marketing functions related to data entry;

Have an opportunity to apply your academic knowledge to contribute to the team’s success;

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

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

Experience with commercial asset management software systems, an asset

Education, Job-related Years Of Experience & Qualifications

Generates portfolio summary reports utilizing asset management software

Accreditation to work in specific assessment management software, an asset

Location: Hybrid, remote and in-office at Markham Head Office

Ability to coordinate and monitor workflow to ensure timely completion of activities along with strong organizational 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).