Senior Data Analytics Engineer

Senior Data Analytics Engineer-080239

Description

 

Job Location: Canada (Hybrid)

About the job you’re considering 

As a Sr. Data Analytics Engineer, you will play a pivotal role in transforming raw data into actionable insights, driving strategic decision-making across the organization. By partnering with cross-functional teams, this role will develop and implement scalable data solutions, automate processes, and enhance productivity through innovative data tools and platforms. The ideal candidate will leverage their expertise in data analytics and engineering to ensure high data integrity, reliability, and performance, ultimately contributing to the company's growth and success.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.

Your role

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Partner with Product, Engineering, Data Science & Analytics, Operations, Finance, and other cross-functional stakeholders to understand their needs and deliver data solutions that meet business objectives.
• Develop frameworks and scalable processes to streamline reporting, drive decision-making, and build first-class scalable data platforms/tools to deliver data quickly, reliably, and accurately.
• Implement automation solutions and explore/integrate AI capabilities into data tools and applications to enhance productivity and decision-making.
• Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests.
• Build and maintain robust data pipelines and data models using tools like SQL, Python, Airflow, ensuring high data integrity and performance.
• Constantly improves his/her professional level.
• Collaborates with other teams.

Your skills and experience

• Master's degree or equivalent in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• 6+ years of experience in data analytics in a high-growth environment.
• Ability to translate unstructured business problems into clearly defined requirements with minimal oversight.
• Ability to build automation solutions to improve revenue efficiency and scale business processes.
• Proficiency in SQL and Python and quantitative analysis; you can deep dive into large amounts of data, draw meaningful insights, dissect business issues, and draw actionable conclusions.
• Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems.
• Excellent communication skills (listening, written, and oral) with the ability to present findings and recommendations targeted to the audience in question.
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively.
• Strong attention to detail, structured thinking, and experience developing processes to reduce human error.
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.

   Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $65,200 - $138,940/year. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. 

Job

 : Programmer/Analyst

Schedule

 : Full-time

Primary Location

 : CA-ON-Mississauga

Organization

 : ERD PPL CAN