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Data Analyst Engineer

We are hiring for a Data Analyst Engineer at ValPay, our Payment Business, to join our growing team in Montreal!

The successful Data Analyst Engineer will interpret complex data to extract actionable insights, aiding our team in making informed decisions. The primary objective revolves around data visualizations, statistical analysis and leveraging tools to make sense of large datasets. You will also be tasked with helping to maintain our organization's data infrastructure, ensuring that our data is accessible, reliable, and optimized for our team to analyze, with a focus on data pipelines, big data technologies, and ensuring data integrity.

Here is a little window into our company: ValPay, the payment processing arm of Valsoft Corp, operates and manages Valsoft's global portfolio of wholly owned software companies, providing mission-critical integrated payment processing solutions across multiple verticals. By implementing industry best practices, ValPay delivers a time-sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

Our motto is "Be Humble, Stay Hungry."

The successful candidate will be based anywhere within commutable distance of our office in Saint-Laurent, Montreal, working in a hybrid work model!

What your day will look like:

  • Data Acquisition: Identify and payment datasets from various internal and external sources, ensuring data quality and compliance
  • Data Cleansing: Cleanse and preprocess data to remove errors, inconsistencies, and duplicates, ensuring high data quality and reliability
  • Data Transformation: Develop and implement data transformation pipelines to convert raw data into structured formats suitable for analysis and reporting frameworks
  • Database Management: Manage data storage and retrieval systems, including databases, data warehouses, or data lakes
  • Collaboration: Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver tailored solutions
  • Documentation: Maintain clear and organized documentation of data pipelines, processes, and data sources
  • Data Analytics: Generate insights, trends, and correlations from collected data
  • Data Visualization: Generate dashboards and other interfaces to expose Analytics. Work with the development team to integrate these into merchant-facing products

About You:

  • Bachelor's or Master's degree in Data Science, Information Technology, Computer Science or a similar related field
  • Proven experience in data engineering, data visualization, using languages and frameworks from Python, R or other similar technologies
  • Proficiency in data manipulation and transformation using ETL tools
  • Strong SQL skills for data querying and manipulation
  • Strong Knowledge of data storage solutions like databases (SQL, NoSQL), data lakes, and data warehouses
  • Understanding of the basics of payment processing, including knowledge of payment gateways, credit card processing, and e-commerce, is a plus
  • Excellent problem-solving skills, attention to detail and ability to work independently
  • Ability to work independently and manage multiple tasks simultaneously in a fast-paced, always-evolving environment
  • Strong communication and teamwork skills
  • Detail-oriented with strong organizational skills
  • Fluent in English, both written and verbal, is essential
  • Legally authorized to work in Canada

For information about ValPay, please visit our website at: www.valpay.com

We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.

Average salary estimate

$75000 / YEARLY (est.)
min
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$60000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst Engineer, Valsoft Corporation

Join our vibrant team as a Data Analyst Engineer at ValPay, a key player in the payment processing sector of Valsoft Corp. Based in Montreal, this role is an exciting opportunity for someone who thrives on turning complex data into insightful narratives that drive informed decision-making. As a Data Analyst Engineer, your day-to-day will revolve around data visualizations, statistical analysis, and the utilization of big data technologies. You’ll also be hands-on in maintaining our robust data infrastructure, ensuring our datasets are reliable and easily accessible. The position requires you to dive into various data acquisition strategies while ensuring all collected data meets quality standards. You’ll work collaboratively with talented data scientists and analysts to design tailored solutions that solve business needs while documenting each step meticulously. If you are keen on creating engaging dashboards and visual analytics, this role is a perfect fit! Our motto at ValPay is 'Be Humble, Stay Hungry,' and we're looking for someone who shares that philosophy. You will be part of a hybrid work environment, contributing from anywhere within commutable distance to our Saint-Laurent office. If you hold a related degree, have a strong foundation in SQL, data manipulation, and possess problem-solving skills, we encourage you to apply and help shape the future of payment processing at ValPay!

Frequently Asked Questions (FAQs) for Data Analyst Engineer Role at Valsoft Corporation
What are the primary responsibilities of a Data Analyst Engineer at ValPay?

As a Data Analyst Engineer at ValPay, your main responsibilities include data acquisition, cleansing, transformation, and analytics. You'll also be tasked with managing data storage systems and collaborating with cross-functional teams to ensure data meets the requirements for actionable insights.

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What qualifications are required for the Data Analyst Engineer position at ValPay?

To be considered for the Data Analyst Engineer role at ValPay, candidates should have a Bachelor's or Master's degree in Data Science, Computer Science, or a related field. Proven experience in data engineering, strong SQL skills, and familiarity with data visualization tools are essential.

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What tools and technologies are utilized by Data Analyst Engineers at ValPay?

Data Analyst Engineers at ValPay utilize a range of tools, including ETL tools for data manipulation, SQL for data querying, and programming languages like Python or R to develop insightful data visualizations.

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How does the hybrid work model function for Data Analyst Engineers at ValPay?

At ValPay, the hybrid work model allows Data Analyst Engineers to work remotely while being available for in-office collaboration as needed. This flexibility aims to create a balanced work environment that fosters productivity and teamwork.

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What is the company culture like at ValPay for Data Analyst Engineers?

ValPay thrives on a culture of collaboration and innovation, encapsulated in our motto 'Be Humble, Stay Hungry'. Team members are encouraged to share ideas, work as a cohesive unit, and continually grow both professionally and personally.

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Common Interview Questions for Data Analyst Engineer
Can you explain your experience with data acquisition and how it relates to the role of a Data Analyst Engineer?

In your response, highlight specific tools and methods you've used for data acquisition, emphasizing quality control measures you implemented to ensure data integrity. This demonstrates your technical capabilities and your understanding of the data lifecycle.

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How do you approach data cleansing and why is it important?

Discuss your process for identifying errors and inconsistencies in datasets and techniques you use to cleanse data. Stress the importance of high-quality data to ensure reliable analysis and informed decision-making.

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What ETL tools are you familiar with and how have you used them in past projects?

Mention specific ETL tools you have experience with, and describe a project where you successfully implemented these tools to facilitate data transformation for reporting and analysis.

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Describe a challenging data-related problem you encountered and how you solved it.

Use the STAR method (Situation, Task, Action, Result) to narrate a challenge, what steps you took to resolve it, and the positive outcome that resulted from your actions.

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How do you ensure collaboration with data scientists and other teams?

Talk about your communication strategies, such as regular meetings or updates, and emphasize the importance of understanding their data needs to deliver useful solutions.

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What strategies do you use for effective data visualization?

Share your approach to creating intuitive dashboards, including selecting the right visualizations to convey your message, and mention tools you have used to create these visuals.

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How do you prioritize multiple data tasks in a fast-paced environment?

Discuss your time management skills, how you assess task urgency and importance, and any tools or methods you use to stay organized and productive under pressure.

Join Rise to see the full answer
Can you describe your experience with SQL and how it supports your role as a Data Analyst Engineer?

Detail your proficiency with SQL, including types of queries you commonly execute, and explain how this competency aids in data manipulation and analysis, making your insights more accurate.

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What role does documentation play in your work process?

Explain the significance of maintaining clear documentation for data pipelines and processes, highlighting how this practice ensures team collaboration, data tracking, and knowledge transfer.

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Why do you want to work as a Data Analyst Engineer at ValPay?

Use this opportunity to express your admiration for ValPay’s culture, projects, and the innovation in payment processing. Align your professional goals with the values and mission of ValPay, showcasing your enthusiasm for the role.

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Founded in 2011, Valsoft is a vertical software business that provides mission-critical solutions in their respective niche or market.Velsoft is located in Canada

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Full-time, hybrid
DATE POSTED
December 14, 2024

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