Senior Data Analyst – Data Infrastructure Development & Maintenance

Elsevier; Montreal; On-site; CAD 80,000 - 110,000; Full time

Job summary

Elsevier is looking for a Senior Data Analyst to join its team in Montreal. This role involves developing and maintaining advanced data infrastructures to support research intelligence. Ideal candidates will possess strong Python skills and experience in data management, delivering insights that empower global research capabilities.

Benefits

Employee Assistance Program

Various Leave Programs

Educational Assistance

Paid Vacation

Disability, Life, and Accidental Death Insurance

Qualifications

• Proven experience developing and maintaining data infrastructure.
• Strong proficiency in Python, including ETL workflows.
• Experience with code version control (Git) is essential.

Responsibilities

• Lead development and maintenance of Python-based data libraries.
• Collaborate with data scientists to implement new pipelines.
• Monitor and improve data workflows using PySpark and SQL.

Skills

Python

Data Management

ETL Workflows

Version Control

Data Analysis

Education

Degree in Information Technology or related field

Tools

PySpark

DuckDB

SQL Databases

AWS

Job description

Senior Data Analyst – Data Infrastructure Development & Maintenance

Join to apply for the Senior Data Analyst – Data Infrastructure Development & Maintenance role at Elsevier

Senior Data Analyst – Data Infrastructure Development & Maintenance

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Join to apply for the Senior Data Analyst – Data Infrastructure Development & Maintenance role at Elsevier

Senior Data Analyst – Data Infrastructure Development and Maintenance

Would you like to be part of a global innovative team using the latest technologies to empower advanced analytical capabilities?

Does developing scalable solutions and delivering impactful insights for research intelligence excite you?

About The Team

As a leading international provider of high quality bibliometric and research evaluation services, the Analytical and Data Services (ADS) team helps position Elsevier as a trusted partner of leading institutions, funders, and governments it serves.

About The Role

Join our global research intelligence team as a Senior Data Analyst, playing a pivotal role in the development, optimization, and maintenance of our advanced data infrastructure. Our custom-built Python library enhances data production, discovery, and analysis, streamlining processes and replacing legacy pipelines. You'll be at the heart of maintaining and enhancing this critical infrastructure, ensuring seamless data workflows and empowering advanced analytical capabilities.

You’ll be instrumental in enabling our research analysts to efficiently discover, analyze, and produce high-quality insights that empower our global research intelligence capabilities.

Responsibilities

• Leading the development, optimization, and maintenance of our in-house Python-based data library, ensuring robustness, scalability, and ease of use.
• Collaborating with data scientists and analysts to implement new data pipelines, optimize existing processes, and support analytical workflows.
• Continuously monitoring and improve data workflows, leveraging PySpark, DuckDB, and SQL databases.
• Evaluating and incorporate new methodologies and analytical approaches into the data infrastructure.
• Ensuring comprehensive documentation and adherence to established development conventions and versioning practices (Semantic Versioning, Conventional Commits).
• Conducting thorough testing and validation using established caching mechanisms to maintain data accuracy and performance.
• Actively participating in code reviews, fostering best practices in software development and data management across the team.

Requirements

• Have proven experience developing and maintaining data infrastructure, pipelines, or analytical libraries.
• Possess strong proficiency in Python, with demonstrated experience in PySpark, DuckDB, SQL databases, and ETL workflows, or a clear ability to pivot quickly to these technologies.
• Have prior experience with code version control (Git)
• Experience in academic or scientific publication domains helpful
• Familiarity with Large Language Models (LLMs) and APIs preferred
• Experience with AWS services (EC2, S3, Lambda) helpful
• Familiarity with developing within Databricks environments.

Work In a Way That Works For You

We promote a healthy work / life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working For You

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer :

• Employee Assistance Program
• Various Leave Programs
• Educational Assistance
• Disability, Life and Accidental Death Insurance
• Paid Vacation
• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with charities and causes that matter to you

About The Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

IT Services and IT Consulting

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