Senior Data Analyst – Data Infrastructure Development & Maintenance

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

Job summary

A leading global provider in research analytics seeks a Senior Data Analyst to enhance data infrastructure and deliver impactful research insights. The role emphasizes Python and SQL proficiency, supporting a collaborative team to drive innovative solutions for research intelligence. Join Elsevier to empower global research efforts.

Benefits

Health plan benefits

Employee Assistance Program

Retirement Benefits

Paid Vacation

Up to two days of paid leave for volunteering

Qualifications

• Proven experience developing and maintaining data infrastructure and pipelines.
• Strong proficiency in Python and SQL with experience in ETL workflows.
• Familiarity with Large Language Models (LLMs) and code version control (Git).

Responsibilities

• Lead the development and optimization of the in-house Python-based data library.
• Collaborate with data scientists to implement and optimize data pipelines.
• Ensure documentation and adherence to development conventions.

Skills

Python

SQL

Data Infrastructure

Analytical Workflows

Data Pipelines

Tools

PySpark

DuckDB

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:

• Health plan benefits
• Employee Assistance Program
• Retirement Benefits
• 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

• Industries

  IT Services and IT Consulting

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