Analytics Engineer Associate

LinkedIn; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading technology company is looking for an Analytics Engineer Associate to join their remote team. The role involves providing data-driven insights, supporting strategic projects, and ensuring data accuracy. Candidates should have a BS degree in a quantitative field and 4 years of relevant experience, including skills in SQL and Python. This position emphasizes collaboration and effective communication with stakeholders.

Qualifications

• BS degree in a quantitative discipline.
• 4 years of experience working with data in a business setting.

Responsibilities

• Lead data-driven recommendations to support strategic projects.
• Understand business to provide insights and recommendations.
• Support company-wide programs through analytical projects.

Job description

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is remote meaning it will be performed from the designated home work location upon time of hire and any changes to this home work location requires a review of remote status and approval.

We are looking for an Analytics Engineer Associate to join our team.

Responsibilities

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Understand the business track operational performance provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership finance sales operations systems) to achieve objectives
• Build dashboards and automated reports working proficiently with data visualization and querying / analysis tools (e.g. Tableau SQL Python)
• Own data tables and work with stakeholders to ensure available data is accurate consistent and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Possibility to learn & implement advanced analytics tools for optimization (e.g. Cloud hosting Job automation Artificial Intelligence techniques Natural Language generation)

Qualifications

Basic Qualifications

• BS degree in a quantitative discipline
• 4 years of experience working with data in a business setting including data management process execution operations reporting or analytics

Preferred Qualifications

• Ability to leverage numbers and insights to influence & drive sound decision making
• Ability to build strong partnerships and collaborate with stakeholders
• Experience in communicating effectively and presenting to Senior Executives
• Experience with manipulating massive-scale structured and unstructured data
• Experience creating and maintaining business-critical data warehouse tables using SQL
• Experience with workflow orchestration tools (e.g. Airflow Prefect Dagster)
• Experience with distributed data systems such as Hadoop and related technologies (Spark Trino etc.)
• Background in at least one programming language (e.g. R Python Java Scala)

Suggested Skills

• SQL
• Python
• Spark

Additional Information

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Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics

Employment Type: Full-time

Department / Functional Area: Finance

Experience: years

Vacancy: 1