Senior Data Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Analyze and model intricate datasets to uncover trends, optimization prospects, and actionable insights.

• Develop and uphold reporting systems, dashboards, data models, and key performance indicators (KPIs).

• Create scalable analytical workflows for data intake, validation, mining, transformation, visualization, and communication.

• Utilize large language models (LLMs) and cutting-edge AI technologies to analyze and process data consistently and at scale.

• Convert data into vivid narratives, findings, recommendations, and their business implications.

• Set and uphold data quality standards and control measures.

• Collaborate with Product, Sales, Solutions, Finance, and other departments to deliver analytical solutions.

• Anticipate future reporting and analytics requirements and develop scalable solutions.

⛳️ Requirements

• Over 7 years of experience working with complex datasets, encompassing data analysis, manipulation, modeling, and deriving actionable business insights.

• Proficient in SQL, including the ability to query across multiple tables, perform complex joins, subqueries, and manage large datasets.

• Extensive knowledge of data mining and analytical methodologies, including predictive analytics, hypothesis development, experimental design, statistical analysis, and converting results into actionable recommendations.

• Experience in designing and creating dashboards, reporting solutions, data models, or databases that aid in decision-making.

• Familiarity with data lakes or contemporary cloud data environments.

• Hands-on experience employing LLMs or other AI tools to analyze, classify, transform, or process data at scale.

• Proven record of utilizing analytics to address business challenges, pinpoint opportunities, and foster organizational growth.

• Strong problem-solving and quantitative abilities, with a high standard for data quality and precision.

• Capability to convey complex findings clearly to both technical and non-technical stakeholders.

• Excellent collaboration skills and experience working across functions to drive analytical projects from problem definition through to execution.

• Experience with Databricks is advantageous.

• Experience in designing and optimizing analytical pipelines is a plus.

🏝️ Benefits

• Remote work.

• Flexible work environment.

• Opportunities for career growth and collaboration.

• Creative, diverse, and passionate team atmosphere.

• Equal employment opportunity.

• Disability accommodations throughout the application process.