Data Analyst

Stacktics; Toronto; Remote; USD 65,000 - 79,000; Full time

Job summary

An established industry player is seeking a Data Analyst to enhance its analytics capabilities. In this pivotal role, you will design and implement data strategies, develop scalable pipelines, and create insightful visualizations to drive business decisions. Your expertise in Python, SQL, and tools like Looker will enable you to uncover trends and opportunities, while your problem-solving mindset will foster a culture of data-driven decision-making. Join a dynamic team that values innovation and collaboration, and enjoy a flexible remote working policy along with a comprehensive benefits package. This is an exciting opportunity to make a significant impact in a growing organization!

Benefits

Flexible Remote Working Policy

100% Employer-Paid Benefits

Regular Lunch and Learns

Standing Desks

Fully-Loaded Kitchen

Fun Employee Events

Community Engagement Participation

Quarterly CEO Coffee Breaks

Qualifications

• 4+ years of experience in data analytics with measurable impact.
• Strong skills in Python and SQL for data manipulation.
• Experience with data visualization tools, especially Looker.

Responsibilities

• Analyze client data and formulate recommendations for analytics workflows.
• Develop and maintain scalable data pipelines and dashboards.
• Conduct advanced data analysis to inform product or marketing strategy.

Skills

Data Analytics

Python

SQL

Data Visualization

Machine Learning

Problem-Solving

Data Governance

Tools

Looker

Google Tag Manager

Google Analytics 4

Google Cloud Platform

Google Cloud BigQuery

Job description

The Data Analyst will play a key role at Stacktics Inc. and will be required to help create and maintain industry-leading quality and efficiency in service and data analytics delivery.

As a member of the Data Analytics team, you will be expected to meet and exceed Stacktics Inc.' quality standards while helping the organization rapidly expand its advanced analytics workflows and capabilities.

Key Responsibilities:

• Participate in the analysis of client data and formulate well-defined problem statements and recommendations for advanced analytical workflows, which are often very open-ended.
• Design and implement a comprehensive data and analytics strategy aligned with business objectives.
• Develop and maintain scalable data pipelines and ETL processes in collaboration with engineering teams.
• Create and maintain dashboards and data visualizations to support business decision-making using tools such as Looker.
• Lead the implementation and management of our marketing analytics stack, including Google Tag Manager (GTM) and Google Analytics 4 (GA4).
• Build and automate reporting systems for marketing and program performance.
• Conduct advanced data analysis to uncover trends, identify growth opportunities, and inform product or marketing strategy.
• Drive data democratization initiatives by enabling self-service analytics across teams.
• Establish data governance frameworks and ensure compliance with data privacy regulations.
• Gather, clean, and preprocess data from multiple sources to ensure accuracy and consistency.
• Collaborate with stakeholders across departments to translate business needs into analytical solutions.
• Continuously evaluate and improve data methodologies and workflows.
• Identify patterns from historical data, generate and test hypotheses, and provide product owners with actionable insights.
• Design testing processes, create and execute test cases for advanced analytical workflows.
• Troubleshoot and resolve issues and defects.

Company-Wide Responsibilities:

• Maintain and exceed client satisfaction with Stacktics’ deliverables, day-to-day work, and overall value as a partner.
• Cultivate opportunities for company growth and seek areas where Stacktics’ role could be expanded.
• Adapt to ever-changing client needs and expectations.
• Maintain dedication toward achieving excellence in delivering client solutions and overall organizational success.
• Be an enthusiastic, positive, and collaborative teammate and mentor who is always eager to learn.
• Stay up-to-date on relevant technologies, engage with user groups, and understand trends to ensure we are using the best possible techniques and tools.

Qualifications:

• 4+ years of experience in data analytics, with a proven track record of driving measurable impact.
• 3+ years of experience using Python; experience in other programming languages will also be considered.
• 3+ years of experience using SQL, with a strong ability to write large, dynamic analytical queries.
• Experience with data visualization tools; Looker and LookML experience is a must.
• Strong foundation in data engineering, data governance, and business intelligence best practices.
• Experience working on a cloud platform (GCP preferred).
• Deep understanding of marketing analytics platforms (GTM, GA4, GA360) and their implementation is a strong asset.
• Interest in developing machine learning skill sets; basic knowledge and understanding of machine learning concepts is a plus.
• Knowledge or experience in data engineering is highly desirable.
• Familiarity with large-scale OLAP databases and data warehouses; strong understanding of Google Cloud BigQuery is preferred.
• Technical understanding of marketing concepts such as cookie-based data collection, audience segmentation, attribution modelling, A/B testing, and marketing KPI calculations is a plus.
• Proven track record in uncovering insights through data exploration, pattern recognition, and advanced analytics techniques.
• Develop creative and practical data-driven solutions by leveraging statistical analysis and predictive modeling to address business challenges. Clearly articulate findings and approaches to both technical teams and business stakeholders.
• Skilled in applying machine learning algorithms, forecasting methods, optimization strategies, or natural language processing to real-world use cases.
• Driven by curiosity and a problem-solving mindset, with the ability to apply the right tools and techniques to a variety of analytical scenarios.

Compensation:

• Salary is commensurate with experience
• Salary band is $65,000-$79,000

WHAT'S IN IT FOR YOU?

• Flexible Remote Working Policy (within Canada)
• 100% employer-paid benefits package
• Regular Lunch and Learns from your Team Mates
• Standing desks
• Fully-loaded kitchen: snacks/fruit/drinks
• Fun Employee Events and Activities
• Participation in Community Engagement
• Quarterly CEO coffee breaks