Title: Sr Data Analyst
Duration: 12+ Months
Location: 100% remote in Canada
Core hours 9-5 EST
 
Role Summary

• Virtual and augmented reality are transforming design and creation through new immersive and collaborative experiences that will impact how major segments like entertainment, architecture, engineering, construction, and manufacturing converge.
• The industry is being transformed by XR technology growth, creating new ways of working to review, collaborate and create.
• As a Data Analyst, you help teams make smarter, more informed decisions by turning raw data into clear, actionable insights.
• You’ll collect, clean, and analyze data, build reports and dashboards, and support ongoing business questions with timely, accurate analysis.
• In this role, you’ll work closely with experienced analysts and cross-functional teams, building your technical skills and learning best practices along the way.

 
Key Responsibilities

• Build and maintain dashboards for various teams (Sales, Customer Success, Marketing, Product, etc.)
• Execute ad-hoc reporting requests and exploratory user behavior analysis
• Take ownership of data pipelines, from data ingestion to data modeling to analytics.
• Lead the design, build, test, and release of solutions to generate insight from a variety of data sources.
• Collaborate with stakeholders to gather requirements and deliver actionable insights
• Break down high-level requirements into comprehensive epics and smaller tasks that can be easily managed and tracked.
• Organize and maintain a Jira backlog, ensuring that epics and tasks are clearly defined, prioritized, and updated regularly.
• Lead sprint planning.

• Ensure data accuracy, consistency, and integrity by following best practices in data collection, cleaning, and analysis, allowing for high-quality insights. Identify and resolve data discrepancies as needed.

• Mentor and support junior analysts by providing technical guidance, sharing best practices, and fostering a culture of continuous learning within the team
• Ensure documentation is kept up to date with any changes or enhancements to data engineering processes, workflows, and systems.

 
Minimum Requirements

• 5 years of relevant industry experience in big data systems, data processing, and SQL databases.
• 3+ years of hands-on programming skills, able to write modular, maintainable code, preferably in Python
• Strong understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake.
• BI Tools: Experience with Power BI for dashboard creation and sharing insights
• Data Stack Exposure: Familiarity with Snowflake, DBT, Fivetran, and Airflow (hands-on experience is a plus, but can be learned on the job)
• Experience with Product Analytics
• Strong technical skills and interest in learning best of class technologies around data warehousing, data wrangling, and data quality.
• Ability to manage multiple projects simultaneously and prioritize tasks effectively.
• Strong communication & collaboration skills.

 
Are there any technical tools/applications you would like the candidates to be proficient with.

• BI Tools: Experience with Power BI for dashboard creation and sharing insights
• Data Stack Exposure: Familiarity with Snowflake, DBT, Fivetran, and Airflow (hands-on experience is a plus, but can be learned on the job)

 
What are the 3 "must haves" on the resume?

• 5 years of relevant industry experience in big data systems, data processing, and SQL databases.
• 3+ years of hands-on programming skills, able to write modular, maintainable code, preferably in Python
• Strong understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake.

 

 


At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $60.00/hr.