Data Analyst

Remote role, work to be done 9-5 EST

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.

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.

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.

Our Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster a progressive culture, creativity, and a flexible work environment using cutting-edge technologies.