Broadsign
software
AccountAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Account Analyst at Broadsign. Skills: SQL, Python, AWS, BI tools. support daily data operations. support monthly data operations”
What You'll Achieve.
generate significant business impact; ensure clients succeed
Industry & Context.
solve real-world problems; generate significant business impact; problem-solving skills; critical-thinking skills; tackle problems not encountered before; diagnose and address client-facing data issues
Knowledge of French is required, Fluent English is required
What They're Looking For.
Must Have
SQL, Python, Snowflake, AWS platforms, statistical analysis, visualization, machine learning, problem-solving skills, critical-thinking skills, communication on technical matters, work effectively within a team, independent ownership of tasks
Nice to Have
software engineering best practices (CI/CD), GIS data and systems, web languages/standards, French
What You'll Do.
support daily data operations
support monthly data operations
build monitoring processes
ensure high performance
diagnose client-facing data issues
address client-facing data issues
independent coding projects
independent analysis projects
explore new methodologies
contribute creative ideas
How You'll Work.
Team & Collaboration
working closely with commercial teams; key collaborator for engineers; key collaborator for data scientists; key collaborator for business leaders; work effectively within a team
Communication Scope
communicate clearly on technical matters; Fluent English
Full Job Description
Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world. About the Role As a Data Analyst at Broadsign, you will join our Data Science & Analytics team to solve real-world problems and generate significant business impact. You will play a pivotal role in supporting our data-driven product portfolio, working closely with commercial and engineering teams to ensure our clients succeed in the rapidly growing Digital Out of Home (OOH) media channel. What to Expect Data Operations & Product Performance: You will support daily and monthly data operations while helping to build monitoring and QA processes. This includes learning the methodologies behind our data products and ensuring high performance through detailed reporting. Commercial Support & Problem Solving: Working with commercial team members, you will diagnose and address client-facing data issues. You will be a key collaborator for engineers, data scientists, and business leaders to drive data-driven decision-making. Innovation & Independent Analysis: You will take ownership of independent coding and analysis projects to explore new methodologies. We expect you to contribute creative ideas for new innovations that will help shape our future product roadmap. What you need to perform in this job Technical Proficiency: Strong experience with SQL and business intelligence tools like Looker or Tableau. You should be comfortable coding in Python and have experience with Snowflake and AWS platforms. Experience with software engineering best practices (CI/CD) and GIS data and systems is a plus, as is experience with web languages/standards. Analytical Mindset: Formal training in data science, including statis
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