Aspire.io is seeking a BI/Data Analyst to build systems and dashboards that provide accurate, timely, and easy-to-digest data for evaluating the success of marketing efforts for their customers, including major brands like M&Ms, Keurig, Samsung, and HelloFresh.
Requirements
- 3+ years experience as a BI Analyst or Data Analyst at a SaaS company.
- Proficiency with SQL for data querying and manipulation and BI and data visualization tools like Tableau for analyzing and visualizing complex datasets.
- Experience with data warehousing concepts and ETL processes (e.g., using Airflow DAGs).
- Strong understanding of business intelligence principles and methodologies.
- Proven experience delivering self-serve BI solutions that empower teams and scale well.
- Excellent data visualization skills with an eye for design and clarity in communicating insights.
- Deep understanding of data structuring, modeling, and storytelling.
Responsibilities
- Own and evolve our BI reporting stack, from ingestion and ETL to data modeling and Tableau dashboards.
- Define the BI playbook and lead the technical strategy for our internal self-serve insights platform.
- Build scalable, high-quality data visualizations and dashboards to support decision-making across Product, Marketing, Sales, and Customer Success.
- Embed analytics into the product experience, surfacing actionable insights for our customers.
- Drive strategic analytics initiatives and partner with company leadership to turn insights into execution plans.
- Lead the charge in centralizing organizational data into a unified analytics fabric.
- Act as a problem-solver and internal consultant, proactively identifying trends, anomalies, and causal relationships in business and product data.
Other
- Demonstrated ability to structure executive-level presentations with compelling narratives and clean visuals.
- Strong analytical thinking, critical problem-solving, and a bias for action.
- Self-starter mentality - you take initiative, own outcomes, and love rolling up your sleeves.
- Collaborate with cross-functional stakeholders to prioritize BI needs and prepare for evolving data requirements.
