Business Intelligence Analyst 2

Role overview Drive data-informed decisions on a remote Customer Experience Operations team serving strategic product initiatives. This Business Intelligence Analyst role turns messy, disparate data into clear, actionable insight that shapes product, compliance, and delivery strategy across the organization. It is a strong fit for a curious, action-oriented analyst who enjoys partnering with stakeholders at every level and owning analytics end to end.

Responsibilities

- Partner with technical program managers to define OKRs, design insight-generating reports and dashboards, and source data across functions. - Write complex SQL and SQL-like queries, then communicate findings using data visualization tools such as Tableau. - Standardize, document, and maintain metrics, models, datasets, and dashboards for ongoing reuse. - Source and interpret data to support both time-critical and strategic decisions. - Enable adoption of dashboards by working closely with leaders and end users. - Measure product performance and value through clear metrics, collaborating with product and business leadership. - Ensure consistent data quality and availability throughout the product development lifecycle. - Act as a trusted advisor to stakeholders, building strong cross-functional relationships.

Requirements

- 3–5 years of professional experience in quantitative analysis, dashboard development, and reporting. - Track record of turning ambiguous, messy data into tangible results that influence product or business decisions. - Strong strategic thinking and ability to drive projects independently in fast-paced, sometimes ambiguous environments. - Excellent verbal and written communication skills. - Proficiency writing complex queries and performing deep data dives in SQL or SQL-like relational languages. - At least 2 years of hands-on Tableau experience building and managing dashboards. - Demonstrated ability to run analytics projects end to end, including data extraction, cleansing, mapping, and operationalization.

Nice to have

- Hands-on experience with generative AI tools such as Gemini, GitHub Copilot, or ChatGPT to streamline SQL, analysis, and documentation. - Domain familiarity with telephony, email, messaging, social media, or other electronic communications. - Experience with data warehousing, ETL processes, or distributed computing technologies such as Hive, Presto, Spark, or Zeppelin. - Exposure to additional BI tools like Looker. - Comfort working with unstructured data.

Benefits and work setup

- Remote position based in Colombia, with occasional in-person team or project meetings. - Standard benefits including competitive pay, generous time off, parental and wellness leave, healthcare, and a retirement savings program (offerings vary by location).