Business Intelligence Analyst II
2 weeks ago
We are collaborating with Releady to recruit a Business Intelligence Analyst II for their Data Enablement team to support a critical initiative. This team is dedicated to developing scalable semantic frameworks that enhance data accessibility and comprehension throughout the organization. They work closely with product and engineering leaders, managing the data lifecycle from strategic planning and prototyping to execution, executive dashboards, and product-level self-service assistance.
RESPONSIBILITIES
Reporting to the Senior Manager of Data Enablement, this position will utilize product telemetry, web analytics, and associated datasets to derive customer-focused insights. You will detect patterns, irregularities, and trends to guide product strategies. In a typical week, your tasks will include exploring new datasets, profiling data, validating feature launch metrics, proposing new measurement opportunities, and presenting insights to stakeholders across product, engineering, and design teams.
- Examine clickstream datasets to reveal customer journeys and pathways
- Integrate clickstream data with product telemetry to identify gaps and overlaps
- Create reusable data models in Snowflake, Tableau, or both to facilitate ongoing analysis
- Inform and educate data stakeholders with newly available objects and models that will unlock product and business insights
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Collaborate with other Business Data Analysts to generate composite measures and insights that span the product unit
- Prioritize data privacy and governance at all stages of the data lifecycle
- 3+ years of experience in data management, data engineering, data analytics, product management, or a related field
- 3+ years of practical experience with data visualization tools (Tableau, Looker, PowerBI, etc.)
- 2+ years of SQL proficiency
- Meticulous attention to detail with a focus on profiling datasets for completeness, structure, and accuracy
- Ability to convey findings to a diverse range of audiences, both technical and non-technical
- Extra credit for experience in any of the following:
- Third-party web analytics tools (Heap, Google Analytics, Adobe Analytics, etc.)
- Cloud-based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
- Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.)
- Paywall, subscription, or authentication-based products
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