Drive impactful data analysis projects in a dynamic, collaborative environment. Shape strategic decisions with actionable insights and scalable reporting solutions. Gain visibility with senior leadership and cross-functional collaboration.

Data Analyst
in Information Technology PermanentJob Detail
Job Description
Overview
- Support the delivery of the business intelligence roadmap through dashboard creation and analytical insights.
- Collaborate with stakeholders to define reporting needs and prioritize deliverables.
- Conduct analytical deep dives to answer strategic questions and support decision-making.
- Develop scalable reporting assets and maintain consistent KPI definitions.
- Contribute to forecasting and engagement analysis initiatives.
- Provide training and support for internal users on dashboards and self-service capabilities.
- Collaborate across departments including Membership, Operations, IT, Marketing, Events, and Finance.
- Participate in quarterly prioritization and roadmap review processes.
Key Responsibilities & Duties
- Build dashboards and reports aligned with certified KPI definitions and star schema.
- Partner with the BI Director to document requirements and prioritize deliverables.
- Conduct ad hoc analyses to support strategic initiatives and member engagement.
- Collaborate with data engineers to optimize data model structures for advanced analytics.
- Support the development of forecasting models through historical trend analysis.
- Assist in data quality testing and validation processes with IT teams.
- Contribute to the KPI catalog and business logic documentation.
- Provide training to internal users on dashboard functionalities and self-service tools.
Job Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or related field.
- 5-7 years of experience in an analytical or business intelligence role.
- Proficiency in SQL and experience with relational databases.
- Familiarity with BI tools such as Metabase, Tableau, or Power BI.
- Experience analyzing marketing, membership, or customer engagement data.
- Knowledge of data science concepts and machine learning techniques preferred.
- Experience with dbt and Salesforce data is a plus.
- Strong communication skills and a collaborative mindset.
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