Sr. Data Analyst
Role Overview:
Collaborate with business partners to understand challenges and develop data-driven solutions using data resources. Ensure business partners can access and utilize data for better decisions via tables or dashboards. Act as the final authority on data products, blending BI analyst and Analytics Engineer responsibilities, influencing company success.
Key Responsibilities:
- Act as the data product SME, collaborating with leaders, engineers, scientists, and developers to deliver timely data solutions.
- Liaise with business partners to understand data needs, translate business problems into technical solutions, and drive adoption.
- Develop data models, tables, and dashboards for insights and decision-making.
- Design flexible dashboards to expedite answers to business questions.
- Advocate for multi-team data solutions and promote adoption through training and webinars.
- Conduct independent research on product experiences and data, providing critical insights.
- Integrate new third-party data sources to enhance performance.
- Establish best practices for analytical insights, ensuring integrity, testing, validation, and training.
Experience:
- 3+ years in Analytics/BI, leading projects and creating data solutions in a cloud environment.
- Advanced in data visualization platforms (Power BI, Tableau, Qlik).
- Intermediate in Python 3 (Pandas, Polars, Spark) or R.
- Experience with self-service analytics, Azure Cloud, PowerBI, and Databricks.
- Handling large structured and unstructured data volumes.
Skills:
- Strong SQL proficiency.
- Deep understanding of data warehouse/modeling concepts.
- Proficient in Azure architecture and PowerBI.
Additional Experience:
- Azure Synapse, Databricks, ADLS Gen 2
- Google Analytics, Firebase, Big Query
- Event Hubs, Kafka, Salesforce, SAP, Tealium