Lead Business Intelligence Developer
hace 3 días
Veeam Software is a global leader in data protection and ransomware recovery, empowering organizations to bounce forward from data outages or losses.
Our Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments, giving IT and security leaders peace of mind that their apps and data are protected and always available.
We protect over 450,000 customers worldwide, including 74% of the Global 2000, who trust Veeam to keep their businesses running.
The **Senior Data Analyst** will create impactful, best-in-class data products supporting data-driven decision making across the company.
This role collaborates with various departments, primarily Product Marketing and Marketing, gathering requirements and developing queries, preparing data sets, analyzing data, and creating visualizations that meet stakeholder needs and address business problems.
The **Senior Data Analyst** represents the Data Analytics team in cross-functional projects with various departments, leading the development of data products like Tableau visualizations.
- Collaborate cross-functionally to understand business challenges and objectives, clarify stakeholder requests, define clear requirements, and explain data sets and visualizations.
- Balance and prioritize multiple high-priority requests from various stakeholders simultaneously.
- Collaborate within Data Analytics team domain experts to learn about data sources and pull data for applicable business functions (Renewals, Sales, Marketing, etc.).
- Work with Corporate IT for any Tableau platform assistance like mobile compatibility, user set up, etc.
- Build and Cleanse Data Sets
- Identify what objects and fields contain data necessary to build the data sets required for meeting business request.
- Understand the organization's KPIs, metrics, and data structure and ensure standardization and alignment of logic across reports and dashboards.
- Write complex SQL scripts for creating data warehouse views, as inputs for creating data sets and Tableau extracts and for analyzing data outside the scope of dashboards.
- Communicate data warehouse requirements (data marts, views, calculations, etc) to data engineers, clarify questions, and validate implemented solution.
- Cleanse and validate data sets to resolve inconsistencies and errors, address data gaps, and ensure accuracy.
- Data Visualization and Reporting
- Translate user requirements into proof of concepts in Excel for short-term agreements and build out in Tableau for long-term scaling.
- Create best-in-class interactive Tableau dashboards and visualizations with drill-down capabilities that present complex data in a clear, concise, and easily digestible manner.
- Understand data security challenges and create data products that scale accordingly (build a standard Dashboard that can be consumed at multiple levels using row-level security).
- Documentation
- Document user requirements, data set models and logic, explanation of data set and dashboard metrics, calculations, and visuals.
- Create and update service desk tickets to track data analytics requests including making comments to stakeholders and logging work.
- Data Analysis
- Leverage advanced statistical and data analysis techniques, programming languages, and tools to perform data analysis that identifies insights.
- Interpret the trends, patterns, and results and provide findings and recommendations that the organization can leverage to make decisions.
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