Financial Data Analyst Contractor
DNAnexus Zobrazit všechny práce
- Praha
- Smlouva
- Plný úvazek
- Act as a finance team subject matter expert on internal data sources and structures, contributing to the design and development of a semantic layer for enterprise and financial analytics.
- Monitor and analyze financial, business, and key operational metrics to track progress towards goals and support data-driven organizational decisions
- Participate in budgeting processes and conduct variance analyses in collaboration with functional leaders and the accounting team.
- Develop and manage cloud cost-attribution models from COGS to Revenue.
- Perform ad-hoc analyses to support business needs
- Lead initiatives to identify inefficiencies and optimize cloud costs, leveraging both provider tools and internal dashboards to achieve significant savings.
- Develop new metrics and performance reporting as the business evolves.
- Create and maintain comprehensive business and technical documentation for financial data processes.
- Empower others to utilize data effectively for strategic insights through advocacy and education.
- Minimum 3 years of experience working in analytics in finance, product, operations, or related areas.
- Intermediate SQL proficiency, with ability to write complex queries, stored procedures, and performing data manipulation for large datasets.
- Expert user of Tableau, Superset, or other BI tools for creating dynamic dashboards and data visualizations that translate complex data into actionable business insights.
- Hands-on experience with AWS Redshift or any other SQL-based database.
- Experience with NetSuite or similar accounting software.
- Highly analytical and passionate about the collection of data and providing critical insights to drive high demand and growth.
- Clear and direct communication skills for complex, technical topics.
- A strong ability in presenting complex financial data clearly to diverse audiences, including leadership and both technical and non-technical stakeholders.
- Solid ability to continuously improve, eagerness to learn new tools, and a proactive approach to optimizing current processes.
- Comfortable navigating shifting business requirements and reprioritizing workstreams to meet the needs of executive stakeholders.
- Ability to navigate ambiguity in data and business logic to deliver structured insights and reliable reporting.
- A "can-do" attitude with a willingness to tackle tasks hands-on.
- Ability to work independently and collaboratively within teams.
- Proficiency in Python or other scripting languages.
- Experience with modeling tools such as DBT or ETL tools such as Airflow.
- Curiosity and humility. We are dedicated to learning and constantly improving. We hope you also value "unknown unknowns" and have a natural drive to figure out how everything works.
- Agility and ownership. Our teams have a high degree of freedom on how they build their systems, but they also take full ownership of what they deliver, in the long run.
- Monitoring and automation. We strongly believe that a fully automated system is key to rapid iterations, while an extensive set of metrics highlights what needs to be done.
- Balancing research and product. We value staying up-to-date on cutting edge research, while also shipping meaningful products enabling researchers to fulfill their mission.