Financial Data Analyst Contractor at DNAnexus

Capital City of Prague, Prague, Czechia -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Tableau, Data Visualization, AWS Redshift, NetSuite, Analytical Skills, Communication Skills, Cloud Cost Optimization, Budgeting, Variance Analysis, Data Documentation, Performance Metrics, Ad-hoc Analysis, Process Improvement, Python, ETL Tools, DBT

Industry

Biotechnology Research

Description

Company Description DNAnexus is the enterprise platform for precision health. We are on a mission to accelerate the development, approval and delivery of personalized treatments. Building on 15 years of bioinformatics innovation and genomics expertise, DNAnexus provides the cloud platform that centralizes and enriches multimodal omics data, supports an extensive suite of informatics use cases, and allows secure collaboration across the care continuum. DNAnexus powers a connected ecosystem trusted by the world’s precision health leaders. This flexible ecosystem makes omics and real-world data accessible, actionable, and secure, while unlocking insights that improve patient lives. For more information visit www.dnanexus.com or follow @DNAnexus on social media. As we pursue these goals, it remains essential to us that we stay grounded in our values and adhere to the highest standards. At DNAnexus, you will be joining an ambitious, supportive, and driven team with diverse backgrounds but a shared passion to deliver on our mission to make personalized medicine a reality for all. Job Description Who We’re Looking For As a Financial Data Analyst, you will serve as the subject matter expert on internal data structures, designing the semantic layer for financial analytics. You will bridge the technical-financial gap by executing complex SQL queries on large datasets to support Finance and Accounting with budgeting, margin analysis, and cloud-cost optimization. Your primary responsibility is to translate technical data into clear performance metrics and actionable insights for leadership. This role requires a proactive approach to developing reporting tools, maintaining technical documentation, and educating stakeholders on data utilization. Key Responsibilities 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. Qualifications 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. Nice to have Proficiency in Python or other scripting languages. Experience with modeling tools such as DBT or ETL tools such as Airflow. What We Care About 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. Additional Information Headquartered in Mountain View, California, with over 220 team members across the United States and Europe, DNAnexus is experiencing rapid growth and market adoption. With the support of leading investors including Google Ventures and Blackstone, and trusted by hundreds of the world's biomedical leaders, the company is at the innovative forefront with our precision health data cloud to drive scientific breakthroughs. If you are interested in joining our team, please apply today!

Responsibilities

The Financial Data Analyst will act as a subject matter expert on internal data structures and support Finance and Accounting with budgeting and cloud-cost optimization. They will also develop reporting tools and maintain documentation to empower stakeholders in utilizing data effectively.