Finance Business Intelligence Analyst

Asapp-2 in Remote - Argentina

At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our interaction platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.

As a foundational member of our Finance Business Intelligence team, This position reports to our SVP of Finance and will partner across ASAPP to design and build new datasets, reporting tools, and analytics modules to enable data-driven business decisions. This is an excellent opportunity for someone who is motivated to operate in an extraordinarily fast-paced environment, adaptable to evolving responsibilities and priorities, and is seeking out interesting work in a cutting-edge industry.

The ideal candidate will have the ability and desire to: wear many hats throughout the course of a day, be comfortable making contributions that span from detailed analysis to executive level summation and interact across all levels and functions of the organization. Our work environment is open and fast paced and this role presents a great opportunity for individual growth while helping to build our growing organization from the ground up.
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Remote
    • Work closely with stakeholders across Finance and Engineering to make high quality datasets available to consumers in a timely manner
    • Build and execute data ingestion, data modeling and data warehousing, and reporting projects
    • Lead technical delivery, implementation, and business adoption of new scalable and reliable data analytics, and BI solutions for cross-departmental Leadership and Business teams
    • Become familiar with our data consumption portals and their capabilities
    • Build expertise and ownership of data quality for supported domains
    • Deliver performant reporting datasets consumed through our visualization portals
    • Build reporting tools to facilitate consumption consistency across teams
    • Ability to work under pressure and be able to continually reprioritize
    • Self-motivated, proactive and continuous improvement mind-set
    • Strong customer focus and service minded
    • Tolerance to ambiguity
    • Excellent presentation, communication, and critical thinking skills
    • Analytical and detail-oriented work style
    • Ability for end to end process thinking
    • Advanced Excel and financial modeling skills
    • Strong collaboration skills with the ability to create effective, deep and successful working relationships across all levels of the organization
    • 7+ years experience in financial reporting and analysis, ideally with some marketplace experience
    • Experience in building data pipelines to serve reporting needs
    • Experience owning all or part of a team roadmap
    • Experience with data visualization tools like Looker and Mode
    • Ability to prioritize requests from multiple stakeholders in disparate domains
    • Ability to effectively communicate complex projects to non-technical stakeholders
    • BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field
    • 3+ year experience in SQL or similar languages
    • 3+ years development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc), Python preferred
    • Competitive compensation
    • Stock options
    • OSDE 410 for the family group
    • Wellness perks
    • Learning & development stipend
    • Mac equipment
    • 3 weeks vacation
    • English lessons
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