Description:
At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form.
We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, learning and development funds, and more.
The opportunity
- Conduct analysis & deep-dives into aspects of Dataminr’s alerting and operational processes to identify quality improvement and innovation opportunities
- Communicate analytical findings effectively and support planning across different stakeholders and leadership teams
- Supporting Quality Assurance functions and projects through proactive and reactive analysis
- Identify, plan, and deliver research trials across the Human-AI Learning Operations (HALO), using data to measure, validate and communicate results
- Act as the Global Operations interface with internal AI and Go To Market Teams
- Support strategic and operational planning, and execution, bringing expertise and experience to scaling / rapid growth challenges
What You Bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.
- 1+ years in management consultancy, Trust & Safety, Risk Analysis, Sales/Revenue Ops or in an analytics role and bachelor's degree preferred
- Excellent critical thinking skills and ability to make decisions independently, be highly organized with demonstrated ability to work on multiple ongoing projects
- Ability to work in a dynamic and fast-paced environment and adapt quickly to new opportunities and strategic initiatives
- Exceptional verbal and written communication skills, with the ability to convey complex results to non-technical audiences
- Experience creating and leading senior-level presentations, including high level of proficiency with analytical and presentation tools (e.g., Microsoft Excel/PowerPoint, Google Sheets/Slides)
- Desire to learn and utilize machine learning and AI tools to enhance the scope and impact of a project