LP
Fraud Data Analyst
LinkedIn Recruiter Post
Hiring a Fraud Data Analyst for a 12 - month contract in Toronto, ON. Requires 5+ years in data/analytics with fraud, AML, and threat detection experience.
About the role
- Data Analyst delivering high-impact data products using AI for a SaaS company focused on energy optimization. Collaborating with cross-functional teams to enhance data-driven decisions.
Responsibilities
- Work independently and collaboratively to deliver high-impact data products that directly contribute to the success of our artificial lift optimization platform
- Collaborate with data scientists and software engineers to wrangle, contextualize, and visualize data using various BI tools/Python and cloud-based technologies
- Troubleshoot and resolve data pipeline/integration issues by tracing root causes and collaborating with engineering and stakeholders.
- Take ownership and communicate clearly with cross functional teams, and ramp up quickly on new tools and domain context.
- Validate data quality, investigate anomalies, and help improve the accuracy and reliability of core datasets and metrics.
- Participate in a strong team environment, exploring new ideas through experimentation, prototyping, and rapid feedback cycles
- Embrace Agile methodologies such as SCRUM and Kanban to drive efficiency and ensure timely delivery of projects
Requirements
- Master’s or Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field
- Strong Python skills for data analysis and wrangling, writing and maintaining scripts, and debugging/fixing issues in data workflows and tools
- Strong knowledge of relational data concepts and SQL
- Expertise in data analysis: exploratory analysis, summarizing insights, validating data quality, clear reporting
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data analysis tools (beneficial)
- Experience with modern data platform tooling (beneficial): microservices-based systems, monitoring/observability tools, data quality/monitoring practices, and event driven or containerized environments
- Strong problem-solving skills, with an ability to translate complex data into actionable insights
- Troubleshooting mindset: ability to investigate issues across data pipelines, services, and integrations; trace root causes
- Excellent communication: can explain technical findings clearly to both technical and non-technical stakeholders
- Ownership and accountability: able to work independently, manage tasks end-to-end, and follow through
- Fast learner: able to ramp up quickly on new tools, systems, and domain context.
Benefits
- The opportunity to make a difference in a cutting-edge technology company that is highly spirited and focused on being a leading contributor in the energy transition space.
- We offer an environment steeped in creating a rewarding professional experience and having some fun along the way.
- We work in a hybrid working environment with a diverse and talented team.
- Passion for taking on big challenges to create a wealth of opportunities and we will support your development and career goals.
- Competitive compensation and benefits package.
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