This is Hybrid role (3 days in office / 2 day remote) What will be your responsibilities within IBKR: - Own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysis
- Design and automate data pipelines for real-time and batch processing of behavioral data
- Build scalable analytical infrastructure for reporting and visualization
- Develop standardized frameworks for attribution modeling and performance evaluation
- Partner with analytics, and product teams to translate business needs into data solutions
- Optimize Oracle databases and data models for high-performance querying
- Drive continuous improvement in attribution methodologies and data governance practices
What required skill's you need:- 5+ years in data pipeline development (Python and Java required)
- Advanced Python proficiency (Pandas, Polars)
- Strong Oracle/SQL optimization expertise
- Experience with Tableau
- 2-3 years of Linux systems experience
- Bachelor's or Master's in Computer Science or related field
This role's anticipated base salary range is 200,000 to 250,000 annually based on skill's and experience. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and stock award as well as a wide range of benefits, including health care, tuition reimbursement and much more
Company Benefits & Perks- Competitive salary, annual performance-based bonus and stock grant
- Retirement plan 401(k) with competitive company match
- Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium.
- Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)
- Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snacks
- Corporate events including team outings, dinners, volunteer activities and company sports teams
- Education reimbursement and learning opportunities
