We are seeking a senior-level, client-facing Data Modeler with Analytics experience to join our team. The ideal candidate will have a strong background in data modeling and business intelligence / reporting / analytics tools, with strong hands-on experience with Amazon Redshift, Amazon QuickSight, and / or Power BI. The successful candidate will work directly with major financial institutions and play a critical role in designing, developing, and maintaining data-driven decision-making infrastructure across clients.
Key Responsibilities
- Data Modeling: Design, implement, and maintain data models in Amazon Redshift to support various technical and business needs.
- Reporting & Analytics: Create reports, visualizations, dashboards and supporting data assets using Amazon QuickSight and Power BI.
- Collaboration: Work closely with data engineers, analysts, and business stakeholders to understand data and visualization requirements and deliver appropriate designs and solutions.
- Documentation: Maintain comprehensive documentation of data models and visualizations.
- Best Practices: Stay updated with industry best practices and emerging trends in data modeling and analytics technologies and apply them to the business and technical domain.
- Consulting Mindset: Work independently, become a trusted consultant to the client and identify potential opportunities for engagement expansion.
- BSc in Computer Science, Information Systems, Data Science, or related field.
- Minimum of 10 years of experience in data modeling.
- At least 5 years of experience with Amazon Redshift, Amazon QuickSight, and/or Power BI.
- Experience working in the financial industry is a huge plus.
- Experience working in a consulting environment is highly desired.
- Proficiency in SQL and database design.
- Strong analytical and problem-solving skills.
- Familiarity with data warehousing concepts and best practices.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Experience with other reporting tools and data platforms.
- Knowledge of Python or other programming languages.
- Experience in cloud data infrastructure and services.
If you are ready to take on challenging projects and contribute to innovative solutions in a dynamic environment, we would love to hear from you!
The base salary range for this role is $170,000 - $200,000. However, the base salary range may vary depending on the individual's job-related knowledge, skills and experience.
Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.
Salary range disclosure as required by S9427A when hiring in New York.
Our Hybrid Work Model
At Lab49, we embrace a hybrid work model, offering you the flexibility to work from the office or remotely. We expect our Lab49ers to average 2-3 days per week in person and this could be at our midtown office in NYC or at a client site. We believe that both the flexibility and in-person connection to each other and our clients build a collaborative culture and the opportunity to accelerate growth and innovation.
Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.
Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.
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