Lab49 was founded to bring cutting-edge solutions from Silicon Valley to Wall Street. Clients from various sectors within the financial industry rely on us to provide top-tier solutions to their most intricate challenges. When you join us, we'll encourage you to redefine industry standards with every project and support you in achieving excellence.
About the Role As a Principal Business Data Analyst at Lab49, you will be a key lead for data-intensive projects for top-tier financial services clients. This role requires a strong combination of consulting maturity, business analysis, and technical expertise. You will take full ownership of the client relationship and "data highway," acting as the bridge between business users, data, and development teams to ensure accurate data flows and navigate complex, ambiguous project environments.
What You'll Be Doing - Drive the investigation of data and system-related issues across internal financial applications. Identify root causes, perform data analysis, and own the end-to-end coordination with stakeholders to implement fixes.
- Lead the data onboarding process by performing data profiling, mapping, and shaping data into logical/MVP modelsfor downstream applications and analytics (Redshift).
- Act as a strategic advisor to business stakeholders, generating recurring and ad hoc reports that provide actionable insights and connect the dots between technical data flows and business value.
- Manage multiple complex data projects simultaneously, navigating uncertainty and shifting client requirements with a "self-starter" mentality.
- Translate ambiguous business requirements into clear technical specifications. Collaborate directly with client leadership to refine user stories and data logic.
What You'll Bring - 10+ years of experience as a Business Analyst, Technical Analyst, or Data Consultant in financial services (Capital Markets, Banking, or Fintech).
- A "Consulting DNA": Proven ability to "read the room," manage senior stakeholders, and operate independently.
- Deep experience in Data Governance and Data Quality; you don't just move data, you ensure its integrity and strategic value.
- Strong SQL skills. Ability to write queries, handle complex joins/unions, and perform rigorous data validations across legacy and modern (NoSQL/Cloud) environments.
- Experience in boutique consulting or professional services firms.
- Solid understanding of data architecture, MVP modeling, and application integration principles.
- Exceptional communication skills, with the ability to own the narrative when presenting findings to technical and non-technical stakeholders.
The base salary range is - $170,000-$200,000
Placement within the range provided above is based on the individual's relevant experience and skills for the role and level.
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 total rewards program is designed to support employee well-being and professional growth. We offer a competitive benefits package including a discretionary bonus, paid holidays, a 401(k), and comprehensive medical, dental, and vision coverage. Additional benefits include life insurance, short and long-term disability, Commuter FSA, Family Building Benefits, and more. All benefits are subject to eligibility requirements.
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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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