Senior Analytics Engineer
New York, NY
DealMaker Tech – Data /
Full Time /
Hybrid
DealMaker is a fast-growing fintech company revolutionizing the capital markets ecosystem with a mission to make online capital raising mainstream. We empower founders, CEOs, and operators to raise capital digitally, both from their own communities and through strategically marketed campaigns. No other platform provides an end-to-end solution like ours—and our track record speaks for itself, with over $2B raised across 1,000+ campaigns. We power the largest online capital raises for customers like EnergyX ($88M), Green Bay Packers ($65M), Miso Robotics ($72M+), Monogram Orthopaedics (Nasdaq:MGRM) and many others, with 3 IPOs in the past year alone. We are quickly expanding our horizons and are seeking talented team members to join us on our journey to transform the global capital market.
At DealMaker, we're revolutionizing the capital markets, and our data is at the heart of everything we do. We thrive on a culture that prioritizes Speed over Perfection, strives to Drive Outcomes, and encourages everyone to Push Your Limits. If you're someone who loves to Find a Way, is Bold and Direct, driven to Innovate and Simplify, and Obsesses over Customers, then you'll fit right in!
As a Senior Analytics Engineer, you will be a pivotal individual contributor on our lean yet mighty Data and AI team. You'll be instrumental in shaping our data landscape, ensuring its accuracy, accessibility, and readiness for advanced analytics and AI. Your contributions will directly impact our key MadTech initiative, from automating forecasting updates to maintaining impeccable data uptime and ensuring the precision of our critical business metrics.
Who you are
You are a data enthusiast with a passion for building robust, scalable, and high-quality data solutions. You possess a curious and proactive mindset, always seeking to understand the "why" behind the data and its impact on business outcomes. You thrive in a fast-paced, dynamic startup environment where your ability to Prioritize Speed over Perfection and Find a Way through complex challenges is highly valued. You are a natural problem-solver, committed to Driving Outcomes and constantly looking for opportunities to Innovate and Simplify. Your dedication to data accuracy and your ability to collaborate effectively make you an invaluable partner to both technical and business stakeholders, always with an eye on Obsessing over Customers.
What you will do
Your mission will be to transform raw data into a reliable, high-performance asset that empowers our business and fuels our AI initiatives. The most critical part of this role is to develop and deploy an AI-ready data model to support reports, dashboards, and AI initiatives. This means creating structured, high-quality, and well-governed data that is perfectly fit for purpose for machine learning and artificial intelligence workflows. You will also:
- Design, build, and optimize robust ETL/ELT pipelines to ensure seamless data flow and maintain a 99% data uptime for our critical pipelines.
- Develop and implement comprehensive data quality checks and validation processes to ensure +/- 5% accuracy for all Sales, Revenue, Shareholder Services, and OPSP metrics.
- Lead the full migration of Metabase dashboards to Looker, ensuring data consistency and enhanced user experience.
- Collaborate closely with business stakeholders to understand their analytical needs and translate them into scalable data solutions.
- Champion data governance best practices, ensuring data integrity, security, and proper usage across the organization.
- Continuously monitor and troubleshoot data pipeline and reporting issues, ensuring timely resolution.
- Contribute to the strategic roadmap of our data platform, identifying and implementing new tools and technologies that align with our growth and AI aspirations.
What skills you need
- Fluency in SQL and Python is a must.
- Hands-on experience with a modern data stack (e.g., cloud data warehouses like Snowflake, BigQuery, or Redshift; orchestration tools like Airflow or dbt; BI tools like Looker, Tableau, or Power BI).
- Experience with Marketing Mix Modeling (MMM) and/or multi-touch attribution modeling.
- Experience working with Customer Data Platforms (CDPs) like Segment.
- Strong understanding of data modeling principles (dimensional modeling, Kimball methodology).
- Experience with version control systems, preferably Git.
- Proven ability to design, build, and maintain data pipelines.
- Excellent problem-solving skills and a meticulous attention to detail.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience working in a fast-paced, agile environment, demonstrating adaptability and resilience.
- Familiarity with the concepts of preparing data for machine learning and artificial intelligence applications is a significant plus.
Founded in 2018 by leading capital markets lawyers, DealMaker has blazed its own trail as the leading online capital-raising platform. As a Series A tech startup, we are well-capitalized, firmly established in our market, and ready to scale. Here’s why you should want to join us:
-Competitive compensation with the opportunity to earn equity—get into a growth company on the ground floor
-A diverse & distributed team of doers, innovators, and experts
-Shared employee benefit plan (medical, vision, & dental)
-Strong autonomy with support from leadership
-Annual learning support And more!
Equal Employment Opportunity
DealMaker does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws.
Please inform us if you require any accommodation, and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.
