Senior Data Analyst

DealMaker; Medellín; Presencial; COP 100.440.000 - 145.080.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity opportunity

Distributed team

Medical, vision, and dental benefits

AI tools to support innovation

Annual learning stipend

Descripción de la vacante

DealMaker in Medellín, Colombia is seeking a Senior Data Analyst to serve as the analytical backbone for financial and business decisions, moving beyond reporting to strategic consultation.

You will translate complex data into actionable insights for executive leaders, with expertise in the modern data stack, SQL, Python, and data models, while driving revenue optimization and risk mitigation.

Formación

• SQL proficiency and statistical analysis for product problems.
• Python for data manipulation and modeling.
• Experience with data modeling and storytelling to influence decisions.
• ELT/ETL data engineering and production-ready models.
• Strong communication of insights to cross-functional teams.

Responsabilidades

• Drive Strategic Outcomes by applying advanced methods to product analytics.
• Lead End-to-End Analytical Projects from hypothesis to presentation.
• Strategic Communication & Storytelling to executives and product teams.

Conocimientos

SQL proficiency

Python

Data modeling & statistics

ELT data engineering

Data storytelling

Herramientas

dbt

Snowflake

Looker/LookML

GitHub

Descripción del empleo

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.

Who You Are

You are a strategic, action-oriented analyst who is not afraid to Push Your Limits and Be Bold and Direct. You Prioritize Speed over Perfection while maintaining a high bar for analytical rigor. You have a "roll up your sleeves" attitude to Find a Way to turn complex, messy financial data into clear, concise, and actionable insights. You are an expert at Innovating and Simplifying complex processes and you Obsess over Customers - both internal and external, by using data to Drive Outcomes that deliver tangible business value. You are ready to mentor others and lead analytical projects end-to-end.

What You Will Do

As a Senior Data Analyst, you will be the analytical backbone for key financial and business decisions, moving beyond reporting to strategic consultation and outcome ownership.

The most critical part of this role is Expertise in Data Analysis & Domain Knowledge. You will leverage your deep understanding of financial products, technology products, and core business metrics to optimize revenue and mitigate risk.

• Drive Strategic Outcomes: Apply advanced statistical methods (e.g. LTV/churn prediction, Feature Release monitoring) to address Product analysis needs. You will translate insights from domain areas like Payments and Investment into actionable strategies for executive leaders.
• Lead End-to-End Analytical Projects: Scope, own, and execute full-cycle analytical projec, from initial hypothesis and complex data manipulation to final executive-level presentation and monitoring of implementation.
• Strategic Communication & Storytelling: Move beyond simple dashboards. You will utilize exceptional written and verbal communication skills to present narrative-driven findings to executive stakeholders (CEO, VP of Product, and other Product Managers) and influence their strategic decisions.

What Skills You Need

The ideal candidate will combine deep domain expertise with a mastery of the modern data stack.

• Financial/Data Modeling & Statistical Analysis: The ability to apply advanced statistical methods (e.g., regression, time-series analysis) to solve complex Product problems.
• Data Transformation & Engineering Acumen (ELT Focus): Expert-level SQL proficiency and experience with dbt for building and maintaining production-ready data models.
• Modern Data Stack Mastery: Hands-on expertise with Snowflake (Advanced SQL, performance optimization) and Looker/LookML for creating dynamic, self-service BI solutions. Experience with GitHub for version control and collaboration is required.
• Scripting & Analysis: Advanced proficiency in a scripting language like Python for complex data manipulation, statistical analysis, and predictive modeling.
• Strategic Business Translation & Storytelling: The proven skill to frame analytical findings within the context of business goals and clearly communicate actionable, influential recommendations to both technical and non-technical cross-functional stakeholders.

Founded in 2018 by leading capital markets lawyers, DealMaker has blazed its own trail as the leading online capital-raising platform. As 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)
• We love AI and have tools to support you build innovative solutions
• Annual learning support And more!

We use automated and artificial intelligence-based tools ("Automated Employment Decision Tools") to assist in screening, assessing, or evaluating candidates. These tools may assess job-related qualifications such as skills, experience, and work history. AI-assisted tools support our recruitment team and do not replace human judgment; all final hiring decisions are made by human reviewers. Applicants may request information about the use of these tools or request an alternative selection process by contacting us at [e-mail]. For more information about how personal information is collected and used, please see our Privacy Notice.

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.