Data Analyst (SQL-Heavy / Systems-Focused)

DAP Brands is looking for a high-ownership, systems-minded Data Analyst who doesn’t just report numbers; they build and maintain the foundation that powers decision-making.

This role is critical as we move toward a centralized PostgreSQL database and cleaner, more reliable data across all teams.

If you’re someone who sees messy, inconsistent data and thinks “this needs structure, validation, and automation”. Keep reading.

What This Role Really Is

You are not just analyzing data.

You are responsible for:
- Structuring it
- Cleaning and validating it
- Standardizing it across systems
- Making it usable and trustworthy

You ensure that when leadership reviews data, it’s accurate, consistent, and ready for decisions.

Key Responsibilities
- Build, manage, and optimize SQL/PostgreSQL databases for centralized data access
- Write efficient, scalable queries for reporting and operational use
- Design and maintain ETL processes to ensure clean and consistent data flow
- Perform data cleaning, validation, and normalization across multiple data sources
- Ensure data integrity, especially across CRM and operational systems
- Identify inconsistencies, duplicates, and structural issues in datasets
- Create and maintain client-level dashboards and reporting systems
- Develop reports that directly support business and operational decisions
- Collaborate with teams to define metrics and improve data tracking
- Proactively improve how data is collected, stored, and used

Non-Negotiables (Must-Have)
- Strong experience with SQL (PostgreSQL preferred)
- Strong proficiency in data cleaning, validation, and normalization
- Advanced skills in Excel / Google Sheets (pivot tables, queries, data modeling)
- Experience with CRM systems (e.g., GoHighLevel, HubSpot) and maintaining data integrity
- Proficiency in programming/scripting (JavaScript, XML, or similar)
- Exceptional analytical and problem-solving skills
close attention to detail
- Proactive mindset and strong ownership

Strong Plus (Will Set You Apart)
- Experience building or managing centralized databases or data warehouses
- Hands-on experience with ETL tools or automation workflows
- Experience with dashboarding tools (Power BI, Tableau, Looker, etc.)
- Experience handling client-level or multi-entity datasets
- Background in operations, marketing, or financial data analysis
- Experience in fast-paced, high-growth environments

What We Actually Need (Read This Carefully)

Most candidates can analyze data.

We are looking for someone who can:
- Ensure data accuracy across systems (not just within one report)
- Build clean, standardized datasets fro ---------- ssy inputs
- Maintain data integrity inside CRMs and operational tools
- Reduce manual work through automation and better structure
- Take ownership of data issues and fix them without being told

Final Note

We move fast.
We expect ownership.
We value people who fix problems before they’re told.

If you’re looking to “analyze data,” this role is not for you. Apply on our website ---------- /careers and write MAVERICK before your name.

Suppose you want to build the backbone of how a company uses data. We want to talk.