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Data Analyst; SQL-Heavy​/Systems-Focused) Strategic Operations Department

Job in Fort Worth, Tarrant County, Texas, 76101, USA
Listing for: David A. Perez
Full Time position
Listed on 2026-11-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Intelligence
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst (SQL-Heavy / Systems-Focused) Strategic Operations Department →
# 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 d...Strategic Operations Department Remote Full -time Remote## About This RoleDAP 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 IsYou 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., Go High Level , Hub Spot) 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 from messy 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  and write MAVERICK before your name.

Suppose you want to build the backbone of how a company uses data. We want to talk.## What You'll Do
* Ensure data accuracy across systems (not just within one report)
* Build clean, standardized datasets from messy 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## What We're Looking For
* 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., Go High Level , Hub Spot) 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
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