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Description

About Hawx

Hawx Pest Control is a technology-driven company that is revolutionizing the pest management industry. Hawx serves a crucial public health function by using state-of-the-art equipment and environmentally conscious products to protect the people and places our customers love. At Hawx we pride ourselves on our internal company culture. Our team members benefit from being part of a company that actively rewards employees for being team players while providing ample opportunity for personal and professional growth. We understand how important it is to recruit and reward people who are enthusiastic about developing their careers and opening new opportunities while delivering a best-in-class customer experience.

Job Summary

The Business Intelligence Analyst will work collaboratively with departments throughout Hawx to provide critical insights that drive strategic decision-making. This role offers an exciting opportunity to work with diverse datasets and build impactful reporting - empowering leadership to evaluate solutions to our business challenges and capitalize on opportunities. While the core focus will be data analysis, this position will also offer exposure and opportunities to develop skills in data engineering, data architecture, and/or data science, making it an ideal position for someone looking to grow their career in a multi-faceted data domain.

DETAILS

• Full-time position
• $70,000 - $90,000
• Hybrid work location (Ogden, UT) / work from home

Requirements

Responsibilities

• Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Looker, Google Sheets) to visualize and monitor key performance indicators. 
• Digest, synthesize, manipulate and validate large sets of data from multiple sources into a clear, concise summary or required data elements.
• Collaborate with stakeholders across sales, marketing, operations, finance, and customer solutions to understand their data needs and translate them into actionable reporting. Perform ad-hoc data analysis to identify trends, patterns, and opportunities for improvement.
• Assist in the development and optimization of data pipelines and data warehousing solutions. Support data quality initiatives and ensure the accuracy and integrity of data and models.
• Contribute to the exploration and implementation of statistical models, artificial intelligence, and machine learning techniques to address business challenges.
• Must be able to decisively execute while managing multiple priorities and deadlines. Ability to pivot quickly with changing requests and requirements.
• Capture, develop, and document data definitions, business rules, data requirements and quality assurance metrics.

Qualifications

TRAITS 

• Reliable: Establishes and upholds our company culture and values. Believes in the company mission and the Hawx culture of excellence. Able to organize, track, prioritize, and complete tasks while staying on top of multiple workflows in process and to achieve outcomes on time and on target.
• Sharp Analytical Thinker: Can systematically break down complex issues, identify root causes, and develop effective solutions. Has a knack for seeing patterns and connections that others might miss. Transforms information into a clear, actionable plan. Pays close attention to the details, catching small errors or inconsistencies before they become major problems. 
• Process-Oriented: Understands operational processes and workflow optimization strategies to enhance productivity and efficiency. Has a keen sense for what’s not working and how it can be improved.
• Cross-Functional Collaboration: Skilled in both verbal and written communication, articulating complex ideas clearly and concisely for diverse audiences. An active listener, fully absorbing and comprehending information from others. Builds trust, fosters understanding, and drives collective success through their interactions with all stakeholders across different departments.
• Growth Mindset: Highly adaptable and thrives in fast-paced, high-growth environments. Innately curious and always seeking opportunities to learn and improve. Ability to remain calm and focused amidst ambiguity, coupled with a strong sense of accountability.

REQUIREMENTS

• Must pass required background check
• Bachelor’s degree in Data Analytics, Economics, Statistics, Business, Information Systems or related field / equivalent experience
• 3+ years of experience in a Business Intelligence, Data Analysis or similar role
• 3+ years demonstrated ability of building and maintaining reporting and visualizations in a BI tool (e.g., Tableau, Power BI, Looker). LookML production experience a plus
• Highly skilled in spreadsheet-based analysis using Microsoft Excel or Google Sheets
• Proficiency in SQL and database query tools for data extraction and manipulation
• Basic understanding of data engineering principles and ETL/ELT processes

PREFERRED EXPERIENCE

• Familiarity with statistical concepts, data science techniques, AI/ML models
• Experience with Python or R for data analysis and API scripting
• Exposure to cloud platforms and data warehousing
• Experience with a service-based company and related software systems data (e.g., phone systems, CRM, lead management, HR/payroll, fleet, etc.) and industry metrics (e.g., customer churn, LTV, employee utilization, routing efficiency)

If you're ready to leverage your analytical skills and contribute to the success of a thriving organization, we encourage you to apply!

Benefits

• Medical, dental, vision, life insurance  
• 401K with company match
• PTO and Paid Holidays
• On Demand Pay
• Employee Assistance Program (EAP)
• Short and Long Term Disability 

Hawx Services, LLC is an Equal Opportunity Employer committed to fostering an inclusive work environment with the most qualified employees. Both in our hiring process and in the experiences that our team members have as employees, Hawx is committed to diversity, equity, and inclusion. Accordingly, Hawx is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex (including pregnancy, childbirth, or related medical conditions), national origin, sexual orientation, age, marital status, disability, gender identity, or veteran status.