Analytics Engineer I

Job Description

WHO WE ARE: We work where we play! Turning pursuit into passion, AOB delivers brands that move you because our success is measured by moments that matter.

Position Overview:

Reporting to the Director of Analytics. This position will be responsible for collecting, processing, and analyzing data to help the organization make informed decisions. This position will partner with other parts of the business utilizing reporting and analytics to help drive strategic initiatives.

Essential Duties and Responsibilities:

Utilizing software and tools like Microsoft Fabric, SQL, Python, R, and data visualization platforms such as Power BI to perform their tasks efficiently.

Gathering data from various sources, ensuring its quality and relevance, and cleaning it to remove any inaccuracies or inconsistencies.

Create reports using charts, graphs and other visual representations of data to communicate findings clearly and effectively to stakeholders.

Assist with building Power Apps and Power Automate flows to improve business processes.

Support Extract, Transform, Load (ETL) processes to ensure that data is accurately collected, transformed, and loaded into target systems.

Empower the business to make decisions through analytics and reporting.

Working with other departments to understand their data needs and provide analytical support.

Assist in training sessions and workshops to help users understand and utilize Fabric components effectively.

Other duties as assigned.

NOTE: This list presents only the principal duties of the position and is not intended to be comprehensive. The duties and responsibilities listed above may be changed or supplemented at any time in accordance with business needs and conditions.

Education and Experience:

Education: Bachelor’s degree in Data Science, Supply Chain, Business Management, Finance or related degree

Experience: 1-5 years’ progressive experience and scope in data science or other analytical role

Competencies and Skills:

Basic knowledge in SQL, Python, or R for data manipulation and analysis.

Ability to use software such as Tableau, Power BI, or Matplotlib to create clear and insightful visualizations.

Understanding of statistical methods and concepts to interpret data accurately.

Ability to approach complex business questions and find data-driven solutions.

Ability to convey insights and findings to non-technical stakeholders through storytelling and visualizations.

Working effectively with cross-functional teams and understanding their data needs.

Ability to learn new tools and techniques as the field of data analytics evolves.

Efficiently managing time to handle multiple projects and meet deadlines.

Physical Demands:

Works in an office environment.

Able to sit and work at a computer keyboard for extended periods of time.

Able to lift and move up to 25 pounds occasionally.

Occasional travel approximately 10% of time, U.S. and International

NOTE: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment and Personal Protective Equipment:

Within any of our facilities, employees may be exposed to manufacturing noise, airborne liquid chemicals, fine particulate dust, ambient temperatures, and industrial lighting. Work environment is similar to most manufacturing and distribution operations. May be exposed to excessive noise, temperatures, hazards associated with working around moving machinery, work in confined quarters, exposure to vibrations and shop lighting, continuous exposure to hot temperatures, may be humid, odors, dust, continuous exposure to mechanical hazards, and occasional exposure to chemical hazards.

The following Personal Protective Equipment is required:

Safety glasses with side shields and hearing protection required when on manufacturing floor

The use of additional personal protective equipment (PPE) may be required when a job task(s) is being completed in or around your assigned department or in another department, this includes safety eyewear, hearing protection, and safety footwear.

American Outdoor Brands (and its affiliates) is an equal opportunity employer and considers for employment and hires qualified candidates without regard to race, religion, color, sex, sexual orientation, pregnancy, gender identity, age, national origin, ancestry, veteran status, military service, application for military service, physical or mental disability, genetic information or any other status protected by applicable state or local law. Candidates must possess proper authorization to work in the United States and, where applicable, to possess technical data as defined in the International Traffic In Arms Regulations (ITAR) 22 CFR 120. 10.

Full-time