Local Crafts is hiring: Data Analyst in Austin

Overview

We are seeking an innovative Data Analyst to join our team. You will play a crucial role in analyzing and interpreting complex data sets to help drive key marketing decisions. You will be responsible for gathering, cleansing, and transforming large datasets into actionable insights. This requires a strong understanding of statistical analysis and data modeling techniques. The ideal candidate will have a passion for data, strong problem solving skills, and a keen attention to detail.

Location

Location: Hybrid or Remote; Austin, TX; Dallas-Fort Worth, TX; Vancouver, WA; Columbus, OH. Employment type: Full-time

This position is not eligible for sponsorship or approved for third party recruiters.

Compensation

• Base pay range: $61,800.00/yr - $78,500.00/yr
• Starting annual pay ranges by location: Vancouver, WA: $67,725 - $73,100 Murray, UT: $61,800 - $73,300 Columbus, OH: $58,656 - $68,800 N Smithfield, RI: $61,100 - $77,400 Note: Candidates from different locations may receive varying salary offers.
• Pay rates are based on your skills, experience and location; bonus opportunities are based on both company and individual performance.

About the Company

Local Crafts Group (formerly Premier Needle Arts) is responsible for managing a portfolio of seven well known consumer brands: Berroco, Jimmy Beans Wool, Madelinetosh, Connecting Threads, Knit Picks, Superior Threads, and Crochet.com. Our products are available through various channels, including our dedicated consumer websites, Amazon, wholesale distributors, local retail partners, and consumer shows. Crafts Group is headquartered in Vancouver, WA and is part of the Blue Point Capital Partners family.

As an equal opportunity employer, Local Crafts Group is dedicated to fostering a supportive and inclusive work environment. We value each team member, empowering them to reach their full potential. We are committed to creating an inclusive atmosphere for all employees. Join us in inspiring a love for creativity among our customers.

Team

Our team consists of over 160 members located across the United States. With a shared commitment and passion for innovation, we value user friendly designs and outstanding quality. Every day, we are dedicated to designing, creating, manufacturing, and delivering craft products to our enthusiastic makers worldwide.

Job details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Analyst
• Industries: IT Services and IT Consulting

Responsibilities

• Collect, process, and analyze large volumes of data to identify trends, patterns, and anomalies
• Develop and maintain data models and organized databases to ensure data integrity and accessibility
• Identify trends and patterns in datasets to help drive decision making
• Collaborate with cross functional teams to gather data requirements and develop solutions and improve operational efficiencies
• Create visualizations, dashboards, and reports to effectively communicate findings to stakeholders
• Implement and monitor data quality control measures
• Stay up to date with industry trends and best practices in data analysis

Qualifications

• Bachelor\'s degree in statistics, mathematics, computer science, or a related field
• 2+ years of experience as a data analyst
• Proficiency in SQL and Python/R for data manipulation and analysis
• Advanced knowledge of Excel and other data analysis tools
• Knowledge of statistical analysis techniques and data modeling
• Experience with data visualization tools such as Tableau or Power BI
• Familiarity with data warehousing concepts and techniques
• Excellent attention to detail and problem solving skills
• Skilled in presenting findings in a clear and concise manner
• Strong time management skills and ability to multitask effectively
• Knowledge of machine learning algorithms and techniques is a plus

Benefits

We provide a competitive compensation and benefits package. Pay rates are based on your skills, experience and location; bonus opportunities are based on both company and individual performance.

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