Job description

Hiring Company Summary:

The hiring company is a leading provider of comprehensive brand services, excelling in strategic guidance, innovative marketing, and operational excellence to drive brands to success. Their offerings include brand development and packaging, sales, marketing, merchandising, engineering, formulation, and product innovation, ensuring that their clients achieve market leadership. With their brands recognized in over 43 states, the hiring company leverages advanced marketing strategies and cutting-edge technologies to effectively reach target customers across diverse platforms and channels

Position Summary:

The Data Analyst gathers, interprets, and uses complex data to develop actionable steps that will improve processes and optimize results. Day-to-day, the Analyst assesses company and client needs, receives robust information, and analyzes it, looking for trends or areas for improvement. The Analyst then delivers that information to the partners and clients and uses it to enhance the efficiency and effectiveness of a service, product, or system.

Key Responsibilities:

Data Collection and Management:

Gather, clean, and maintain data from multiple sources, ensuring its integrity and accuracy.
Develop and manage databases, dashboards, and data pipelines to streamline reporting processes.
Collaborate with cross-functional teams to ensure proper data governance and access controls.

Analytics and Reporting:

Perform descriptive and predictive data analyses to support business decisions.
Create and maintain dashboards, KPIs, and performance metrics for teams such as sales, finance, and operations.
Prepare periodic and ad-hoc reports to identify trends, insights, and opportunities for improvement.

Strategy and Insights:

Provide actionable insights to drive revenue growth, improve operational efficiency, and reduce costs.
Analyze market trends, customer behavior, and partner performance to inform business strategies.
Support management in forecasting and budgeting through advanced data modeling techniques

Tools and Automation:

Leverage tools such as SQL, Python, R, or Power BI to enhance data analysis and visualization.
Identify opportunities for automation in data processes to reduce manual effort and improve accuracy.
Stay current with industry best practices and emerging technologies in data analytics.

Skills & Qualifications:

Bachelors degree in Data Science, Statistics, Economics, Computer Science, or related field.
2-4 years of experience in data analysis, business intelligence, or a similar role.
Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and data manipulation software (e.g., Excel, Python, or R).
Experience in cannabis or other regulated industries is a plus.
Strong analytical thinking and problem-solving abilities.
Excellent communication skills for presenting findings to both technical and non-technical audiences.
High attention to detail and organizational skills.
Night shift experience preferred

Essential Functions: