Data Analyst

Beautiful LLC; Northern (KY); Hybrid; USD 65,000 - 85,000; Full time

Benefits offered by this job

Home office

Flexible schedule

Job summary

Beautiful LLC is seeking a Data Analyst to collect, integrate, and analyze data from multiple systems to support strategic decisions. You will build dashboards, forecasts, and insights that guide leadership on growth opportunities and operational improvements.

The role emphasizes transforming data into reliable reports and communicating results to non-technical audiences. A home office setup and flexible scheduling are supported.

Qualifications

• Five+ years of professional experience in data analytics or BI.
• Preferred Bachelor's degree in a related field.
• Experience with relational databases and data warehouses.

Responsibilities

• Collect, integrate, and reconcile data from multiple systems.
• Develop automated dashboards, reports, and executive summaries.
• Build predictive models and forecasts for growth opportunities.
• Present analyses to non-technical audiences with clear visuals.

Skills

Data analytics

Analytics engineering

Business intelligence

Forecasting

Education

Bachelor's degree (CS/Stats/Math/Economics/IS/BA)

Tools

Power BI

Tableau

Looker

Job description

Position Summary

The Data Analyst collects, integrates, manages, and analyzes complex data to support strategic decisions. This position transforms data from multiple business systems into reliable reporting, actionable insights, and forecasts that help leadership understand business performance and identify opportunities for growth and improvement.

Job Objectives

1. Build predictive models to drive strategic growth.
2. Design and manage performance monitoring systems.
3. Deliver data-driven insights to address business challenges/opportunities.

Essential Job Duties

• Partner with executives and department leaders to identify business questions, analytical needs, performance indicators, and opportunities for improvement.
• Develop sales, revenue, demand, customer-acquisition, and marketing-performance forecasts.
• Collect, integrate, and reconcile data from sales, marketing, website, customer, product, financial, and operational systems.
• Develop and maintain automated dashboards, reports, scorecards, and executive-level performance summaries.
• Use appropriate technologies to extract, clean, transform, validate, and analyze large and complex datasets.
• Analyze marketing performance, including customer acquisition costs, conversion rates, channel profitability, return on advertising spend, and campaign effectiveness.
• Analyze sales and customer behavior, including purchasing patterns, retention, repeat purchases, product affinity, customer segmentation, and lifetime value.
• Build tools that help leadership evaluate potential changes in pricing, advertising investment, customer acquisition, conversion, and retention.
• Investigate discrepancies between reporting systems and recommend solutions to improve data accuracy and consistency.
• Work with technical teams and third-party vendors to implement new data sources, integrations, and reporting capabilities.
• Present complex analyses through clear reports, visualizations, presentations, and recommendations for nontechnical audiences.
• Train stakeholders to interpret dashboards, reports, KPIs, and analytical findings accurately.
• Prioritize analytical projects according to potential business impact, urgency, data availability, and required resources.
• Establish and follow standards for data governance, access, security, privacy, retention, and responsible data use.
• Assist in standardizing definitions and reliable sources of truth for revenue, orders, customers, products, marketing performance, and other key business metrics.

Skills and Qualifications

• Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline.
• Preferred Bachelor's degree in computer science, statistics, mathematics, economics, information systems, business analytics, or a related field.
• Experience designing and maintaining relational databases, data models, or cloud-based data warehouses.
• Experience building or maintaining automated ETL/ELT pipelines that move and transform data between business systems.
• Advanced data-cleaning, reconciliation, scrubbing, and manipulation skills.
• Experience with at least one business-intelligence or data-visualization platform, such as Power BI, Tableau, Looker, or a comparable tool.
• Experience developing dashboards, reports, forecasts, or analytical models that influenced business decisions.
• Ability to translate ambiguous business questions into well-defined analytical projects and measurable outcomes.
• Ability to recognize data-quality issues and determine whether available data can support a valid conclusion.
• Preferred experience working with e-commerce, direct-to-consumer, education, publishing, subscription, or digital-product businesses.

Core Competencies

• Forecasting and advanced data analysis
• Marketing and sales analytics
• Business intelligence and data visualization
• Data quality, governance, and documentation
• Strategic and critical thinking
• Independent problem-solving and accountability

Supervisory Responsibility

This position has no direct reports but collaborates with team leads in the Marketing, Customer Experience, and Operations departments.

Work Environment & Physical Demands

This position works in a home office setting. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee frequently is required to stand, sit and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

Position Type and Expected Hours of Work

This is a full-time position. Days and hours of work are between Monday through

Friday. Expected hours: 37-40 per week, flexible schedule between stated hours.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

We are excited to be part of a growing company. This growth provides opportunities to all of our employees and in turn our mission, and expansion provides opportunities to our client base. It is important to note that this position can only be offered to individuals residing in the following states: AZ, FL, GA, ID, KY, MI, MN, MS, OH, OK, PA, SC, TN, TX, UT, VA.

Please note: We participate in E-Verify; this program verifies workers are authorized to work in the United States.