Data analyst

Location: [Insert Location] (Remote Options Available)
Company: Razor One LLC
Job Type: Full-Time
Company Overview:
Razor One LLC is a rapidly growing company committed to delivering data-driven solutions and innovative strategies in [industry name]. We leverage cutting-edge technology and analytics to drive business decisions, optimize operations, and enhance customer experiences. As we continue to expand, we are seeking a highly analytical and detail-oriented Data Analyst to join our team and play a pivotal role in transforming raw data into actionable insights.

Position Overview:
The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to support strategic decision-making and operational efficiency. This individual will work closely with cross-functional teams to identify trends, generate reports, and provide data-driven recommendations that drive business growth. The ideal candidate possesses strong analytical skills, technical proficiency, and a passion for problem-solving in a fast-paced environment.

Key Responsibilities:
Data Collection & Analysis:

Gather, clean, and analyze large datasets from various sources to extract meaningful insights.
Identify trends, patterns, and anomalies to support data-driven business strategies.
Conduct deep-dive analyses to uncover opportunities for process optimization and revenue growth.
Reporting & Visualization:

Develop interactive dashboards, reports, and data visualizations to communicate insights effectively.
Present key findings to stakeholders, ensuring data is accessible and actionable for decision-makers.
Generate regular and ad-hoc reports on business performance, customer behavior, and market trends.
Business Intelligence & Strategy:

Collaborate with leadership and various departments to define KPIs and track performance metrics.
Provide strategic recommendations based on data analysis to improve efficiency, customer engagement, and profitability.
Work closely with sales, marketing, and operations teams to enhance data-driven decision-making.
Data Integrity & Process Improvement:

Ensure data accuracy, consistency, and security by implementing best practices in data management.
Optimize data collection and storage processes to improve overall efficiency.
Identify and implement automation solutions for data analysis and reporting.
Qualifications & Requirements:
Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
2+ years of experience in data analysis, business intelligence, or a related role.
Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker).
Experience with statistical analysis and data modeling techniques.
Proficiency in Python or R for data manipulation and analysis is a plus.
Strong problem-solving skills with the ability to interpret complex data sets and provide actionable insights.
Excellent communication and presentation skills to convey data findings to both technical and non-technical audiences.
Ability to work independently and collaboratively in a fast-paced, data-driven environment.
Preferred Qualifications:
Experience with cloud-based data platforms (e.g., AWS, Google BigQuery, Snowflake).
Familiarity with machine learning concepts and predictive analytics.
Knowledge of A/B testing, market research, and business intelligence strategies.
Compensation & Benefits:
Competitive salary based on experience and qualifications.
Comprehensive health benefits, including medical, dental, and vision coverage.
401(k) retirement plan with company matching contributions.
Remote work flexibility with adaptable scheduling options.
Paid time off (PTO), sick leave, and company-recognized holidays.
Professional development opportunities, including certifications, training programs, and career advancement.
Employment Type: Full-Time
Salary: $ 28.00 Per Hour