
Data Analyst
Published on CazVidat Company
Join Company as a Data Analyst in Texas City. Competitive salary, benefits, and career growth. Apply today to advance your analytics career!
Salary
$70,000 - $90,000 per year
Location
Texas City, Texas, United States
Employment type
Full time
Workplace
Not provided
Data Analyst
$70,000 - $90,000 per year
Job description
Join our innovative team at Company, a leader in analytics based in Texas City, Texas. We're looking for a dedicated Data Analyst to play a pivotal role in transforming complex data into actionable insights that drive strategic decisions and operational improvements. This full-time, on-site position offers a competitive salary of $80,000 per year along with excellent benefits including health insurance, paid time off, and a retirement plan. At Company, you’ll find a collaborative environment that fosters career development and advancement opportunities, perfect for professionals eager to grow their expertise in data science and business intelligence. Key Responsibilities Analyze and interpret complex datasets to identify meaningful trends and patterns that support data-driven decision-making across departments. Develop and maintain automated reporting systems that enhance business intelligence efficiency and accuracy. Create and optimize compelling data visualizations to clearly communicate findings to stakeholders and leadership teams. Collaborate with cross-functional teams to define, monitor, and report on KPIs that measure operational success and business performance. Utilize SQL and Python to manage data pipelines, ensuring data integrity, availability, and timely access for analysis. Conduct forecasting and predictive analytics to support strategic planning and identify growth opportunities. Continuously explore enhancements in data collection and processing methods aimed at increasing operational efficiency and accuracy. What We're Looking For Required: Bachelor's Degree in Data Science, Computer Science, or a related field. Proficiency in SQL and Python programming languages. Experience with data visualization tools such as Tableau, Power BI, or similar business intelligence software. Strong understanding of KPI definition, reporting automation, and data pipeline management. Exceptional analytical skills with 2-3 years of experience in a data analyst or similar role. Ability to collaborate effectively with both technical and non-technical teams to drive actionable insights. Preferred: Familiarity with operational efficiency initiatives and advanced forecasting methodologies. Experience in a fast-paced, dynamic work environment focused on continuous improvement. Strong communication skills to present complex data clearly and effectively. What We Offer Competitive salary of $80,000 per year with performance-based incentives. Comprehensive health insurance including medical, dental, and vision coverage. Paid time off to support work-life balance and personal wellness. Retirement plan with company matching to help you plan for your future. Professional development opportunities including training, certifications, and conferences. Collaborative and inclusive culture that values innovation and continuous learning. On-site work environment fostering teamwork and direct engagement with cross-functional teams. Frequently Asked Questions What are the typical working hours for this position? This is a full-time, on-site role with standard business hours, Monday through Friday. Is prior experience with specific data visualization tools required? Yes, experience with tools like Tableau, Power BI, or similar platforms is required to effectively communicate insights. Does this role offer opportunities for career advancement? Absolutely. We are committed to your professional growth with clear pathways for advancement and skill development. Is remote work an option for this job? No, this position requires on-site presence in Texas City, Texas to facilitate collaboration. What kind of projects will I work on? You will work on projects involving data analysis, reporting automation, predictive analytics, and operational efficiency improvements. How soon can I apply? We encourage you to apply as soon as possible to join our dynamic team and start contributing to impactful data-driven decisions. Explore related career opportunities such as