Data Analyst: SQL, Python & BI Dashboards - Houston

GetJobSmart; Houston (TX); On-site; USD 95,000 - 137,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Tuition reimbursement

Job summary

Granite East Inc. is seeking a Data Analyst in Houston, TX. You will analyze data to support decision-making, create reports and dashboards, and identify trends.

You'll work with SQL and data visualization tools to deliver actionable insights. Join our team in Houston, TX, where a collaborative environment and opportunities for growth are emphasized. Applicants should have a bachelor's degree in a related field and 2+ years of data analysis experience, with proficiency in SQL, Python, and

Qualifications

• Bachelor's degree in data analysis, statistics, or a related field.
• 2+ years of experience in data analysis, preferably in a software development environment.
• Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI.

Responsibilities

• Analyze large datasets to extract meaningful insights and trends.
• Develop and maintain data models to support business decisions.
• Create data visualizations to communicate findings effectively.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Stay up-to-date with the latest data analysis tools and techniques.
• Mentor junior team members and contribute to a positive, inclusive work culture.

Skills

Data analysis

SQL

Python

Data visualization

Education

Bachelor's degree in data analysis or related field

Tools

Tableau

Power BI

Job description

Granite East Inc. is seeking a Data Analyst in Houston, TX. You will analyze data to support decision-making, create reports and dashboards, and identify trends.

You'll work with SQL and data visualization tools to deliver actionable insights. Join our team in Houston, TX, where a collaborative environment and opportunities for growth are emphasized. Applicants should have a bachelor's degree in a related field and 2+ years of data analysis experience, with proficiency in SQL, Python, and