Data Analyst
Role summary
Kepler 22 is seeking a full-time, on-site Data Analyst in Houston, TX. This role involves collecting, analyzing, and interpreting data to drive business strategy and decision-making. Responsibilities include developing data models, creating visualizations, generating reports, and conducting statistical analyses. The Data Analyst will collaborate with cross-functional teams to understand business needs and deliver actionable insights. Qualifications include strong analytical and statistical skills, proficiency in data modeling, data visualization tools (Tableau, Power BI), and programming languages (Python, R, SQL). A Bachelor's degree in a related field is required, and experience in technology industries is a plus.
Company Description
Kepler 22 specializes in IT staffing and recruiting solutions to address complex technology talent needs. The company provides flexible workforce solutions, including contract staffing, direct placement, and staff augmentation, while supporting critical technology functions like Applications Development, Infrastructure Services, and Business Process Outsourcing. Globally recognized for their structured recruiting methodology, Kepler 22 helps organizations build scalable, high-performing teams aligned with business goals. For IT professionals, Kepler 22 offers career growth opportunities, personalized support, and diverse roles in both consulting and permanent positions. Their commitment to transparency, accountability, and results ensures exceptional experiences for clients and candidates alike.
Role Description
This is a full-time on-site role for a Data Analyst, located in Houston, TX. The Data Analyst will be responsible for collecting, analyzing, and interpreting data to support decision-making processes and business strategy. Key tasks include developing data models, creating visualizations, producing reports, and performing statistical analyses. The role also requires collaborating with cross-functional teams to understand business needs and provide actionable insights.
Qualifications
- Strong Analytical Skills and Data Analytics expertise to interpret and derive insights from complex datasets
- Proficiency in Statistics, including familiarity with statistical methods and tools
- Experience with Data Modeling and creating structured data frameworks
- Excellent Communication skills for presenting findings to both technical and non-technical stakeholders
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R, SQL)
- Detail-oriented with a problem-solving mindset and the ability to manage multiple projects
- Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field
- Experience in technology-driven industries or IT environments is a plus
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