Data Analyst — Austin, TX

Company Description gV4mH3CYhhX n2QzPUmT8CD fTV is a trusted partner in IT Services, and IT consulting, helping organizations build high-performing teams and implement technology solutions that drive measurable business outcomes. The company specializes in connecting businesses with top-tier IT talent through contract, contract-to-hire, and permanent hiring models. With deep industry expertise, JRKD49ZxHrh quickly understands client requirements and delivers professionals who align with both technical needs and organizational culture. In addition to staffing, the company provides innovative IT services and consulting that support digital transformation, improve operational efficiency, and accelerate growth. From strategic IT advisory to solution implementation, JRKD49ZxHrh focuses on scalable, secure, and future-ready technology solutions.

Role Description The Data Analyst role is a full-time, on-site position based in the United States. The Data Analyst will be responsible for collecting, cleaning, and validating data from multiple sources to support business reporting and decision-making. This role includes building dashboards and reports, performing trend and variance analysis, and preparing clear visualizations and summaries for stakeholders. The Data Analyst will collaborate with cross-functional teams to understand data needs, interpret findings, and recommend data-driven improvements to processes and performance. Additional responsibilities may include documenting data definitions, maintaining data quality standards, and supporting the implementation of analytics tools and best practices.

Qualifications

• Candidates should possess strong analytical and quantitative skills, including experience with data collection, data cleaning, and exploratory data analysis.

• Candidates should possess proficiency with data tools and technologies, such as Excel, SQL, and at least one data visualization platform (e.g., Power BI, Tableau, or similar).

• Candidates should possess skills in reporting and business intelligence, including building dashboards, generating recurring reports, and translating data into actionable insights.

• Candidates should possess capabilities in problem-solving and critical thinking, with the ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders.

• Candidates should possess strong written and verbal communication skills, attention to detail, and the ability to work collaboratively in cross-functional teams.

• Relevant qualifications such as a bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, or a related field are beneficial.

• Experience in consulting, IT services, staffing, or related industries, and familiarity with data governance and data security practices, is a plus.