Data Analyst (Austin)NetBounce Global LLC • Austin, TX, US
Data Analyst (Austin)
NetBounce Global LLC • Austin, TX, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [job_card.part_time]
[job_card.job_description]Masters degree in Data Science, Statistics, Computer Science, Analytics, Engineering, Business Analytics, or a related field . 05 years of experience in a data analyst, business analyst, or relevant quantitative role. Valid U.S. work authorization. Proficiency in SQL and experience with relational databases. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong analytical and problem-solving skills. Experience with Python or R for data analysis. Ability to communicate complex results clearly and effectively. Experience with cloud technologies (AWS, Azure, or GCP). Familiarity with machine learning techniques or predictive modeling. Knowledge of ETL processes and workflow automation tools. Experience working with large-scale datasets or big data platforms. 401(k) plan with company match Dental and vision insurance Health insurance coverage Joining bonus Generous paid time off and holidays Learning & development opportunities
Location : [Austin, Texas]
Employment Type : Full-Time
Work Authorization : Must possess valid U.S. work authorization
Experience Level : 05 years
Education Requirement : Masters degree in a relevant field
About the Role
We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will leverage data to support business decision-making, conduct in-depth analyses, and develop insights that drive operational and strategic improvements. This role is suited for early-career professionals with strong quantitative skills and a passion for transforming data into actionable information.
Key Responsibilities
- Collect, clean, and analyze large datasets from multiple sources.
- Develop dashboards, reports, and visualizations to communicate insights to stakeholders.
- Apply statistical methods, data modeling, and quantitative analysis to solve business problems.
- Collaborate with cross-functional teams to define data requirements and analytics needs.
- Identify trends, patterns, and opportunities for process improvements.
- Support the development and maintenance of data pipelines and documentation.
- Ensure accuracy, consistency, and integrity of reported data.
- Present findings in a clear and concise manner to both technical and non-technical audiences.
Required Qualifications
Preferred Qualifications
Benefits
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