Data Analyst (Austin)NetBounce Global LLC • Austin, TX, US

Data Analyst (Austin)

NetBounce Global LLC • Austin, TX, US

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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

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.

Preferred Qualifications

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.

Benefits

401(k) plan with company match

Dental and vision insurance

Health insurance coverage

Joining bonus

Generous paid time off and holidays

Learning & development opportunities

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