Data Analyst

6 days ago

Austin, Texas, United States NetBounce Global LLC Full time $60,000 - $120,000 per year

Location:
[Austin, Texas]

Employment Type:
Full-Time

Work Authorization:
Must possess valid U.S. work authorization

Experience Level:
0–5 years

Education Requirement:
Master's 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

  • Master's degree in
    Data Science, Statistics, Computer Science, Analytics, Engineering, Business Analytics, or a related field
    .
  • 0–5 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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