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Responsibilities:
- Collect, clean, and prepare data from multiple sources for analysis.
- Perform data profiling to assess data quality, accuracy, and completeness.
- Conduct data mining to identify trends, correlations, and insights.
- Develop and maintain reports and dashboards in Power BI.
- Write and optimize SQL queries to extract, manipulate, and analyze data.
- Use Excel for data organization, pivot tables, and basic statistical analysis.
- Apply Python for data processing, automation, and visualization.
- Support senior analysts and business teams with ad hoc data analysis requests.
- Document methodologies, data flows, and reporting processes.
Qualifications
- Bachelor’s degree in data science/Analytics, Statistics, Computer Science, Mathematics, Information Systems, or a related field.
Required Skills
- Proficiency in Microsoft Excel (formulas, charts, pivot tables).
- Basic knowledge of SQL for querying relational databases.
- Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
- Hands-on experience with Power BI or similar visualization tools.
- Understanding of data mining, data profiling, and ETL processes.
- Strong analytical thinking, problem-solving, and communication skills.
Key Skills
Ranked by relevance
data mining
python
excel
sql
data analysis
power bi
pandas
numpy
etl
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- Posted
- May 19, 2026
- Type
- Full-time
- Level
- Entry
- Location
- New Jersey
- Company
- Amdocs
Industries
Software Development
Data Infrastructure
Analytics
Categories
Engineering
Information Technology
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