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Data Analyst

Listing for: Telenett
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 65000 - 95000 USD Yearly USD 65000.00 95000.00 YEAR

Job Description & How to Apply Below

We are seeking a skilled Data Analyst to join our dynamic team. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to derive actionable insights and support decision-making processes. You will work closely with cross-functional teams to identify data needs and provide analytical support for various projects.

Key Responsibilities:

  • Gather and analyze data from multiple sources to identify trends, patterns, and anomalies.
  • Develop and maintain dashboards and reports to visualize data and communicate findings to stakeholders.
  • Collaborate with business units to understand their data requirements and provide analytical solutions.
  • Perform data cleaning and validation to ensure accuracy and reliability of data.
  • Utilize statistical methods and tools to interpret data and generate meaningful insights.
  • Present findings and recommendations to management and other stakeholders in a clear and concise manner.
  • Stay updated on industry trends and best practices in data analysis and visualization.

Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Analyst or in a similar analytical role.
  • Proficiency in data analysis tools and software such as SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to convey complex information to non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

  • Experience with programming languages such as Python or R.
  • Knowledge of machine learning techniques and statistical analysis.
  • Familiarity with database management systems and data warehousing concepts.
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