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Skills Required:
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Proficiency in data analysis tools like Excel, SQL, and data visualization tools like Tableau or Power BI.
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Strong analytical and problem-solving skills.
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Knowledge of statistics and data modeling.
2. Business Intelligence (BI) Analyst
Skills Required:
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Proficiency in BI tools like Tableau, QlikView, or Power BI.
- Strong SQL and database management skills.
- Understanding of business processes.
Skills Required:
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Advanced knowledge of Machine Learning and statistical modeling.
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Proficiency in programming languages like Python or R.
- Big data skills, including Hadoop and Spark.
3. Data Engineer
Skills Required:
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Expertise in ETL (Extract, Transform, Load) processes.
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Strong programming skills, often in languages like Python or Java.
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Database administration and management knowledge.
4. Machine Learning Engineer
Skills Required:
-
Strong programming skills in Python, Java, or similar languages.
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Deep understanding of Machine Learning algorithms and frameworks.
- Experience with model deployment and scaling.
Read more: https://shorturl.at/eimA7
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