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What potential hurdles might they encounter during this transition, and how might they overcome these challenges?

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Challenges for data analysts transitioning to senior roles include advanced skill requirements, leadership and communication expectations, competition from experienced candidates, evolving technology demands, the need for domain knowledge, and the importance of certifications and networking. To overcome these challenges, continuously upskill, seek mentorship, highlight unique strengths, stay updated on industry trends, deepen industry-specific knowledge, and actively build a professional network.

If you are planning to get into this field, then check out this video about Pankaj and how he upskilled and got promoted as a Senior Data Analyst with a good salary hike just after completing Intellipaat's Advanced Certification in Data Science and AI.


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