IYKRA provide range of product and service on Consulting, Development and Education in Big Data, Analytics, AI and Business Intelligence for Corporate and Public/Individual
IYKRA was established in 2017 by group of experienced professional with proven portfolio and credentials. We strive to bring cutting-edge knowledge and industry best practices to advance the skills of the future workforce in collaboration with experts of the industry in order to keep up with the ever-changing challenges. We have provided customized services to multinational blue chip companies and currently expanding our products for public through comprehensive blended learning methods.
Current technology knowledge areas include: Data science, Data engineering, Business Intelligence, and Business Analytics ------------------------------ For further information please email to contact@iykra.com
Rating Reviews
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Pros: The remote work flexibility is a big plus; I could work from my home in Jakarta easily. You generally get decent time off, and it's not a super strict 9-5, which helps with personal stuff.
Cons: As a Data Analyst, the workload for data analytics projects can sometimes be pretty heavy. Deadlines often mean working extra hours, especially at month-end. It's not always easy to log off on time.
Advice to Management: Try to better manage project scopes and set more realistic expectations for deadlines. Help us protect our personal time better.
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Pros: IYKRA offers decent remote work options, which is a lifesaver as a Data Analyst Instructor. I've got pretty flexible hours for most of my data science training tasks. It's a big plus for work-life balance.
Cons: Sometimes the AI consulting project deadlines mean less flexibility than you'd hope for. You can't always dictate your schedule, even with a remote setup. It gets tough during crunch times in this startup environment.
Advice to Management: Keep pushing for true asynchronous work whenever possible. Help teams manage client expectations better so flexible hours aren't always compromised.
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Pros: I like that IYKRA offers some hybrid work flexibility. For Junior Data Consultant roles, I usually get my work done within standard hours. It's not a crazy startup grind all the time at the Jakarta office.
Cons: Sometimes project deadlines mean working longer. It can be hard to say no to extra tasks, especially in this growing data consulting startup. Some managers could be better about protecting personal time.
Advice to Management: Try to enforce boundaries around project deadlines. It would really help staff, especially those in entry-level data roles, manage their time better and prevent burnout.
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What is the management style like at IYKRA, and how does it impact the day-to-day working culture for employees in their Berlin tech office?
Management at IYKRA fosters a collaborative environment, encouraging open communication and direct feedback. This approach contributes to a dynamic working culture where team members feel empowered to contribute ideas and take ownership of their projects, particularly within their engineering teams.
What is the day-to-day work environment like at IYKRA, and how collaborative is the team?
At IYKRA, the work environment is quite collaborative, especially within the machine learning and research teams. We often have cross-functional discussions on projects, which helps in problem-solving and innovation. The culture encourages sharing knowledge and working together to achieve shared goals.
What is the work-from-home policy like at IYKRA for roles like a data scientist in Berlin?
IYKRA offers a hybrid work model, allowing data scientists and other employees in Berlin to work remotely up to two days per week. The rest of the week is spent collaborating in the office, balancing flexibility with team interaction.
What is the typical team collaboration like at IYKRA, especially for remote roles in the AI research sector?
At IYKRA, collaboration is highly valued, utilizing a mix of asynchronous tools and regular virtual stand-ups. Teams are structured to foster knowledge sharing, ensuring that even remote AI researchers feel connected to project goals and team members.
