How can you move from data analytics to other data roles?

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Data analytics is a valuable skill that can open up many opportunities in the data field. But what if you want to explore other data roles, such as data engineering, data science, or data visualization? How can you transition from data analytics to these roles, and what skills and knowledge do you need to acquire? In this article, we will discuss some tips and strategies to help you move from data analytics to other data roles.

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Aadi Jain

I help consumer tech startups get insights from data | 9+ years exp.

1 Assess your current skills

The first step to moving from data analytics to other data roles is to assess your current skills and identify your strengths and weaknesses. Data analytics involves collecting, cleaning, processing, and analyzing data to generate insights and recommendations. Depending on your experience and background, you may have different levels of proficiency in various tools and techniques, such as SQL, Python, R, Excel, Tableau, Power BI, statistics, machine learning, etc. You should evaluate your skills and knowledge in these areas and compare them with the requirements and expectations of the data roles you are interested in.

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Aadi Jain

I help consumer tech startups get insights from data | 9+ years exp.
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Forget about tech skills. If you have worked for a few years, you probably know which aspects of analytics you enjoy more - - writing efficient queries and clean code - playing with data and finding insights - understanding user behavior and business outcomes - building predictive models - managing the data infrastructure - managing people and interacting with other stakeholders Build from here. You want to do more of what you enjoy. analytics has a low barrier for technical skills, but a high barrier for soft skills. So find out where you shine much brighter than others. Evaluate how these soft skills fit into other roles you want to pursue.

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2 Learn new skills

The next step is to learn new skills and expand your knowledge base. Depending on the data role you want to pursue, you may need to learn different skills and concepts, such as data warehousing, data pipelines, cloud computing, big data, advanced statistics, deep learning, natural language processing, data storytelling, etc. You can use various resources and platforms to learn these skills, such as online courses, books, blogs, podcasts, webinars, etc. You should also practice applying these skills to real-world data problems and projects, and showcase your work on your portfolio or GitHub.

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Aadi Jain

I help consumer tech startups get insights from data | 9+ years exp.
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The best way to learn new skills is by doing the work. If you can do a 6 month course of your own free will, go ahead and do it! But if you learn better on the job, the best way forward is to take up projects where you get to learn new skills. Want to learn machine learning - find a product manager who could use a bit of ML. Want to learn data engineering - find something to fix in your data pipeline. Data viz? Present your work in the best way possible. If your org allows you to move from one role to another, make the most of it. There is no better learning than that on the job.

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3 Network with other data professionals

Another important step to moving from data analytics to other data roles is to network with other data professionals and build your connections and reputation. Networking can help you learn from others' experiences and insights, get feedback and advice, discover new opportunities and trends, and find mentors and referrals. You can network with other data professionals through various channels, such as online communities, forums, groups, events, meetups, conferences, etc. You should also update your resume, LinkedIn profile, and online presence to reflect your new skills and interests.

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Aadi Jain

I help consumer tech startups get insights from data | 9+ years exp.
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If you are an introvert and find it hard to network, don't put too many eggs into this basket. Instead, rely on the time-tested methods of being really good at your job, and applying to roles when you see them. It might take more time, but it will be less frustrating. Networking is a powerful tool and you should learn to use it in time. But it takes time to get good at it if you have been a lifelong introvert. Make it a goal for your next to next job switch instead.

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4 Apply for data roles

The final step is to apply for data roles that match your skills and goals. You should research the data roles and companies that you are interested in, and tailor your resume and cover letter to highlight your relevant skills and achievements. You should also prepare for the data interviews, which may involve technical, behavioral, and case-based questions. You should practice your coding, problem-solving, communication, and presentation skills, and demonstrate your passion and curiosity for data. You should also follow up with the recruiters and hiring managers, and seek feedback and improvement.

Moving from data analytics to other data roles can be challenging but rewarding. By following these steps, you can develop your skills and knowledge, expand your network and opportunities, and pursue your data career goals.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Aadi Jain

I help consumer tech startups get insights from data | 9+ years exp.
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Don't be afraid. Changing career is no easy task. You are giving up on something you have already mastered to enter a new field and learn from scratch. Don't fear rejection. It's unavoidable. Apply to roles that seem out of reach - you never know. Don't judge yourself too harshly. Let others do it for you. Don't forget to highlight you well you did in your previous roles. Show off. Most of all, don't change career if you are doing it for a big pay. A career is a lifelong choice, and you will eventually make more than you need. If you choose well, you will have more fun.

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How can you move from data analytics to other data roles?

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1 Assess your current skills

2 Learn new skills

3 Network with other data professionals

4 Apply for data roles

5 Here’s what else to consider

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