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    Home » My Most Valuable Lesson as an Aspiring Data Analyst
    Artificial Intelligence

    My Most Valuable Lesson as an Aspiring Data Analyst

    ProfitlyAIBy ProfitlyAIAugust 20, 2025No Comments7 Mins Read
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    studying knowledge evaluation, I used to be overly obsessive about the instruments and the glamor which may include the title of being an information analyst.

    My internship began, and I had one aim in thoughts: to develop my technical abilities. I imply, everybody desires to make their LinkedIn profile embellished with abilities and certifications.

    What I didn’t count on, although, was that my most precious lesson wouldn’t come from a instrument or tutorial. It got here from one thing way more human: collaboration.

    Initially, I tried to sort out every part alone, viewing every process as a private problem. Little did I do know, my productiveness was considerably restricted as a result of I spent longer hours attempting to determine options to issues every time I discovered myself caught.

    It wasn’t till I began in search of suggestions and involving skilled professionals that issues started to fall into place.

    That’s once I realized that in knowledge evaluation, working with others will not be non-compulsory; it’s extra of a necessity.

    As we progress, I purpose to share my expertise with collaboration and the way it formed me as an aspiring knowledge analyst. Plus, why I consider it’s one of the most important (and underrated) abilities each knowledge analyst ought to concentrate on.


    The Early Days of My Internship

    As a younger lad entering into the sector, I actually simply needed to get my palms on actual knowledge. Up till then, most of my apply had been with pattern datasets.

    Now, I’ve my internship. I had the chance to work with knowledge that mattered to a corporation.

    I used to be given a mission to construct a fundamental report utilizing knowledge on operational actions. The info wasn’t too messy, nevertheless it wasn’t clear both. It contained some inconsistent values, duplicate rows, and fairly a couple of lacking entries.

    I dealt with it utilizing Excel and Energy Question, then cleaned up what I might, and constructed a dashboard that I assumed appeared first rate. Actually, I used to be happy with it.

    Quick ahead, it’s presentation time.

    Earlier than I transfer ahead, right here’s one thing: nobody informed me concerning the presentation side of knowledge evaluation.

    As humorous as which may sound, it’s true. I beforehand thought that I’d work with the information, make which means from it, then move it off to the blokes in administration or one thing like that.

    Snap again to actuality, I offered the dashboard, and my supervisor didn’t appear impressed. Not as a result of the visuals have been unhealthy, the truth is, he mentioned it appeared good.

    The difficulty was that the dashboard didn’t talk what the group truly wanted to see.

    In truth, I hadn’t spoken to anybody about what insights have been helpful to them, or what data would support correct effectiveness in decision-making.

    These are the basics that matter in knowledge evaluation, and I used to be missing in that side. I constructed it based mostly on what I assumed was essential, not what they wanted.

    I hadn’t requested questions like:

    • “Who goes to make use of this dashboard?”
    • “What choices will this assist them make?”
    • “Why does this data matter to them?”

    That’s the ability of collaboration, asking questions earlier than the beginning of a mission and in search of suggestions on completion.

    What Collaboration Taught Me

    Over time, I started to note that, regardless of my visuals being clear and my numbers correct, folks typically didn’t perceive my stories.

    I’d spend hours fixing an issue that might’ve been prevented with a two-minute dialog. Take it or go away it, I consider knowledge must be examined collectively and communicated in a approach that brings others alongside for the experience.

    Information evaluation isn’t simply concerning the knowledge, it’s concerning the folks.

    The extra I labored with folks, the extra I noticed how important collaboration is to all the knowledge evaluation course of. Wanting again, these moments of working with others have been once I grew essentially the most.

    One of many first instances I sat down with a non-technical workers member, I used to be shocked by how in another way they seen the information.

    I had spent many hours making a chart to indicate month-to-month exercise traits, however once I defined it, they mentioned:

    “Okay… however how do I do know if we’re doing higher or worse than final quarter?”

    I had a shift in mindset.

    As a substitute of simply constructing charts that look good, I began pondering from the angle of a non-technical workers member. It’s like having additional eyes on an issue; it might enable you see issues in another way.

    Suggestions

    Earlier than my internship, I’d construct one thing, give it a few checks, after which bounce proper into one other with out asking for recent takes on my evaluation.

    Alternatively, in a group setting, suggestions is commonly a part of the workflow.

    Generally that meant revising a chart as a result of it wasn’t clear, or realizing a KPI I assumed was helpful was irrelevant to the individual studying the report.

    Every spherical of suggestions helped me refine each the visuals and the story the information was telling. It taught me that even in knowledge evaluation, creativity and revision go hand in hand.

    And right here’s the factor, suggestions isn’t at all times about fixing errors. Generally it’s about uncovering alternatives you didn’t see by yourself.

    For a lot of, in search of suggestions is uncomfortable and could be a drag. Dont fear, you’re not alone. Central to this argument is the notion of this study that explains the sudden spike within the coronary heart charges of people whereas receiving suggestions.

    The important thing lesson from this examine exhibits that suggestions isn’t criticism, however reasonably it’s collaboration in disguise.

    It’s different folks lending you their views so your work can shine brighter. And belief me, the quicker you invite it, the quicker your abilities develop.

    I discovered to cease ready till my work was “excellent” earlier than sharing it. As a substitute, I’d current early drafts, collect enter, and enhance alongside the best way.

    Collaboration builds extra than simply abilities – it builds your community

    Personally, networking within the knowledge business is highly underrated and never talked about sufficient. If there was one factor I didn’t understand earlier than my internship, it’s how a lot collaboration naturally builds relationships.

    Whenever you work intently with folks, perhaps via asking questions, speaking technical options over lunch, and even fixing a mission collectively, you’re not simply finishing duties; you’re creating connections.

    I began to see how precious this was when a developer I had collaborated with on an information pipeline concern despatched me a course recommendation that turned out to be a game-changer for my SQL abilities. It’s on YouTube, and I counsel you to test it out.

    From a technical perspective, collaboration expands your “toolbox” in methods self-study gained’t do due diligence. Each time I labored with somebody, I picked up one thing new (irrespective of how fundamental).

    Now right here is the very best half: these relationships don’t simply finish when the internship does. The identical folks you collaborate with immediately can turn out to be your mentors, your referees for future jobs, and even your teammates once more in one other group.

    Collaboration is the bridge between your present ability set and your future alternatives.


    Conclusion and takeaways

    Wanting again, my internship didn’t simply train me knowledge abilities; it taught me how you can work with folks. I understood that my actual worth is multiplied once I work with others, not simply alongside them.

    The reality is, irrespective of how good you’re with Python, Tableau, or SQL, you’ll at all times go additional and at a powerful tempo if you faucet into the data and views of the folks round you.

    If you happen to’re beginning in knowledge evaluation, remember that your instruments will get outdated, your tech stack will evolve, however your potential to work nicely with folks won’t ever lose its worth.



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