Pros and cons from my experience in marketing analytics

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It’s common for a data analyst to support marketing but there’s not much information telling you what it’s actually like being a marketing data analyst. Having supported marketing as a data analyst in multiple companies I want to discuss my experience and what’s in store if you decide to take on a marketing analytics role.

Marketers have a lot of ideas and they need to have this ability to be successful in their job. Unfortunately, this also means the data requests come off the top of their head as new ideas form. …


A career strategy to ensure success

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You’re probably wondering why someone would advocate for a data scientist to become a data analyst. As someone that’s been a data scientist and a data analyst I want to discuss why you should consider becoming a data analyst even if you’ve trained to be a data scientist.

A study released by Interview Query reports that “data science interviews plateaued in 2020. Data science interviews only grew by 10% after previously growing by 80% year over year. The second fastest position growth within data science roles went to business and data analysts which increased by 20%.”

Data science roles are…


Alternative job possibilities for data scientists

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The demand for data scientists has grown in recent years but at the same time it’s become more competitive to get a data scientist job. If you’re currently looking for a data scientist job and haven’t gotten any interviews or made it to the final round but still weren’t hired, what are your options? You can continue applying and hope you’ll eventually find a job, or consider a change in your job search strategy. Today I’d like to discuss alternatives to explore if you’re finding it difficult to get a data scientist job.

Positions with data scientist titles may not…


Lessons I’ve learned from presenting to senior leadership

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There may come a time in your data analytics career when you’re asked to present your data results to senior leadership. This will be a pivotal moment because a successful presentation can leave an everlasting impression on the people involved in approving your compensation and promotion within the company. When I became a data scientist and then a data analyst I had to learn how to present effectively from trial and error. Fortunately my presentations were never a disaster but it could’ve been better had I known what I do now. …


Expectations versus reality

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When I first started working as a data scientist and then a data analyst I had many misconceptions of what the job would be like. Fast forward years later and I wish someone had told me upfront what to expect. Today I’d like to discuss the expectations versus the reality of a data analytics job to prepare you for what’s next.

A common misconception is you’ll always have data you need to do your analysis. You may think this is a given but even large companies where the data infrastructure is mature doesn’t house all the data necessary. Data can…


Even if you don’t plan to become a data scientist

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If you’re a data analyst or considering becoming one you may think you don’t need to learn data science. As someone that was first a data scientist and then a data analyst, I never realized how useful it would be knowing how to build machine learning models when I became a data analyst. Today I’d like to discuss why a data analyst should consider learning data science even if they don’t plan to become a data scientist.

Junior analyst jobs are competitive and any additional skills you have can stand out against candidates applying for the same position. Looking at…


Don’t be misled by job titles

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If you’re looking for a data analyst job you may only be searching for jobs with a data analyst title. What you may not realize is that many data scientist jobs are really data analyst jobs in disguise. The title of data scientist attracts more applicants but in reality the job responsibilities are that of a data analyst. Having been a data scientist and a data analyst I’d like to clarify the differences between a data scientist and data analyst and discuss why data analysts should apply to jobs with a data scientist title.

Data analysts use data at an…


Why choose only one role when you can try both?

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If you’ve been looking into a career in data analytics a common question you may have is whether you should become a data scientist or a data analyst. My experience is unusual because I was a data scientist first and then a data analyst. I realized after being in both roles that if I had been a data analyst first I would’ve had greater success in my data scientist role. Today I’d like to discuss why you should consider becoming a data analyst first and then decide if you want to become a data scientist.

The requirements to become a…


Tips to prevent stressful situations from forming

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There’s a lot of information on how to become a data scientist or a data analyst but there’s little on how stressful these positions can be. As someone first starting out as a data scientist or a data analyst you may unknowingly put yourself into a stressful situation. Today I’d like to share my experiences when I was a data scientist versus a data analyst and my advice to prevent stressful situations from forming.

Stress caused by a looming a due date is very common. Reduce stress by working with your stakeholders to prioritize requests and agree on a project…


How to show you’re ready for the next level

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It’s 2021 and time for annual performance reviews and setting new goals for the year. If you’re looking to make the jump from junior to senior data analyst this is my advice based on experience working with junior analysts that have made it to the next level.

Junior analysts tend to ask more questions due to lack of experience. A senior analyst asks fewer questions because they’re able to make decisions from past experience. This doesn’t mean you shouldn’t ask questions as a junior analyst. You’ll never gain experience without asking questions and making mistakes along the way. However, avoid…

Vicky Yu

Musings of a data scientist turned data analyst. Sharing my data experiences one story at a time.

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