6 answers
Ladna
Student
Rochester, Minnesota
5
Questions
Asked
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What was something you struggled with when you first started as a Data Analyst? ?
I am student researching different careers, and I would like to know more about the role of a Data Analyst.
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6 answers
Evana Delvallee
1
Answer
Tampa, Florida
Updated
Evana’s Answer
Hi Ladna,
Early in my data analyst role, I struggled to translate vague stakeholder questions into clear, concise, and decisive driven response. For example, when someone asked, “How is the firm doing?” I would rush into SQL and pull data from multiple sources, eg; finance data, human capital data, sales data etc., only to realize later that we had not aligned on the true question, the relevant metrics, the timeframe, or the decision the analysis was meant to support. This led to unnecessary work and wasted time. I learned to start by clarifying the intent of the request—why the stakeholder needs the analysis, what actions the data should enable, and how the results will be used.
Good luck on your career development !
Early in my data analyst role, I struggled to translate vague stakeholder questions into clear, concise, and decisive driven response. For example, when someone asked, “How is the firm doing?” I would rush into SQL and pull data from multiple sources, eg; finance data, human capital data, sales data etc., only to realize later that we had not aligned on the true question, the relevant metrics, the timeframe, or the decision the analysis was meant to support. This led to unnecessary work and wasted time. I learned to start by clarifying the intent of the request—why the stakeholder needs the analysis, what actions the data should enable, and how the results will be used.
Good luck on your career development !
Karen Russell
Project/Product Manager | Business Analyst | Technical Writer
2
Answers
Hackensack, New Jersey
Updated
Karen’s Answer
I didn't reaally struggle with anything. I think as long as you know your SQL well, and you can understand the relationships between the tables, you are golden. You will learn advanced techniques on the job, which will be fun. To create the most expansive career possible, connect with analyst groups where you can talk shop/ask a tech question if you get stuck on something. Also, learn how the business works so you understand the context why the tables exist, which is highly valued in the job market.
Divyanshu Bhuria
Systems Analyst
10
Answers
Princeton, New Jersey
Updated
Divyanshu’s Answer
When I first started, there were a few challenges that felt intimidating at first but each one became a powerful learning opportunity.
These are five areas where I grew the most early on:
1. Learning how to translate business questions into analysis
* Business questions were often broad or unclear, and at first that felt overwhelming.
* Over time, I learned that asking clarifying questions is a strength, not a weakness.
* This skill helped me deliver more focused, impactful insights.
2. Getting comfortable with messy, real-world data
* Real data rarely arrives clean or complete, and that was a big adjustment.
* I eventually realized that data cleaning is where analysts create a lot of value.
* Each messy dataset sharpened my attention to detail and problem-solving skills.
3. Understanding which metrics really matter
* Early on, it was tempting to analyze everything.
* With experience, I learned how to identify the few metrics that truly drive decisions.
* This made my work clearer, faster, and more useful to stakeholders.
4. Communicating insights with clarity and confidence
* Explaining results to non-technical audiences was challenging at first.
* Practice taught me how to focus on the story and the impact, not just the numbers.
* This skill helped my work influence real business outcomes.
5. Building confidence and trusting the learning process
* Like many beginners, I sometimes doubted myself.
* With each project, my confidence grew alongside my experience.
* I learned that feeling unsure is often a sign you’re learning something new.
Every experienced Data Analyst has gone through this phase. The challenges don’t mean you’re behind, they mean you’re building the foundation for long-term success.
These are five areas where I grew the most early on:
1. Learning how to translate business questions into analysis
* Business questions were often broad or unclear, and at first that felt overwhelming.
* Over time, I learned that asking clarifying questions is a strength, not a weakness.
* This skill helped me deliver more focused, impactful insights.
2. Getting comfortable with messy, real-world data
* Real data rarely arrives clean or complete, and that was a big adjustment.
* I eventually realized that data cleaning is where analysts create a lot of value.
* Each messy dataset sharpened my attention to detail and problem-solving skills.
3. Understanding which metrics really matter
* Early on, it was tempting to analyze everything.
* With experience, I learned how to identify the few metrics that truly drive decisions.
* This made my work clearer, faster, and more useful to stakeholders.
4. Communicating insights with clarity and confidence
* Explaining results to non-technical audiences was challenging at first.
* Practice taught me how to focus on the story and the impact, not just the numbers.
* This skill helped my work influence real business outcomes.
5. Building confidence and trusting the learning process
* Like many beginners, I sometimes doubted myself.
* With each project, my confidence grew alongside my experience.
* I learned that feeling unsure is often a sign you’re learning something new.
Every experienced Data Analyst has gone through this phase. The challenges don’t mean you’re behind, they mean you’re building the foundation for long-term success.
Julia Roach
HR Operations
2
Answers
Syracuse, New York
Updated
Julia’s Answer
Hi Ladna,
What an exciting time for you as you explore new career paths! Remember to take a moment to enjoy this journey of discovery. It's a special time where you can dream about all the possibilities ahead.
Don't worry too much about how hard things might be. Every career takes time to master. I'm happy to share my story to help you out.
I began in human services and now work at PricewaterhouseCoopers, focusing on data analysis. I didn't have much formal training in this area, but I found that many of my skills from the past were useful.
The hardest part for me was learning the tools and technology needed for data analysis. I watched a lot of YouTube videos to teach myself things like Google scripting and Microsoft Power Query. Understanding why data analysis is important came easily, but learning how to do it took time.
If you're interested in this field, having a critical thinking mindset is key. Data analysis is more than just numbers; it's about questioning assumptions, spotting patterns, and making conclusions that help businesses. Being curious and persistent is just as important as technical skills.
Good luck with your career exploration!
Julia
What an exciting time for you as you explore new career paths! Remember to take a moment to enjoy this journey of discovery. It's a special time where you can dream about all the possibilities ahead.
Don't worry too much about how hard things might be. Every career takes time to master. I'm happy to share my story to help you out.
I began in human services and now work at PricewaterhouseCoopers, focusing on data analysis. I didn't have much formal training in this area, but I found that many of my skills from the past were useful.
The hardest part for me was learning the tools and technology needed for data analysis. I watched a lot of YouTube videos to teach myself things like Google scripting and Microsoft Power Query. Understanding why data analysis is important came easily, but learning how to do it took time.
If you're interested in this field, having a critical thinking mindset is key. Data analysis is more than just numbers; it's about questioning assumptions, spotting patterns, and making conclusions that help businesses. Being curious and persistent is just as important as technical skills.
Good luck with your career exploration!
Julia
Kristen Drobnis
Data Protection Officer
3
Answers
Mashpee, Massachusetts
Updated
Kristen’s Answer
The first thing that I struggled with was learning the organization's policies and procedures around building data tools or algorithms. I suggest when starting a role as data analyst learning as much as possible through reading the organizations policies and procedures as well as speaking with others on the team. Try to find a mentor in the department to also provided support. Absorb as much as possible about processes, technology and other aspects this will help you become knowledgeable about your role and help you excel in your career.
Rei Yamamoto
data analyst
2
Answers
Pleasanton, California
Updated
Rei’s Answer
One of my biggest struggles starting out was navigating the isolation of decision-making. In data analysis (i.e. providing insights, connecting data, creating logics, etc.), there is rarely just one 'correct' way to solve a problem—you often find yourself choosing between several different valid approaches depending on the business goal.
When I was the sole analyst on a team, I struggled with knowing if my logic was sound. I learned to overcome this by reaching out to other departments to 'bounce ideas' off them. Later, when I worked in a dedicated analyst group, I realized how much faster we arrived at 'best-fit' solutions through peer review. I’ve learned that the best data analysis isn't done in a vacuum; it’s a collaborative process of refining ideas.
When I was the sole analyst on a team, I struggled with knowing if my logic was sound. I learned to overcome this by reaching out to other departments to 'bounce ideas' off them. Later, when I worked in a dedicated analyst group, I realized how much faster we arrived at 'best-fit' solutions through peer review. I’ve learned that the best data analysis isn't done in a vacuum; it’s a collaborative process of refining ideas.