What skills do you need to work remotely in Data Visualization?

Top 5 things to keep in mind in a virtual world while building data visualization dashboards are 1) Clearly understand clients requirement as it can avoid lot of blockers and you can deliver the right metrics that are expected. Don’t shy away from asking questions until you have clear understanding 2) Regular Check-ins - Regular check ins with stakeholders is important to ensure everyone is aligned 3) Visualizations - Ensure right visualizations are used to deliver insights as required 4) Summarize - Summarize what you want to go through before you communicate to stakeholders 5) Presentation - Use tools to effectively communicate findings to stakeholders in a clear and concise way

A remote data visualization expert needs the following top skills to deliver as per the business needs: 1. Understanding client business process and domain 2. Understanding the requirement very well from a business perspective that what the client wants to achieve from this requirement 3. To understand the business needs clearly, doing workshops remotely with business users is very much needed. 4. Mapping the business needs to technical design and talking to client IT team if that design is doable in the client IT infra 5. Understanding the data layer well is a must as the expert has to plan the right data from the right data source from the Data team. 6. Working in an agile manner and continuing validation of the output with business

Data visualisation can be done on many BI tools in the industry. Top 3 and Hottest ?? of these tools are Tableau Desktop, Power BI Desktop and Python apart one that's highly in use from decades i.e., Microsoft Excel. But a few supporting tools are also required herewith to data wrangling are SQL via SSMS, Tableau Prep Builder and Power Query Editor. For best experience in terms of User Interface (UI) and User Experience (UX), it's either Figma, Canva with minimum amount as investment.

Exploring Excel's Data Visualization Abilities: -Excel serves as an accessible starting point for beginners. -Recognize and utilize Excel's charting features and pivot tables to establish a foundational skill set. Advancing to Power BI and Tableau: -Progress to more specialized tools, such as Power BI and Tableau, as proficiency grows. -These platforms offer advanced features that enhance the depth and interactivity of data visualizations. Python's Pinnacle for Outstanding Data Visualization: -Mastering Python is a strategic move for creating exceptional data visualizations. -Python's versatility extends beyond data analysis, with libraries like Matplotlib, Seaborn, and Plotly enabling intricate and impactful visualizations.

By combining technical skills with effective communication, collaboration, and self-management abilities, you can thrive in a remote data visualization role. Keep refining and expanding your skill set to stay competitive in this dynamic field.

On Corporate - Although when it is interpretation of data, I've seen mostly used chart styles are of Bars, Trend analysis, scatter plots, KPI cards along with identifying new insights, a good rationale behind following certain logic in application, in addition to Navigation buttons and visual cue are mere enough to create a humungous and terrific positive impact from viewers. Likewise on Personal Growth - these same dashboards created and published to showcase our talents, these won't suffice. The entire game is different wherein you need to creatively come up with showing up data effectively. As much as it seems, Vision and Clarity here are 2 pinnacle aspects that can't be overlooked to be an excellent Analytical person.

"Always start with the end in mind" Audience-Centric Questioning: -Initiate the data visualization process by understanding the questions your audience seeks answers to. -Identify the key queries that the visual should address, relevance and engagement. Pattern Recognition and Insightful Analysis: -Analyze the data to uncover patterns, outliers, and trends that directly answer the audience's questions. -Apply appropriate statistical methods and techniques to extract meaningful insights from the dataset. Reducing Eye Movement for Clarity: -Structure your visualizations to minimize eye movement for the viewer upon the first encounter. -Ensure that the visual immediately communicates the key insights without the need for extensive analysis.

Remember that communication is two-way. Also try to avoid assumptions as much as you can. Make sure both parties are clear on all deliverables.

I think communication becomes a very integral part in remote settings. We need to have a proper communication channel to share and verify our findings with our stakeholders. Scrum calls do play a good part in this situation. If everything is documented and communicated well the whole flow becomes more smooth and it becomes easy to onboard future members and align everyone to a common objective.

In my experience, 2 main skills are, 1. Storytelling: Ability to tell a compelling story through data. 2. Written Communication: Clear and concise communication skills, especially in remote settings.

While working remotely, communicating your findings can be a challenge sometimes: Two main skills you would need are 1. Storytelling: You should be able to convince the client/manager to buy your story. 2. Presentation of Information: Don't forget the main hero from the script. The way you process information would help you to communicate clear intentions in a team

I agree with this approach, however picking up a book and reading old school style works here. By reading a technical text book, expertly written or books for dummies allows you to build the appropriate language; getting it right always. For my auditory learners: listen to a podcast that suits your style and your target audience. For my visual learners: watch a video which can be found on streaming platforms like YouTube.

Most people want to do a great job, and therefore, will say yes to a lot of projects and requests. You want to make sure you are giving yourself enough time to ensure your outputs put quality over quantity. Ensuring that you are keeping a list of projects, and having clear timelines will help you prioritise the correct tasks/projects at the right time!

This is an important one - I highly recommend a centralized place to keep tasks and information. Trello is an example of an app that is good for this. Establishing a consistent habit of recording all information in the app, setting target deadlines and checking it regularly will be helpful.

By following this sequence of self-management practices, remote professionals in data visualization can maintain a structured and productive workflow. These skills are crucial for sustaining motivation, managing time effectively, and achieving success in a remote work environment. -Set Realistic Goals: -Identify Activities in a Proper Sequence: -Break Down Activities in Days, Weeks, and Months: -Proactively Plan: -Task Priorities: -Stress Management: -Course Correction Along the Way: -Celebrate Little Milestones for Self-Motivation:

An example of maintains a healthy and productive routine is to begin by cultivating self-loving habits: if it feels right then it is right for you. Once you are able to cultivate these habits successfully then it is time to communicate your parameters to your teams. Remember to be open for feedback as teams require open feedback loops.

Clear communication, attentive listening, and virtual cooperation are essential for remote data visualization work. It is essential to have flexibility, time management, and problem-solving abilities. The keys are effective networking, client interaction, and emotional intelligence. Successful people have strong self-motivation, self-control, and feedback management skills. In a remote setting, combining technical proficiency with these interpersonal abilities promotes productive teamwork and career advancement.

Cultivating Social Skills for Remote Data Visualization Work is a challenging task. Therefore following activities will improve the social skills in a remote working environment. -Active Listening -Empathy -People Management -Collaboration -Conflict Resolution -Networking -Positive Attitude -Feedback Reception -Networking (Again for Emphasis)

Data visualization is not just about boring graphs and charts. It's a great way to show your creativity. I have learned that one should welcome new ideas, try different styles, and challenge the conventional ways of presenting data. Being creative means not only showcasing data but also making it exciting, inspiring, and even charming. You should infuse your personality into your visualizations and leave your signature touch that makes your work stand out. Keep yourself curious and stay up-to-date with the latest trends to keep your creativity fresh and relevant.

Most companies will only send you a laptop when you are working in a remote environment. Invest in a good quality Full HD monitor that works on 100% scaling in windows. This is a must because things might look okay to you but not to your end users and colleagues. I have personally experienced this issue when I was working with colleagues using Tableau Desktop multiple times. It often involves a lot of rework and is time-consuming to fix it.

Establishing a good working relationship when under hybrid employment terms is challenging but one must always remember that different industries and managers call for adapting to different technical, analytical and communication techniques/skills. Perseverance and empathy is key to building an honest and trusthworthy business relationship when working on all skills mentioned. Always being open to any form of feedback is paramount for career and personal growth in all skills.