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Data Visualization Manager

This role is for one of the Weekday's clients


Min Experience: 7 years

JobType: full-time

We are looking for a highly skilled and experienced Senior Data Visualization Manager to lead and contribute to the creation of impactful, data-driven presentations, dashboards, and reports. This role combines individual hands-on design work with leadership responsibilities such as mentoring team members and managing projects. You will play a key role in translating complex data into clear, compelling visual narratives for a range of internal and external stakeholders.

Key Responsibilities:

  • Individual Contribution: Create high-impact presentations, dashboards, and reports that effectively communicate complex data insights and drive decision-making.
  • Team Leadership (if applicable): Mentor and guide junior team members on data visualization techniques, tools, and best practices.
  • Project Management: Oversee multiple visualization and presentation projects, ensuring on-time delivery with high-quality outcomes.
  • Stakeholder Collaboration: Work closely with business stakeholders to understand their needs and translate them into meaningful visual outputs.
  • Data Analysis: Analyze data to uncover trends and insights, and craft compelling visual stories that resonate with target audiences.
  • Innovation & Tools: Continuously explore and implement new visualization tools, techniques, and technologies to improve presentation effectiveness.

Qualifications:

  • Bachelor's degree in a relevant field (e.g., Design, Business, Marketing, Data Science).
  • 7+ years of experience in creating data-driven visual content and reports.
  • Demonstrated ability to manage projects and mentor team members.
  • Proficiency in presentation tools (e.g., PowerPoint, Google Slides) and data visualization platforms (e.g., Tableau, Power BI, Looker).
  • Strong understanding of data storytelling and visualization best practices.
  • Excellent communication, collaboration, and presentation skills.
  • Experience in client-facing roles is a must.
  • Must be available to work night shifts in a hybrid work model from Day 1.
  • Highly organized and energetic, with a keen attention to detail.

Average salary estimate

$120000 / YEARLY (est.)
min
max
$100000K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Visualization Manager, Weekday AI

Are you an innovative and passionate Data Visualization Manager looking to make an impact? One of our esteemed clients is seeking a Senior Data Visualization Manager to spearhead the transformation of complex data into engaging visual narratives. With a minimum of 7 years of experience, your role will blend individual creativity with leadership responsibilities, guiding junior team members while overseeing multiple projects. You'll be crafting high-impact presentations, dashboards, and reports, ensuring that our clients' internal and external stakeholders can make informed decisions based on easily digestible insights. Your collaborative spirit will shine as you work closely with business stakeholders to understand their needs, translating them into stunning visual outputs. Not only will you analyze data to identify trends, but you'll also explore and implement the latest visualization tools to elevate the quality of presentations. This is a full-time position that will require you to be available for night shifts in a hybrid work model right from day one. If you're enthusiastic about data storytelling and possess excellent communication skills, we would love to have you join the team as we drive innovation in the field of data visualization!

Frequently Asked Questions (FAQs) for Data Visualization Manager Role at Weekday AI
What are the key responsibilities of a Data Visualization Manager at this company?

As a Data Visualization Manager in this company, you're expected to create impactful presentations, dashboards, and reports that communicate complex data insights effectively. You'll also lead and mentor junior members, manage several visualization projects simultaneously, and collaborate closely with business stakeholders to deliver meaningful visual outputs.

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What qualifications do I need to apply for a Data Visualization Manager position?

To qualify for the Data Visualization Manager position, candidates should hold a Bachelor's degree in a relevant field and possess at least 7 years of experience in data-driven visual content creation. Proficiency with tools like Tableau and Power BI, alongside strong communication and collaboration skills, is essential.

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Is experience in client-facing roles necessary for a Data Visualization Manager?

Yes, experience in client-facing roles is essential for a Data Visualization Manager in this company. It allows you to better understand stakeholder needs and effectively translate those into compelling visual stories.

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What tools will I need to use as a Data Visualization Manager?

As a Data Visualization Manager, proficiency in presentation tools such as PowerPoint and Google Slides, along with data visualization platforms like Tableau, Power BI, or Looker, is crucial for creating effective visual narratives.

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Does the Data Visualization Manager role require working night shifts?

Yes, the Data Visualization Manager position does require candidates to be available for night shifts in a hybrid work model starting from day one, providing flexibility in how you can manage your work-life balance.

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Common Interview Questions for Data Visualization Manager
How do you approach creating a compelling data visualization from complex data?

In approaching the creation of a compelling data visualization, I start by understanding the core message and insights from the data. It's essential to identify the target audience and tailor the visualization format accordingly, ensuring clarity and impact through effective use of color, layout, and narrative.

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Can you describe a time when you had to mentor a team member in data visualization?

Certainly! I once mentored a junior colleague who was struggling with storytelling through data. I organized a series of design critiques and workshops, where we explored visualization principles in-depth, which helped them gain confidence and improve their skills significantly.

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What project management strategies do you use when handling multiple data visualization projects?

I utilize agile project management techniques, breaking down larger projects into smaller, manageable sprints. This method allows for regular check-ins with stakeholders and ensures transparency while keeping the team focused and motivated to meet deadlines.

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How do you stay updated with the latest trends in data visualization?

Staying updated with the latest trends involves following industry leaders, subscribing to journals, and participating in webinars or workshops. Networking with other professionals also provides insights into emerging tools and best practices that can enhance our visual storytelling.

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Describe a successful stakeholder collaboration experience you've had.

In a past project, I collaborated closely with key stakeholders to gather requirements for a high-stakes presentation. Through weekly meetings, I collected feedback and iterated on visuals, ultimately delivering a presentation that exceeded expectations and facilitated important business decisions.

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How do you ensure that your data storytelling resonates with your audience?

To ensure that my data storytelling resonates with the audience, I focus on understanding their needs, preferences, and pain points. I tailor my visuals and narratives to align with their goals, making sure the insights presented are relevant, actionable, and emotionally impactful.

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What data visualization tools do you find most effective and why?

I find Tableau and Power BI to be incredibly effective because they offer powerful analytics capabilities and user-friendly interfaces. They allow for interactive visualizations that can be easily shared with stakeholders, making complex data more accessible.

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How would you handle constructive criticism on your visual designs?

I embrace constructive criticism as a valuable opportunity for growth. I actively listen to feedback, assess its relevance, and make necessary adjustments to enhance my work. This collaborative spirit ultimately leads to better outcomes for the project.

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Why is data storytelling important in your role as a Data Visualization Manager?

Data storytelling is critical in my role as it transforms raw data into relatable narratives that can influence decision-making. By presenting insights in an engaging way, I help stakeholders connect emotionally and intellectually with the data, driving impactful actions.

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What steps do you take to analyze data before creating visual content?

Before creating visual content, I meticulously analyze the data to identify key trends and insights. I quantify results, utilize statistical methods as needed, and ensure that my findings align with stakeholder objectives, setting the stage for compelling visualizations.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 10, 2025

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