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Burnout in Data: What Leaders Need to Know

  • Writer: Primus Connect
    Primus Connect
  • Feb 28
  • 3 min read


The demand for data-driven insights has never been higher. Businesses rely on data teams to drive efficiency, improve decision-making, and unlock new opportunities. But with this increasing pressure comes a growing issue: burnout among data professionals. 

 

Long hours, tight deadlines, and the constant demand for real-time insights push many data specialists to their limits. If left unaddressed, burnout doesn’t just affect individual well-being—it impacts team performance, retention, and, ultimately, the quality of business outcomes. 

 

Recent data underscores the severity of this issue. According to a survey by Deloitte, 77% of professionals have experienced burnout at their current job, with unmanageable stress or frustration impacting work quality and personal relationships. With Mental Health Awareness Week approaching (12–18 May 2025), focusing on the theme of community, now is the perfect time for leaders to reflect on creating a more sustainable and supportive work environment for their data teams. 

 


Why Burnout is a Growing Issue in Data Teams 


The data industry presents a unique mix of pressures: 


1. The Demand for Always-On Insights 

Businesses expect data to be available in real-time, but many data teams are struggling with outdated systems, poor data quality, and ever-growing requests. The expectation to deliver instant, high-quality insights can quickly become overwhelming, especially when teams are already stretched thin. 

 

2. The Complexity of Data Roles 

Data professionals juggle multiple responsibilities—from maintaining infrastructure to solving business-critical problems. Whether it’s engineers keeping pipelines running, analysts uncovering trends, or scientists building models, the cognitive load in these roles is high. The sheer variety of tasks, combined with the need for precision and accuracy, makes data work both intellectually demanding and high-stakes. Unlike some roles where tasks are clearly defined, data teams often deal with ambiguous business questions, requiring them to extract meaning from raw information while managing stakeholder expectations. Without clear boundaries and structured workflows, the pressure to deliver can become relentless. 

 

3. The Talent Shortage Problem 

The demand for skilled data professionals is outpacing supply, leaving teams understaffed. With fewer people carrying heavier workloads, burnout becomes almost inevitable if leaders don’t step in. 


What Leaders Can Do to Prevent Burnout 


Burnout isn’t just a personal issue—it’s a leadership issue. Creating a sustainable work culture requires proactive change rather than reactive solutions. Here’s where to start: 


1. Prioritise Workload Management 

  • Avoid unrealistic deadlines – Not every data request is urgent. Help your team prioritise work based on business impact. 

  • Encourage focus time – Data work often requires deep concentration. Too many ad-hoc requests or meetings can drain productivity and energy. 

  • Make hiring a priority – If your team is stretched too thin, investing in new talent will pay off in the long run. 


2. Create a Culture of Psychological Safety 

  • Normalise conversations around workload – If people feel they can’t speak up about burnout, they’ll suffer in silence. Make it clear that mental health is taken seriously. 

  • Foster a supportive team dynamic – Peer support and mentoring can help alleviate stress and create community. 


3. Set Realistic Expectations Around Data Delivery 

  • Push back when necessary – Not all data problems have a simple or quick fix. Be transparent with stakeholders about timelines and limitations. 

  • Encourage quality over speed – Rushed analysis leads to poor decision-making. Give teams the time they need to deliver accurate, well-thought-out insights. 


4. Lead by Example 

  • Model healthy work habits – If leadership always works late, teams will feel pressured to do the same. Show that balance is valued. 

  • Recognise and reward effort – A simple acknowledgement of hard work goes a long way in making teams feel valued and motivated. 



Building a Sustainable Data Culture 


The businesses that attract and retain the best data talent aren’t just offering excellent salaries—they’re creating environments where professionals can thrive without burning out. 

 

With Mental Health Awareness Week on the horizon, now is the time to reflect on how you could build a stronger sense of community within your data team. Encourage open conversations, promote sustainable working practices, and ensure your team feels supported. 

 

If you’re looking to build a data team that’s both high-performing and resilient, Primus Connect can help. Whether it’s hiring the right people or advising on team structures, we’re here to support businesses in creating teams that don’t just deliver results— but do so sustainably. 

 

📩 Want to talk about data talent, team well-being, or hiring strategies? Let’s connect.  

 

 


 
 
 

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