Communication as the Pathway to Promotion in Data & Analytics
Douglas Robertson
Recovering data analyst, helping businesses hire top data and analytics talent | Founder @ DR Analytics Recruitment | Head of Operations @ Data Engineer Camp | Perth ??
Last week someone said to me "You get promoted to the level of your communication in data & analytics" and while not 100% true all the time the statement is worth looking into. Let me break down what this means and the factors at play that make this true some of the time. We must consider:
Each factor contributes to strong communication ability giving rise to higher promotion likelihood.
Engaging Non-Technical Stakeholders
One of the key challenges in the data & analytics field is bridging the gap between technical expertise and non-technical stakeholders. To excel and move up the career ladder, professionals must learn to communicate complex data insights and activities in a way that is accessible and actionable to a non-technical audience.
This involves not just simplifying the language but also connecting data insights to business objectives and outcomes. The ability to translate data into strategic decisions is a highly valued skill that can significantly enhance one's prospects for promotion.
For example: building a robust data pipeline to ingest data from a variety of enterprise systems is difficult to understand. A data engineer may use an analogy to explain how each system needs its own key and car designed to transport data effectively with safety measures like seatbelts in place.
Managing Technical Workload Effectively
Handling a heavy technical workload is one thing, but communicating about it effectively is another. As professionals advance in their careers, they often find themselves in roles where they need to delegate, manage projects, and explain the intricacies of their work to others. Effective communication here means being clear about timelines, dependencies, and potential bottlenecks. It's about creating a narrative around the technical work that aligns team efforts with management objectives. Those who master this aspect of communication are often seen as natural leaders, paving their way to higher positions.
If you can communicate your workload well then others can understand how you're helping the business which leads to them understanding your value. For example: if you're a data scientist beginning to work on data quality for a model you can explain the significance of this to stakeholders and how whilst 'data cleaning' may sound simple it affects the whole project outcome.
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Addressing the Lack of Data Literacy
In many organisations, there's a significant gap in data literacy, which can be a barrier to the effective use of analytics. Promotable professionals are often those who help bridge this gap. They not only excel in their technical skills but also contribute to enhancing the data literacy of their peers and superiors. This might involve conducting training sessions, creating easy-to-understand dashboards, or simplifying complex data sets into more digestible formats.
Part of addressing data literacy is communicating your work in ways that allow folk to learn and understand from you. Positioning yourselves as on the same side of the battlefield against the messy data that needs to be wrangled can be helpful.
For example: Explaining relational databases to non-technical people can be made easier with a familiar analogy. One commonly used analogy is comparing a relational database to a library system.
How to Improve Your Communication Skills
Great, we've identified that communication can help with promotions now how can an individual go about improving it?
DR Analytics Recruitment:
I'm Douglas - former data analyst and Founder of DR Analytics Recruitment. We grow people and businesses with an exclusive focus on recruitment of data & analytics professionals. Companies use us because of our industry expertise, specialisation and technical testing.
Get in touch to learn more!
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