Mapping your career in data and analytics

The importance of data and analytics (D&A) careers has surged in recent years. Businesses are recognizing the value of insights informed by evidence, and the various skills required to discover them.

These include data collection, analysis, interpretation, and the strategic application of data to drive business decisions. Moreover, the ongoing AI revolution obliges firms to utilize data effectively for advanced use cases leveraging predictive analytics and generative AI.

With data becoming a valuable resource, Chief Data and Analytics Officers (CDAOs) are under pressure to address the challenges and opportunities presented by increasing data stores. This has already been recognized by leading research firms like Gartner, who’ve classified the various functions surrounding data and analytics.

Observing the varied and complex nature of data-oriented roles, Gartner concluded that poor data literacy, lack of a data-driven culture and talent shortages are prevalent inhibitors to the success of D&A.

This presents a great opportunity for tech professionals, managers and business leaders who possess the skills and experience to help firms succeed in this area.

Mapping the data landscape

Gartner's research identified three broad categories within the D&A field, each playing a distinctive role in how organizations can make the most of their data stores.

While data is often seen as a STEM field, it’s important to note the presence of non-technical roles, where executives and managerial professionals are needed to oversee processes related to D&A. Recognizing the value of these positions can prompt those with relevant experience to enter the field.

However, businesses still need to leverage technical skills to derive insight from their data. STEM skills remain important here, as they’re key to developing confidence with data technologies, programming languages, maths and general problem solving.

Now we’ll explore these categories and give examples of the roles involved.

Supporting roles: the bridge between technical expertise and the business

While non-technical, these roles still offer strategic value to businesses. In particular, they’re essential for success in D&A projects and effective communication of data-driven insights to ensure organizations succeed. Examples include:

1.?????? Chief Data and Analytics Officer (CDAO): As an executive with primary accountability for value creation through D&A assets, the CDAO oversees the entire data ecosystem. They’re responsible for developing a viable data strategy that serves their organization’s goals and objectives, and will lead data teams to ensure it’s executed successfully.

2.?????? D&A Project Manager: The D&A project manager is the linchpin for the success of all projects in the D&A portfolio. They plan, execute, and deliver projects within set parameters, serving as the primary point of contact for D&A initiatives.

3.?????? Business Analyst: Covering a spectrum of roles, business analysts typically use statistical methods to analyse data. They’ll also play a pivotal role in translating technical findings into actionable insights through data storytelling, where insights are made accessible to the wider business.

Data roles: building the foundation for analytics success

Data roles are primarily concerned with the technical aspects of D&A, focusing on data collection, organization, quality assurance, and compliance with standards and regulations. A well-established data infrastructure is essential for supporting analytics efforts and deriving meaningful insights from the information available. Examples in this category include:

1.?????? Data Engineers: Pivotal in building, managing, and operationalizing data pipelines, the data engineer is key to supporting important D&A use cases. The ability to collaborate effectively across business and IT units is essential for success in this discipline.

2.?????? MDM Manager: MDM managers are responsible for ensuring that all data is standardized. They must ensure that MDM programs are planned and acted upon, which means they’ll work closely with IT to consolidate data architecture, modeling, integration and quality.

3.?????? Data Modeler: Data modelers create user-approved data schemas, develop business data glossaries, and work with D&A architects to achieve an enterprise-wide consensus on data meaning. Their work supports data quality, privacy, security, lineage, integration, and governance.

Analytics roles: deliver value with data

Analytics expertise is essential to develop data applications. These roles focus on understanding patterns, making predictions, and providing actionable insights to guide decision-making. Analytics professionals often work closely with stakeholders to understand the requirements of the business when developing technologies relying on data. Prominent examples include:

1.?????? AI/ML Developer: AI/ML developers enrich applications with machine learning capabilities, or other AI functions including natural language processing or image recognition. They’re adept at collecting and preparing data for model training and execution.

2.?????? Analytics and Business Intelligence Developer: ABI developers maintain strong relationships with business partners, and develop reports, dashboards, and visualizations to support business decisions.

3.?????? Data Scientist: Acting as comprehensive D&A specialists, data scientists model complex business problems, leveraging quantitative disciplines and visualization techniques. They contribute to building the organization's data infrastructure and support decision-making processes with insights and analysis.

How career advisory can boost your D&A prospects

The increasing emphasis on data competency presents numerous opportunities for tech professionals. However, the diverse skill sets required, and the myriad applications of data necessitate guidance for individuals seeking to advance their careers in this dynamic field.

Tech Entry provides tailored career advisory solutions for individuals looking to capitalize on the growing demand for D&A-related skills. We’re dedicated to the continued success of our clients, regardless of whether you’re aiming for an entry level position or senior promotion.

We achieve this through three core programs that align with various career stages:

·?????? Tech Entry: Break into tech with advice to help you develop professionally and win your first role.

·?????? Tech Accelerator: Earn a senior promotion with guidance through the entire performance cycle to your desired role.

·?????? Tech Role Targeting: Successfully transition into your new tech position with our bespoke career advice.

To learn more about how Tech Entry can help you navigate the evolving landscape of data and analytics, book a discovery call here.