The 2024 State of Analytics Engineering report, sponsored by dbt Labs, is an essential read for anyone involved or interested in the field of data and analytics. This year’s edition, drawing responses from 456 data practitioners and leaders, offers a comprehensive look into the current and future state of the data profession.

State of Analytics Engineering highlights and key findings

• AI integration in data workflows: A notable 57% of respondents are either managing data for AI training or plan to do so in the next 12 months, highlighting the accelerated integration of AI into analytics engineering practices.
• Data quality and data trust: With over 57% of professionals citing poor data quality as a predominant issue—an increase from 41% in 2022—the report illustrates the critical importance of data integrity and data trust across organizations. Respondents identified “increasing data trust” as the leading focus area for data teams.
• Economic impact and investment focus: The economic landscape has led to 41% of data professionals reporting reductions in their budgets. Despite this, most teams expect to maintain (rather than grow or cut) their investments in data tooling across the board. Decentralized data architectures like data mesh ‌continue to garner investment consideration across the industry, especially at large enterprises.

• Challenges and opportunities for data teams: The report details the daily responsibilities of data practitioners, with maintaining or organizing data sets (55%) and maintaining platforms or infrastructure (26%) as top tasks.

  Only 14% of data professionals “strongly agree” that their organization sets clear goals for their team. Respondents cited non-quantitative goals as the predominant measure of their success. 72% indicated that they’re primarily evaluated against either enablement of other teams or project completion, with just a fraction primarily using progress to financial goals or service level agreement (SLA) metrics as their primary measure of success.

• Salary trends across geographies: In a trend that holds up across regions, analytics engineers can expect to earn considerably more than their data analyst counterparts. In North America, 78% of all analytics engineers earned over $100K per year, compared to 61% of all data analysts and 66% of all data engineers. However, data engineers were the most likely to earn over $200K/year.

Join experts from the analytics engineering space on April 11 for an in-depth discussion on industry benchmarks, macro trends, and strategies for building effective data organizations.

For the Media

This report is invaluable for media outlets covering technology, data science, business, and careers, offering a nuanced view into the challenges and opportunities within the data profession. It is a comprehensive resource for stories on how data practitioners navigate the complexities of data quality, AI adoption, and economic constraints.

Report URL: https://www.getdbt.com/resources/reports/state-of-analytics-engineering-2024

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week and over 4,100 dbt Cloud customers.

To learn more about dbt Labs, visit https://www.getdbt.com/ and follow us on LinkedIn.

Press Contact

For more details, interview requests, or questions, please reach out to dbtlabs@methodcommunications.com