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Which tech roles are paying top dollar in 2024? Uncover the top 10 highest-paying tech roles this year, in our latest blog: #techjobs #techsalaries #highpayingjobs #Australiatechjobs

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This article from CJ Gustafson, caught my attention: Net dollar retention rates (NDR) are facing a brutal decline. When I read this on Mostly Metrics, I knew I had to dive deeper into what's happening in the SaaS landscape. 📉 The Nasty Declines: The data doesn’t lie—top tech players are feeling the heat. Check out these declines over the past 24 months: Snowflake: -23% Zoominfo: -20% Digital Ocean: -17% Elastic: -13% DataDog: -10% MongoDB: -10%. Across a broader set of 32 companies, the average NDR drop is 7%, with a median of 5%. What’s Driving This? 🚀 → Hiring Declines: Tech’s biggest buyers are tightening their belts. Fewer hires mean less need for licenses. CFOs aren’t keen on bulk deals with uncertain headcounts. → Optimization Pushes: Companies are scrutinizing every dollar. They’re cutting back on non-essential expenses and optimizing their existing tech stack. → Buyer’s Remorse: Remember those multi-year contracts signed during the tech boom? Buyers are now questioning those commitments as they hit the tail end of these deals. Future NDR will reveal if companies are doubling down or scaling back. Usage-Based Models: Double-Edged Sword ⚔️ Usage-based billing, once a cheat code for growth, is now a liability in tough times. It’s easier to scale back usage than to break a subscription contract. Companies are "optimizing" their spend, impacting vendors' NDR. Efficiency Metrics 📊 Efficiency remains key. Here’s a snapshot: → CAC Payback: Median is 23 months → Rule of 40: 48% → Revenue per Employee: $398K Revenue multiples are trending slightly down week-over-week: → EV / NTM Revenue: 12.5x (-0.4x w/w) → CAC Payback: 23 months (flat w/w) → Rule of 40: 48% (-6% w/w) → Revenue per Employee: $398K (+$19K w/w) Perspectives: 👉🏽 Risk Adjusted Trade-offs: Long-term contracts are becoming less attractive. Short-term agility is valued over long-term discounts. 👉🏽 Value Metric Linked Contracts: Contracts tied to revenue growth metrics are seeing adjustments as top-line growth stalls. The Road Ahead 🛣️ We’re in for a wild ride. The second half of 2024 will be crucial in understanding how these trends evolve. Companies must stay agile, optimize smartly, and prepare for a potential reckoning in NDR figures. TL;DR Multiples are slightly down, with notable efficiency benchmarks to watch. Keep an eye on hiring trends, optimization pushes, and buyer’s remorse for the next big moves in SaaS Stay tuned, and let’s navigate these choppy waters together!

Straight-to-the-face career advice... Parlay the skills you have now (Sales, DevOps, Engineering, Product Management) and see how you can add value to a company in the #dataandanalytics space. My biased and anecdotal list of the types of companies I am referring to... In no order and unsponsored. (Who in their right mind would pay me?) Alation BigQuery (Google) dbt Snowflake Monte Carlo Databricks Hakkoda Intricity *Fivetran Coalesce.io Datalogz Census UntitledFirm Data.world Even if you don't agree with my off the cuff list.... YES, I know - I missed a lot of great companies! I'm not a researcher, this is one point of view from an individual contributor that should be cold calling prospects instead of posting on LinkedIn. The point is, these companies play a part in the growing data and analytics space and most of them and their competitors will be hiring in 2024 and will grow even faster in 2025. 🚀 (Governance, SI's, data prepping, Cults... err #clouddatawarehouse . ) Assuming Microsoft and irrelevant-to-business-posts-about-people's kids don't implode LinkedIN, we can dredge up this post in 2 years to see how wrong I am. Have a great 2024 !! 🤛 -Adam *My employer

I'm pleased to share the results of a recent poll I conducted on #FinOps and #CloudFinancialManagement practices, following my acceptance as an IT Community Ambassador on #GartnerPeerCommunity! The graph shows the results from the past four quarters, with most participants rating their maturity level as "Explorer." This trend has remained consistent across various geographies, roles, and industries. From my observation, when you look at the cloud from different angles, whether it’s security, governance and compliance, or sourcing and procurement, it becomes evident that the cloud is rapidly evolving into a platform that not only addresses technical needs but also holds significant business relevance and fosters deeper connections. This transformation requires companies to rethink and evolve their operating, management and decisional models shifting towards a platform-centric approach. A platform-driven approach encourages real-time and autonomous interactions that overcome traditional company functions and roles: fostering multi consumer-producer relationships, breaking down silos, and promoting cross-functional collaboration, while maintaining governance by embedding guardrails and "golden paths." This is especially evident in #FinOps practices, which aim to integrate various stakeholders around financial management. There’s a lot of work—and fun—ahead! I’d be interested to hear your expert insights and opinions in the comments below. A big thank you to Rosie Pokorchak and all the community managers at #GartnerPeerCommunity for such an insightful and enriching experience! #CloudComputing #DigitalTransformation #ITManagement #Platformization #CloudOperations #BusinessStrategy #CloudAdoption #ManagementInnovation

Hello, LinkedIn Community, 🚀 Exploratory Data Analysis (EDA): world_Layoff_schema :🚀 I’m excited to share the results of my recent Exploratory Data Analysis (EDA) on company layoffs using the layoff_stagging2 table. 🔍 Key Insights: 1.General Data Retrieval: All Records: Retrieved a complete Table for a holistic view. 2. Specific Data Queries: 1. Total Layoffs Ranking: Ordered companies with 100% layoffs by the total number of layoffs. 2. 1% Layoffs by Funds Raised: Ranked companies with 1% layoffs by the amount of funds raised. 🏬 Layoffs Analysis by Company: 1. Highest Layoffs: Amazon: 18,150 layoffs Google: 12,000 layoffs Meta: 11,000 layoffs Salesforce: 10,090 layoffs Microsoft: 10,000 layoffs 2. Least Layoffs: Branch: 3 layoffs Flytedesk: 4 layoffs Spyce: 4 layoffs TutorMundi: 4 layoffs Avantage Entertainment: 5 layoffs 🥤 Layoffs Analysis by Industry: 1.Most Affected Industries: Consumer: 45,182 layoffs Retail: 43,613 layoffs Other: 36,209 layoffs Transportation: 33,548 layoffs Finance: 28,344 layoffs 2. Least Affected Industries: Manufacturing: 20 layoffs Fin-Tech: 215 layoffs Aerospace: 661 layoffs Energy: 802 layoffs Legal: 836 layoffs 🌍 Layoffs Analysis by Country: 1.Most Affected Countries by Layoffs: United States: 256,420 layoffs India: 35,793 layoffs Netherlands: 17,220 layoffs Sweden: 11,264 layoffs Brazil: 10,391 layoffs 2. Least Affected Countries by Layoffs : Poland: 25 layoffs Chile: 30 layoffs New Zealand: 45 layoffs Luxembourg: 45 layoffs Thailand: 55 layoffs 🔦 Additional Insights: 1. Layoffs by Stage: Post-IPO: 204,073 layoffs, the highest. Unknown Stage: 40,716 layoffs. Acquired Stage: 27,496 layoffs. 2. Monthly Extraction: Extracted and analyzed monthly data from the date field. 3. Top Companies by Yearly Totals: 1. 2022 Peak: Layoffs reached 160,322, a sharp increase from 80,998 in 2020 and 15,823 in 2021. 2. 2023 Decline: Layoffs dropped to 125,677, showing some improvement from 2022. 3. Pandemic Effect: The COVID-19 pandemic significantly impacted layoffs in 2020 and 2021. 4. Extracted the top 5 company layoff rankings for each year. ✨ Suggestions: 🔹 Employee Support Programs: Develop reskilling and upskilling initiatives to help affected employees transition to new roles. 🔹 Economic Factors Analysis: Study economic factors like market conditions and technological changes to create proactive strategies to minimize layoffs. 🔹 Regular Monitoring: Set up a system to regularly monitor layoff data for early detection and timely intervention. 💡 These insights help us understand the broader economic and industry-specific impacts of layoffs, providing valuable information for stakeholders and policymakers. 🙌 A special thanks to Alex Freberg for this wonderful project! 🙌 This project gave me a good understanding of the EDA concepts. #DataAnalytics #SQL #Mysql #DataAnalysis #Database #Datascience #Layoffs #ExploratoryDataAnalysis #WorldLayoffData

If you could gain any specific #advice about any part of the hiring process from someone who has spent a decade recruiting within the hashtag #tech industry then what would that be? Please comment below 👇👇 The chosen comments will be part of the wider project 😎 hashtag #questionandanswer #careeradvice #personaldevelopment #career #product #design #software #data #cloud #perituspartners

Needless to say, yet poor data quality seems to be an entrepreneurial risk that many fast growing companies are willing to take 🤷♂️ . What they need is people who work 𝑶𝑵 the company and not only 𝑰𝑵 the company. These hires might not show direct value today, but probably are the most valuable in the long term to build a scalable, sustainable and resilient business for the future. Let´s vouch for such roles! Excited to learn about some opinions & best practices on the tradeoff between growth speed and scaling an efficient operational backbone. Luckily many analysts like to say: "Ah we can do that manually" 😉

Who's hiring in data and info services? There is a ton of great talent looking right now across sales, marketing, product, data science, ops. Post any companies, roles, or recruiters in the comments and I'll include in next week's newsletter (read weekly by thousands). Be sure to subscribe for a weekly inbox delivery here: https://lnkd.in/eBTwjnv5 Since last post we’ve seen 5 acquisitions, 8 fundraising rounds, 16 people moves & promotions, 2 articles, 10 roles, 1 newly added upcoming event, and an updated market map. Clarivate acquired Rowan Patents, part of Clarivate (patent solutions). Dow Jones acquired A2i Systems (retail fuel, EV, and c-store pricing analytics). Fintel acquired RSMR (fund ratings and research). KKR acquired Janney Montgomery Scott LLC (financial services). Informa acquired Ascential (events) for £1.2B. Allium (blockchain data platform) raised $16.5M in a Series A led by Theory Ventures. Cypris (AI research for R&D) raised $5.3M in a round led by Vocap Partners. FDMUK (telecom insights) received an investment from Inflexion. Elly Analytics💛 (marketing analytics platform) raised $1M in a Seed round led by Altair Capital and PTV Ventures. GeoWealth (turnkey asset management platform) raised $18M in a growth round led by BlackRock Powder (AI for wealth management) raised $5M in a Seed round. Quantum Commodity Intelligence (commodity data and PRA) raised £12.5M in a growth round from Elephant. Strive (financial services) raised $30M in a Series B led by Cantor Fitzgerald, Deason Capital Services, and Narya Capital. Tim Baker joined the Board of Directors of Nuvolos. Adam Bhatti was promoted to Senior Associate at Concertiv. Dean Bryen joined LSEG as Head of Cloud Engineering Michelle Cameron joined Morningstar Sustainalytics as Commercial Executive. Harper Cullen joined Above Data as Head of Data Sales. Thomas Elliott joined Intangia as Head of Product. Javier Flores joined SS&C Technologies as Director, Solutions Management Genesis Data Platform. Alden French joined Grata as Relationship Management Lead. Jon Keegan joined Sherwood News as Tech Reporter. Matthew Leaney joined GLG as Global Head of Commercial Operations Patrick Lynch joined AKAnomics as Director, Account Management. Akhil Parekh joined Nielsen as Chief Solutions Officer, Digital. Sydney Sloan joined G2 as Chief Marketing Officer. William Spencer joined MarketAxess as Head of Client Solutions, Product Management. Luis Vinke, MBA joined YipitData as GTM Leader. Mirko von Schroeder joined UBS as Head of Portfolio Tooling, Reporting & Data Analysis #data #careers #peoplemoves