Observed Signal · Sep 7, 2022 · Industry Study · Source: OnlineMarketing.de · Impact: 2/5 · Sentiment: Neutral
LinkedIn's Top 20 Skills for Employees
LinkedIn conducted an analysis to identify the skills currently most relevant for job seekers. The study, referencing LinkedIn's Future of Skills feature launched earlier this year, finds that the Top 20 skills named in international LinkedIn job postings have shifted and now appear in about 80% of postings over the last three months. Customer Service is ranked first, followed by Sales, Accounting, Business Development, and Marketing. The list continues with Leadership, Communication, Digital Marketing, Sales Management, Problem Solving, Management, Finance, Social Media, Social Media Marketing, Time Management, Financial Analysis, Engineering, Strategy, SQL. The findings suggest that developing many of these competencies can improve hiring prospects, and LinkedIn recommends users reflect these skills in their profiles with concrete examples. Monica Lewis, Senior Director of Product at LinkedIn, underscores the importance of continuously sharpening skills for career progression.
Provides insights into ongoing job-skill relevance without signaling a major industry shift.
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Key Takeaways & Evidence Grounding
- LinkedIn analyzed top 20 skills named in about 80% of international LinkedIn job postings in the last three months.
- Top skill: Customer Service; #2 Sales; #3 Accounting; #4 Business Development; #5 Marketing.
- Other top-20 skills include Digital Marketing (#8), Social Media (#13), Time Management (#15), and SQL (#20).
- LinkedIn's Future of Skills feature was launched earlier in the year to help identify relevant skills for jobs.
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Related Market Signals & Shifts
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Céline Flores Willers urges B2B marketers to think like B2C
At DMEXCO 2026, Céline Flores Willers, founder of The People Branding Company, argued that B2B marketing often appears outdated due to fear of innovation (FOMU). She demonstrated creative tactics like using a robot sidekick 'Robi' and branded T-shirts to boost attention and branding. She highlighted LinkedIn as the central platform for B2B, citing a SAP Taulia case where employee-generated content, boosted via Thought Leader Ads, achieved 2.3x higher engagement and 70% higher click-through rates with a small budget. Willers also cited examples like Legora's campaign with Jude Law and Merz Lifecare's 25-post merger documentation as successful 'building in public' strategies. She concluded by urging B2B marketers to be more creative and learn from B2C approaches.
LinkedIn says don't treat leads as finish in B2B
At LinkedIn's B2Believe event in its new Empire State Building space, executives and practitioners called for a shift from lead-centric B2B marketing to a 'full journey' approach that links signals, targeting, creative, full journey, and measurement. Jae Oh, senior director of product management, revealed that fewer than 10% of upper-funnel audiences make it into bottom-funnel campaigns, urging marketers to connect awareness with demand capture. Research from LinkedIn's B2B Institute with eMarketer showed 77% of marketers say they no longer target individuals, yet only 31% have a playbook for activating audiences down the funnel. Practitioners from Canva, SAP, Mastercard, and others shared examples of aligning marketing and sales on common signals. LinkedIn also outlined a product roadmap focused on cost-per-opportunity targeting, multi-format campaigns, agentic workflows, and incrementality forecasting.
Nadella's AI Pivot: Can He Reinvent Microsoft Again?
This article examines CEO Satya Nadella's efforts to transform Microsoft for the AI era. Despite a near $4 trillion market cap and early investment in OpenAI, Microsoft trails rivals like Nvidia, Anthropic, and Meta in key AI segments. The company is shifting from subscription-based pricing to consumption-based billing (UBB) for its AI products, starting with Copilot Cowork. GitHub Copilot has seen growth to 50 million users, but Microsoft lost its exclusive cloud relationship with OpenAI. Nadella promotes building a 'frontier ecosystem' rather than a single frontier model, integrating various AI models into Copilot. Challenges include sluggish Copilot adoption, competition from AI-native startups, and uncertainty among enterprise customers about usage-based costs.
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