LinkedIn Industry Performance Analysis: Algeria 2017-2025#
This notebook analyses LinkedIn Hiring Rate, Skills and Skills Penetration by Gender in Algeria.
LinkedIn Hiring Rate#
╒════╤══════════════════════════╤═══════════════╤═══════════╤═══════════╤════════════════════╤════════════════════════════╕
│ │ │ Average LHR │ Max LHR │ Min LHR │ Volatility (STD) │ Growth Trend (2017-2025) │
╞════╪══════════════════════════╪═══════════════╪═══════════╪═══════════╪════════════════════╪════════════════════════════╡
│ 0 │ Emerging Industries │ -0.204222 │ 0.61155 │ -0.504 │ 0.252748 │ -0.036875 │
├────┼──────────────────────────┼───────────────┼───────────┼───────────┼────────────────────┼────────────────────────────┤
│ 1 │ Growing Industries │ 0.229189 │ 4.93574 │ -0.80098 │ 0.849302 │ -0.30158 │
├────┼──────────────────────────┼───────────────┼───────────┼───────────┼────────────────────┼────────────────────────────┤
│ 2 │ Leading Industries │ 0.460806 │ 9.21272 │ -0.57202 │ 1.24449 │ -0.14782 │
├────┼──────────────────────────┼───────────────┼───────────┼───────────┼────────────────────┼────────────────────────────┤
│ 3 │ Transitioning Industries │ 0.123595 │ 3.2675 │ -0.73642 │ 0.546853 │ -0.16384 │
╘════╧══════════════════════════╧═══════════════╧═══════════╧═══════════╧════════════════════╧════════════════════════════╛
Skills Distribution Analysis in Algeria’s Labor Market#
This analysis shows the top skills in each industries from LinkedIn skills assumed and mentioned by its users.
Skills in the leading and growing industries#
The skills that appear across different industries are colored differently.
Exported skills data for leading and growing industries to ../../data/processed_data/Algeria_skills_top_half_industries.csv
| Industry | Accommodation and Food Services | Consumer Services | Education | Entertainment Providers | Financial Services | Government Administration | Hospitals and Health Care | Real Estate and Equipment Rental Services | Retail | Transportation, Logistics, Supply Chain and Storage |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Culinary Arts | Arabic | Search | Search | Assurance Services | Search | Medical Training | Search | Arabic | FRET |
| 1 | Catering | Search | Arabic | Arabic | Banking | Arabic | Search | Lumion | Search | Airlines |
| 2 | Lodging | French | Higher Education | Sports Coaching | Arabic | French | Medicine | Arabic | French | Maritime Industry |
| 3 | Restaurant Management | Time Efficiency | French | Medicine | Search | Teaching | Hospitals | Architecture | Commerce | Arabic |
| 4 | Opera | C (Programming Language) | Teaching | Healthcare | French | Office Automation | Healthcare | Architectural Design | Stock Management | Aviation |
| 5 | Search | MATLAB | University Teaching | French | Credit | Teaching English as a Foreign Language | Arabic | ARCHICAD | Retail | transport |
| 6 | French | Adobe Illustrator | MATLAB | Sports | Commercial Planning | Language Teaching | Clinical Research | Interior Fit-out | Store Management | Transportation |
| 7 | None | Arduino | Teaching English as a Foreign Language | Soccer | Commercial Banking | Public Administration | Family Medicine | SketchUp | Time Efficiency | Search |
| 8 | None | Python (Programming Language) | Language Teaching | Hospitals | Retail Banking | French Teaching | Healthcare Management | Autodesk Robot Structural Analysis | Commercial Planning | Maritime Operations |
| 9 | None | Nonprofit Organizations | LaTeX | Medical Training | Credit Risk Management | Higher Education | French | Urbanism | Commercial Analysis | French |
Skills in the industries in the bottom half of Avg LHR#
Exported skills data for transitioning and emerging industries to ../../data/processed_data/Algeria_skills_bottom_half_industries.csv
| Industry | Administrative and Support Services | Construction | Farming, Ranching, Forestry | Manufacturing | Oil, Gas, and Mining | Professional Services | Technology, Information and Media | Utilities | Wholesale |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Arabic | Civil Engineering | Search | Search | Petroleum | Search | Global System for Mobile Communications (GSM) | Energy | Arabic |
| 1 | Search | Autodesk Robot Structural Analysis | Agriculture | Pharmaceutics | Oil and Gas | Arabic | Arabic | Petroleum | Commercial Planning |
| 2 | French | Construction | Agronomy | Arabic | Gas | French | 3G Technology | Arabic | Search |
| 3 | Translation | Search | Farms | BPF | Onshore Oil and Gas Operations | Architectural Design | Telecommunications | Project Commissioning | French |
| 4 | Tourism | Construction Management | Agribusiness | Pharmaceutical Sales | Oilfield | Architecture | Search | Gas | Commerce |
| 5 | Amadeus Altéa Customer Management System (CMS) | Concrete | Commercial Planning | Commercial Planning | Perforation | Lumion | 2G | Oil and Gas | Commercial Analysis |
| 6 | Technical Translation | AutoCAD | Sustainable Agriculture | French | Oil and Gas Drilling | SketchUp | Internet Protocol (IP) | Power Plants | Stock Management |
| 7 | Time Efficiency | Arabic | Organic Farming | Good Manufacturing Practice (GMP) | Oil and Gas Industry | ARCHICAD | Universal Mobile Telecommunications System (UMTS) | Gas Turbines | Purchasing |
| 8 | French to English | SAP2000 | Arabic | Product Launch | Upstream Oil and Gas | Publicity | LTE | Search | Cement |
| 9 | Foreign Languages | ETABS | Irrigation | Time Efficiency | Petroleum Engineering | AutoCAD Architecture | Wireless Technologies | Project Engineering | Project Commissioning |
Skill Genome Pooled by Country (2017 - 2024)#
Relative Skill Group Penetration#
Relative Skill Group Penetration shows how strongly a skill group appears in a country’s industry compared to what would be expected based on global patterns. It helps identify whether an industry in a given country is unusually strong or weak in a specific skill area.
The metric is calculated in three steps:
National penetration For each industry–occupation pair in the country, LinkedIn identifies the top 30 characteristic skills. It then measures what share of those skills belongs to a given skill group, and averages these shares across all relevant industry–occupation pairs. This gives the national skill penetration for that industry.
Comparable global benchmark LinkedIn then estimates what the penetration would look like globally if the global industry had the same occupational structure as the national industry.
Relative penetration value Finally, national penetration is divided by the comparable global benchmark.
A value above 1 means the skill group is more prominent in the national industry than expected globally.
A value below 1 means it is less prominent.
Insights: Tech Skills vs. Disruptive Tech Skills in Algeria#
Algeria’s skill landscape reveals a significant divergence between traditional Tech Skills and Disruptive Tech Skills.
Relative Skill Group Penetration (vs. global benchmark = 1.0)#
Skill Group |
Algeria |
Egypt |
Morocco |
Tunisia |
Jordan |
|---|---|---|---|---|---|
Tech Skills |
0.88 |
0.98 |
0.89 |
0.96 |
0.86 |
Disruptive Tech Skills |
0.60 |
0.98 |
0.94 |
1.03 |
0.75 |
Algeria’s Tech Skills penetration (0.88) is below the global norm but broadly in line with regional peers such as Morocco (0.89) and Jordan (0.86). This reflects a solid but not yet globally competitive digital workforce in conventional ICT domains — software development, networking, and database management.
Algeria’s Disruptive Tech Skills penetration (0.60) is the lowest among MENA peers and below the global benchmark. This skill group covers AI, machine learning, cloud computing, big data, and related emerging technologies. A value of 0.60 means Algeria’s workforce is about 40% less concentrated in these skills than the global average.
The gap between Tech Skills and Disruptive Tech Skills (0.28 points) is the largest in the MENA comparison group. Morocco and Tunisia have closed this gap and even exceed the global benchmark in Disruptive Tech, while Egypt nearly matches it. This suggests the transition from traditional tech to emerging-tech competencies is well underway in those markets but has yet to take hold at scale in Algeria.
Skill Genome Pooled by Country and Industry (2017 - 2024)#
Relative Importance in Gender Skill Profiles#
Relative Importance measures how strongly each skill characterizes the profile of women or men within an industry. It is based on TF-IDF scores, which highlight skills that are distinctive for a group, not just common.
How it is calculated#
For each gender–industry pair, LinkedIn identifies the top 30 most characteristic skills using TF-IDF.
It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF). The score is high for words that are frequent within a single document but rare across the entire corpus, and low for words that appear frequently in many documents or rarely in the specific document.
Each of these 30 skills receives a weight equal to its TF-IDF score, normalized by the sum of TF-IDF across all 30 skills.
These weighted skills are then aggregated into broader skill groups (e.g., Tech Skills, Soft Skills, Business Skills).
How to interpret the chart#
A higher Relative Importance value means the skill group contributes more to what makes that gender’s profile distinctive in that industry.
It does not measure frequency or how many people report the skill.
Instead, it highlights which skills best differentiate female vs. male workers in that industry, based on their TF-IDF-weighted importance.
Skill flow#
Exported skill flow data to ../../data/linkedin/processed/Algeria_skill_flow_data.csv
New and Emerging Skills in Algeria’s Tech Sector (2017–2024)#
The skill rank evolution chart for the Technology, Information and Media industry reveals a clear structural shift in what employers and workers value over time.
Skills that exited the top 10 (faded out post-2019):
Telecommunications, 3G Technology, and Global System for Mobile Communications (GSM) dominated early rankings but disappeared entirely after 2019.
Java held a top-10 position through 2023 but dropped out by 2024, suggesting a partial shift toward newer web and mobile frameworks.
Skills that entered the top 10 (2022–2024):
2022 entrants: React.js, Node.js, HTML5 — signalling the consolidation of a full-stack web development ecosystem.
2024 entrants: Artificial Intelligence (AI), Generative AI, Flutter, Tailwind CSS, marking the arrival of AI and modern mobile/UI development in Algeria’s tech skill profile.
Persistent top skills:
JavaScript and React.js have held steady from 2019/2022 onward, cementing web development as a core competency in the skill market.
The 2024 appearance of Generative AI and AI in the top 10 is particularly significant, it is the first direct evidence that disruptive tech skills are beginning to register in Algeria’s workforce, even if overall Disruptive Tech penetration remains below the global benchmark (see above).