Color bar tick values: [100, 1000, 1900, 2800, 3700, 4600, 5500, 6400, 7300, 8200]Exploratory Data Analytics
Here we explored trends in the job market using visualizations to uncover patterns in industries, roles, and geographic demand. The goal is to understand the distribution of analytics vs. non-analytics jobs across different sectors and regions.
Tech & Services dominates With roughly 7,620 analytics roles versus 15,550 non-analytics roles, this sector is by far the biggest home for Data Analyst jobs—both in absolute counts and total listings. Info Tech is the most analytics-centric In “Info Tech,” the split is nearly 50/50 (1,970 analytics vs. 1,855 non-analytics), suggesting analytics is core to many IT functions, not just a niche add-on. Finance & Unclassified Industries are a close 2–3 Finance shows about 4,246 analytics positions against 5,860 non-analytics, while “Unclassified Industry” is similarly high (4,148 vs. 5,256). Both fields clearly lean heavily on analytics but still carry large non-analytics wings. Education skews analytics With 1,385 analytics vs. just 516 non-analytics listings, Education is punching above its weight—the majority of roles posted there specifically call out analytics skills. Low-analytics sectors Retail, Healthcare, Manufacturing, Public Administration and most “hands-on” industries (Construction, Hospitality, Mining) show tiny pink bars. Data roles are a small slice of the total.
Overview: This stacked bar chart shows the top 10 specialized skills required for jobs, split into Analytics Jobs (red) and Non-Analytics Jobs (teal), with the number of jobs on the x-axis (0 to 25k) and skills on the y-axis. Key Findings: SQL (Programming Language): Leads with over 25k total jobs, with the majority (around 75%) being Analytics Jobs. This highlights SQL’s critical role in data querying and management for analytics roles. Data Analysis: Ranks second with around 22k Analytics Jobs, showing its core relevance to analytics positions, with minimal non-analytics demand. SAP Applications and Business Process: Each have around 15k jobs, but with a more balanced split (50% analytics, 50% non-analytics), indicating their use in both operational and analytical roles. Python (Programming Language): Around 12k jobs, mostly analytics (80%), reflecting Python’s popularity for data science and machine learning tasks. Dashboard and Business Intelligence: Each around 10k jobs, predominantly analytics (90%), showing the importance of visualization tools in analytics roles. Finance, Project Management, and Business Requirements: Each around 10k jobs, with a 60-40 split (analytics vs. non-analytics), suggesting these skills are valued in both domains. Implications: Analytics jobs heavily demand technical skills like SQL, Python, and Data Analysis, aligning with industry trends where data-driven decision-making is key. Skills like SAP Applications and Business Process bridge analytics and non-analytics roles, offering graduates versatility in career paths. For students, prioritizing SQL, Python, and dashboard skills can maximize opportunities in analytics roles, especially in Tech and Finance sectors.
Overview: This scatter plot compares average years of experience (x-axis, 0 to 14 years) to salary (y-axis, $0 to $500k), with Analytics Jobs in red and Non-Analytics Jobs in teal. Key Findings: The plot is empty, indicating no data points were plotted for either Analytics or Non-Analytics Jobs. This suggests a potential issue with the dataset—either missing salary/experience data or a filtering error during visualization. Implications: Without data, we can’t analyze the relationship between experience and salary. However, based on industry trends, we’d expect Analytics Jobs to show higher salaries with increased experience due to their specialized nature (e.g., data scientists at firms like Citadel earn $1M+ with 10+ years, as discussed earlier). This highlights a need for better data collection or preprocessing to ensure critical variables like salary and experience are captured for meaningful analysis. For graduates, this underscores the importance of verifying data quality in analytics projects to avoid misleading conclusions.
Overview: This choropleth map shows the geographic distribution of Analytics Job postings across U.S. states in 2025, with a color gradient from light (100 jobs) to dark red (7,300 jobs). Key Findings: Highest Demand: Texas leads with 8,050 jobs, followed by California (around 7,000 jobs), New York, and Illinois (each around 4,000–5,000 jobs). Lowest Demand: Wyoming has the fewest jobs at 103, with other states like Montana, North Dakota, and Vermont also showing low numbers (100–200 jobs). Regional Trends: High concentrations in Texas, California, and New York align with economic hubs—Texas (Dallas, Houston), California (Silicon Valley), and New York (NYC financial district). Mid-Tier States: States like Florida, Virginia, and Georgia have 2,000–3,000 jobs, indicating growing demand in the Southeast. Implications: Texas and California are prime locations for Analytics Jobs, supporting our earlier findings about hedge funds like Citadel (Miami) and tech firms like Google (California) hiring heavily for data analysts. The concentration in economic hubs suggests graduates should target these states for better job prospects, especially in Tech and Finance sectors. Low-demand states like Wyoming indicate limited opportunities, likely due to smaller economies and less focus on data-driven industries.
Overview: This Sankey diagram illustrates the flow of jobs from Education Level (left) to Job Category (middle) to Industry (right), with flow width representing job counts. Key Findings: Education Levels: Bachelor’s Degree: Largest group, flowing into both Analytics and Non-Analytics Jobs. No Education Listed: Second largest, also split between both job categories. Master’s Degree and Ph.D./Professional Degree: Smaller flows, mostly into Analytics Jobs. Associate Degree and High School/GED: Minimal flows, mostly to Non-Analytics Jobs. Job Categories: Analytics Jobs receive significant flows from Bachelor’s, Master’s, and Ph.D. degrees, reflecting the technical nature of these roles. Non-Analytics Jobs have broader contributions from No Education Listed and Associate/High School degrees. Industries: Tech. Services: Receives the largest flow from Analytics Jobs, especially from Bachelor’s and Master’s degrees. Unclassified Industry: Second largest, with a mix of Analytics and Non-Analytics Jobs, consistent with our earlier histogram findings. Admin & Waste Management, Finance, and Manufacturing: Significant flows from both job categories, with Finance leaning more toward Analytics Jobs. Implications: A Bachelor’s degree is the most common entry point for Analytics Jobs, particularly in Tech. Services and Finance, aligning with BlackRock’s hiring for their Full-Time Analyst Program (targeting graduates). Higher degrees (Master’s, Ph.D.) lead to Analytics Jobs in specialized industries like Tech and Finance, offering a competitive edge for roles requiring advanced skills. The large flow to Unclassified Industry suggests data quality issues, as noted earlier, but also indicates diverse opportunities across sectors. Graduates should focus on Tech and Finance industries, where education levels align with high demand for analytics skills, but also consider emerging sectors like Admin & Waste Management.