INVESTMENT & ALTERNATIVE DATA

Alternative Data for Investment Professionals

From structured job data.

Track company growth, workforce shifts, skills, and expansion through structured job posting data.

28+
Exp in job data
5B+
Job records processed
100+
Countries covered
50+
Enterprise clients
INVESTMENT USE CASES

Three Ways Investment Teams Use Job Data

Job posting data does not produce a single signal. Different research workflows extract different value from the same underlying hiring activity.

Pre-Earnings Research

Correlate hiring surges or freezes with future revenue direction and investor disclosures, before results are announced.

→Engineering up before a product launch
→Sales hiring flat before a revenue miss
→Finance roles spiking ahead of an IPO or M&A

Sector and Macro Analysis

Map hiring density across industries and time to detect sector-wide momentum shifts before they appear in quarterly reports.

→Which sectors are accelerating or contracting
→Skills adoption trends across an industry
→Geographic expansion patterns at scale

Portfolio Monitoring

Track labour signals across holdings and targets to flag ramp-up, churn, or strategic repositioning as it happens.

→Hiring velocity change by company
→Function-level workforce shifts
→New capability or market signals emerging
PORTFOLIO MONITORING VIEW

See What Hiring Activity Is Signaling

Hiring activity provides another view into how companies are changing, where they are investing, and what capabilities they are building.

Acme Cloud

Enterprise SaaS
+38%
Accelerating ↑

Engineering and sales expanding

Meridian Health

Healthcare
+24%
Accelerating ↑

Clinical and data hiring rising

Vantage Capital

Fin. Services
+3%
Stable →

Hiring remains broadly unchanged

Orion Logistics

Industrials
-18%
Decelerating ↓

Engineering roles slowing. Watch for confirmation across ops and supply chain.

Apex Semiconductor

Technology
+51%
Accelerating ↑

R&D and chip design surging.

Nova Retail

Consumer
-44%
Contracting ↓↓

Decline across all functions. Restructuring or demand contraction. Investigate.

DATA QUALITY LAYER

A signal is only as good as the data it is built on.

Propellum structures and standardises job data to give investment teams a consistent foundation for building reliable signals.

01

Canonical Job Records

Deduplicate the same opening across employer sites and job boards so each role is counted once.

02

Normalised Role Taxonomy

Standardise title variations into comparable role categories for consistent analysis.

03

Company-Level Identity

Connect every posting to the employer behind it, creating a consistent company-level view of hiring.

04

Time-Series Intelligence

Track first-seen, last-seen, hiring velocity, and changes over time.

05

Skills & Attribute Normalisation

Standardise skills, seniority, location, and other job attributes so signals remain comparable across companies and markets.

06

Historical Preservation

Access historical job data for long-term trend analysis and company-level comparisons.

SIGNAL EXAMPLES

What a hiring signal looks like in practice.

Job posting data has functioned as a leading indicator across both positive and negative market events. These are two published examples.

↑Positive signal
Company

Circle Internet Group

Signal

Job postings +45% across engineering and compliance over 6 months.

What it indicated

Active pre-IPO buildout. Capital allocation confirmed in hiring data months before public announcement.

Outcome

IPO filed June 2025. Stock +86%.

↓Negative signal
Signal type

Sustained hiring contraction

Signal

Job postings down 66% YoY. More than 50% below the prior peak within the same year.

What it indicated

Sharp internal contraction across engineering and operations.

Outcome

Significant negative market event. Signal visible weeks to months before market reaction.

Hiring signals add another layer of insight and should be considered alongside other investment research.

DATASET SPECIFICATION

Research-Ready Job Market Data

Historical depth
1998 to present, 28 years of career-page-sourced job data
Total records
5B+ job records, deduplicated and enriched
Geographic coverage
100+ countries, employer career pages, not job board aggregation
Source
Employer career pages, primary source, ahead of all aggregators
Update frequency
Continuous, new postings available within hours of going live
Point-in-time data
Available, prevents look-ahead bias in backtesting
Title normalisation
Consistent taxonomy across all employers and markets
Skills extraction
NLP-extracted, 40,000+ term taxonomy
Salary data
Stated where posted, AI-estimated via 4-signal model where not
Deduplication
Applied before delivery
Delivery
S3, Parquet, JSON, API, data warehouse, configured per workflow
BUILT FOR

Built for investment teams that work with alternative data.

Quantitative and systematic funds

Direct model input for alpha generation. Hiring velocity, function shifts, and skills signals integrated into factor models or event-driven strategies.

Fundamental long/short managers

Supporting research on portfolio companies and targets. Track hiring direction before earnings calls and management commentary confirm it.

Private equity and growth equity

Due diligence signal. Monitor target company hiring patterns, skills investment, and geographic expansion over time before and during evaluation.

Venture capital

Early-stage signal. Track hiring acceleration or deceleration in portfolio companies and potential investments as an operational health indicator.

Macro and thematic research

Sector-level and economy-level hiring intelligence across 100+ countries. Map labour market shifts before they appear in official employment data.

Alternative data platforms and aggregators

Embed career-page-sourced, point-in-time job data into your platform, earlier than job board feeds, globally sourced, enrichment applied before delivery.

Common Questions

Investment & Alternative Data, frequently asked questions

FREE DATA SAMPLE

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