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§ 01

THE FLOOR

Skills you can't skip. Below this floor your resume doesn't get opened.

3MUST-HAVE SKILLS
Skills · ranked by prevalence
01SQL62.5%The query layer. Non-negotiable.
02Python43.8%Pandas plus light scripting.
03Power BI40.6%The default tool. India.
On the bubble
Floor skills derived from validated data analytics & bi postings on the astrid.postingmeta collection at JUNIOR + ENTRY seniority.
§ 02

PICK YOUR TRACK

Sub-tracks within this profile. Picking one is non-optional.

01

POWER BI

← INDIA DEFAULT
FA share41.7%of FA postings · n = 100
Salary₹17± ₹7LPA · mean ± SD
Company mix
MNCs & GCCs~77%
Hires at
Societe GeneraleCGIAccentureHappiest Minds TechnologiesMyCareernet
Add to the floor
Data ModelingTableauDAXPower QueryReport GenerationSQL Server
02

DB ANALYST

← PIVOT TO DE
FA share29.2%of FA postings · n = 70
Salary₹12± ₹6LPA · mean ± SD
Company mix
MNCs & GCCs~59%
Established SME~14%
Indian IT Services~8%
Hires at
GE HealthCareNewton SchoolScout Inc.Societe GeneraleTestHiring
Add to the floor
Exploratory Data AnalysisProblem SolvingDashboardingAPIsAlgorithmsTroubleshooting
03

OTHER BI PLATFORMS

← TOO SMALL FOR FA
FA share16.7%of FA postings · n = 40
Salary₹16± ₹5LPA · mean ± SD
Company mix
MNCs & GCCs~57%
Indian IT Services~16%
Established SME~14%
Hires at
TuringInfosys
Add to the floor
JavaScriptBusiness IntelligenceTroubleshootingAlgorithmsExploratory Data AnalysisData Privacy
Small fresher sample, treat as directional only.
04

CLOUD ANALYTICS

← TOO SMALL FOR FA
FA share12.5%of FA postings · n = 30
Salary₹8± ₹0LPA · mean ± SD
Company mix
Hires at
YASH TechnologiesBOLD
Add to the floor
RSnowflakeJavaScriptData MiningSASAirflow
Small fresher sample, treat as directional only.
Track shares and salary statistics (mean ± SD) derived from validated data analytics & bi postings on the astrid.postingmeta collection at JUNIOR + ENTRY seniority.
§ 03

THE SKILL ARC

What ramps with seniority. What travels if you leave the profile.

A

Senior skew — what ramps with seniority.

Rising · FA → SR
01Data Visualization
FA9.4%
SR47.6%
+38.2 pp
02Agile
FA6.2%
SR27.6%
+21.4 pp
03ETL
FA9.4%
SR29.5%
+20.1 pp
04Query Optimization
FA3.1%
SR22.9%
+19.7 pp
05Dashboarding
FA15.6%
SR35.2%
+19.6 pp
06Data Modeling
FA28.1%
SR45.7%
+17.6 pp
07SQL Server
FA18.8%
SR36.2%
+17.4 pp
08Database Performance Tuning
FA3.1%
SR20.0%
+16.9 pp
09Power BI
FA40.6%
SR57.1%
+16.5 pp
Fading · FA → SR
01Python
FA43.8%
SR27.6%
-16.1 pp
02JavaScript
FA21.9%
SR6.7%
-15.2 pp
03Troubleshooting
FA21.9%
SR6.7%
-15.2 pp
04Business Intelligence
FA25.0%
SR12.4%
-12.6 pp
05Algorithms
FA12.5%
SR3.8%
-8.7 pp
B

Portability — what travels if you leave the profile.

Portable · cross-profile spread (out of 15)
01Problem Solving
15/15
Mobile Development41%Enterprise Platforms40%Fullstack Development40%
02Agile
15/15
Fullstack Development47%Enterprise Platforms43%Generalist SWE40%
03Troubleshooting
13/15
Enterprise Platforms36%DevOps & Platform32%Generalist SWE21%
04SQL
12/15
Data Engineering57%Fullstack Development45%Backend Development36%
05SDLC
12/15
Generalist SWE38%Enterprise Platforms22%Domain-Specific Development19%
06Python
11/15
Data Science & ML78%AI & LLM Applications66%Data Engineering57%
07Azure DevOps
6/15
DevOps & Platform26%Fullstack Development17%QA & Testing16%
Locked · stays inside the profile
01Power BI1/15
02Data Modeling2/15
03Data Visualization1/15
04Report Generation1/15
05Dashboarding1/15
06Exploratory Data Analysis1/15
07Tableau1/15
08Data Warehousing2/15
09SQL Server2/15
10DAX1/15
11ETL2/15
12Query Optimization2/15
13Data Transformation2/15
14Data Interpretation1/15
15Azure Data Factory1/15
Skill arc derived from validated data analytics & bi postings on the astrid.postingmeta collection. FA = ENTRY + JUNIOR seniority; cross-profile spread computed at the 10% prevalence threshold across all 15 profiles.
§ 04

TARGETING YOUR COMPANY POOL

Hiring volume splits across two distinct company pools with different skill profiles.

MAANG & Tier-1 Tech

n = 50borderline
CompaniesGoogleMetaAmazonMicrosoftAtlassian
Skill skew · MAANG & Tier-1 Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
60.0%
Java
0.0%
+60.0 pp
60.0%
Distributed Systems
0.0%
+60.0 pp
60.0%
Mobile App Development
0.0%
+60.0 pp
60.0%
UI Design
0.0%
+60.0 pp
80.0%
Python
21.4%
+58.6 pp
40.0%
Distributed System Design
0.0%
+40.0 pp
40.0%
C/C++
0.0%
+40.0 pp
60.0%
System Design
21.4%
+38.6 pp
40.0%
Business Intelligence
3.6%
+36.4 pp

IT Services & BPO

n = 280usable
CompaniesTCSInfosysWiproHCLCognizant
Skill skew · MAANG & Tier-1 Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
0.0%
Problem Solving
42.9%
-42.9 pp
0.0%
Agile
35.7%
-35.7 pp
20.0%
SQL
50.0%
-30.0 pp
0.0%
Azure Data Factory
25.0%
-25.0 pp
0.0%
Azure Synapse
25.0%
-25.0 pp
0.0%
R
21.4%
-21.4 pp
0.0%
Requirements Analysis
21.4%
-21.4 pp
0.0%
Debugging
17.9%
-17.9 pp
0.0%
Data Modeling
17.9%
-17.9 pp
Company-pool skills derived from validated data analytics & bi postings on the astrid.postingmeta collection, scoped to the MAANG + Tier-1 Global and IT Services & BPO company classes.