From Economics to Data Analyst — 1:1 Roadmap عربي
Hakam Abushanab
Popular
From Economics to Data Analyst — 1:1 Roadmap عربي
€40
€46
60 mins
Who this is for
Economics / business graduates or professionals pivoting to
Data Analyst
roles.
Anyone who needs a
clear, practical roadmap
: Excel → SQL → Power BI → SAP fundamentals.
Candidates who want
ATS-friendly CV/LinkedIn
, portfolio ideas, and interview confidence.
What we’ll do in 60 minutes
Profile audit (0–10 min)
Review your CV/LinkedIn + a target job post to map gaps quickly.
Skills mapping (10–25 min)
Prioritize what to learn first (Excel, SQL joins/window functions, Power BI visuals, basic stats).
Tools plan (25–40 min)
Excel
: cleaning, lookups, pivots.
SQL
: SELECT/JOIN/CTE; practice sets.
Power BI
: model → DAX → storytelling dashboards.
SAP (SD/MM/FI basics)
: where numbers really come from.
• Example: Sales orders table
VBAK
, date column
ERDAT
to filter “last month”.
• Verify in SAP with transaction
SE16N
before exporting to your data lake/Power BI.
Portfolio & projects (40–50 min)
Choose
2–3 projects
aligned to roles (sales dashboard, SQL business questions, finance KPIs).
CV/LinkedIn & next steps (50–60 min)
Fix headline, keywords, and a weekly study/interview plan.
You’ll receive (after the call)
Personalized roadmap (PDF)
with weekly milestones (skills, projects, resources).
3 project briefs
ready to build (incl. sales dashboard w/ DAX, SQL challenge, SAP→BI mapping using
VBAK.ERDAT
).
ATS-friendly CV template
+
LinkedIn headline examples
+ keyword checklist.
Interview pack
: 20 common DA questions (SQL/BI/Business sense) + answer structures (STAR).
Languages
العربية | English | Italiano
(choose one or mix during the session).
Prep before the call
Share your CV + LinkedIn +
1–2 job posts
you want to target.
Tell me your preferred language and time zone.
Optional add-ons
Power BI dashboard review (30 min)
Mock interview (45 min)
CV/LinkedIn deep rewrite (doc review)
Why book this session with me
Economics + MBA background → transitioned into
Data Analytics
in global companies (e.g., Siemens).
Built a practical path from
zero code
to
SQL/Power BI/SAP
with real business use-cases.
Multilingual guidance for EU and MENA markets.
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