CS
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Data Analysts (Business & Risk) at Kreditbee (India)
Kreditbee is hiring for multiple data analyst profiles.
Must-have skills: - Advanced SQL - Advanced Excel - 1 to 2 years of experience in fintech - Knowledge of risk and business - Basic Python
How to apply: DM your resume to Punith Raj on LinkedIn (Data Analyst at Kreditbee).
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Remote Data Analyst (Contract) - $31-$60/hr, via Jobs Pulse
Review business datasets to help train AI systems.
You will: - Check datasets for accuracy, completeness and relevance - Review documents following strict data privacy and PII rules - Flag anomalies and data quality issues - Give feedback to improve AI training data
Good fit: experienced data analysts with data review, auditing, data quality or privacy compliance experience.
Remote | Contract Apply: https://lnkd.in/d-8mTsZD
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Data Scientist at Meridian Credit Union (Canada)
Join a growing data science team turning data into decisions that matter. You'll work on real-world problems with a supportive team and room to grow your impact.
Location: Etobicoke, ON (Hybrid) Apply: https://lnkd.in/gEHdJXqy
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Data Analyst at Middlesbrough FC (UK)
A decision-science role "close to the pitch", helping coaches and other decision-makers at the club. It's the second of two new data roles, alongside a Data Engineer.
Requires right to work in the UK. Closing date: 23 October 2026 (very soon)
Apply: https://lnkd.in/gYWxWbbT Role review on Between the Lines: https://lnkd.in/guXy9FmV
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3 senior data roles at ABB E-mobility (Italy)
ABB E-mobility is building a new central data team to strengthen data foundations across the company. Open roles: - Staff Data Engineer: https://lnkd.in/ejTbGCuY - Staff Analytics Engineer: https://lnkd.in/eDMNUGT5 - Senior Data Product Manager, Data Foundations: https://lnkd.in/eBQsrXHc
A small team of senior people who co-lead together. Best fit if you drive change through influence rather than authority.
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Learning Data Analyst at EIDU
Use learner and teacher data, statistical analysis and experiments to improve educational outcomes at scale.
Location: Kenya, Nigeria, Germany or India (other locations negotiable) Type: Full-time, permanent
You will: - Analyse learner engagement, programme coverage and learning outcomes - Design and evaluate experiments - Run funnel, cohort and programme-fidelity analyses
What they want: - Strong SQL and Python - Experience with large, event-level datasets - Experimental design, power analysis and causal inference - Ability to explain findings to non-technical teams
Apply: https://lnkd.in/dmKjzq8T
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Multiple roles at the UN Office of Information and Communications Technology (OICT)
Several positions closing soon - apply before the closing date: - Programme Management Assistant (G-6): https://lnkd.in/gaDG8_3X - Database Administrator, Oracle Server Operations (Consultant): https://lnkd.in/gjQZwX78 - Administrative Assistant (G-5): https://lnkd.in/g9jDDaSn - Information Systems Officer (P-3): https://lnkd.in/e7am4DEx - Mobile Developer (Consultant): https://lnkd.in/e2cCJRTM - Information Systems Officer (P-4): https://lnkd.in/gR7sBcGp - Intern, Business Relationship Management (I-1): https://lnkd.in/gUqttDFr
All positions: https://lnkd.in/efQ7qbyA
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Senior Analytics Engineer at Digital Green
Turn millions of farmer interactions into insights that shape how FarmerChat grows. Senior IC role working with product, research, MEL and country teams across India, Kenya, Ethiopia and Nigeria.
You will: - Build and maintain automated pipelines, transformations and dashboards on BigQuery - Track user acquisition, engagement and retention - Run a recurring insights cycle for leadership, donors and country teams
What they want: - 5+ years in data engineering and analytics on digital platforms - Strong SQL, Python and BigQuery - ELT pipelines, dbt or similar, high-volume event data
Location on the poster: Bangalore, India (full time) Apply: https://lnkd.in/g5ahCj4d
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Data & Insights Specialist at World Data Lab (Nairobi)
Lead the Africa Youth Employment Outlook, the annual report produced with the Mastercard Foundation and DPRU at the University of Cape Town. You'll own the report from outline to publication, write policy briefs and op-eds, pitch findings to journalists and present to Mastercard Foundation leadership.
What they want: - 5+ years in a role where writing was the main output (think tank, research institution, multilateral, development agency or publication) - Knowledge of African labour markets
Location: Nairobi, Kenya (preferred); Kigali or Dakar Full requirements and how to apply: https://lnkd.in/ed2gZbmw
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Data Scientist at Child Health Research Foundation (CHRF)
Work with real-world health data on infectious diseases, antimicrobial resistance, vaccines and child health.
What they want: - Master's in Statistics, Maths, Computer Science, Data Science, Bioinformatics or related - Python, R, Stata or similar - Strong statistical and quantitative research skills - Preferred: 2+ years experience, SQL, clinical/public health datasets
How to apply: send your CV (max 2 pages) and cover letter to hr@chrfbd.org Deadline: 24 October 2026 Details: https://lnkd.in/gsNSkFyJ
Ian Amukowa@ian-amukowa
Hi team,
I'm stuck on the exercise "What the borrower is charged" in the Credit Risk Prediction project. My query runs successfully in the local SQL workspace and returns the correct 10 rows with the expected columns, but every submission attempt (17 so far) fails with a column-not-found error.
What I've tried: 1. Using "id" (lowercase, unquoted) as loan_ref → grader says: column "id" does not exist 2. Using "ID" (quoted, exact case) as loan_ref → grader says: column "ID" does not exist 3. Using "tbl_loan_id" as loan_ref → grader says: column "tbl_loan_id" does not exist
I confirmed both ID and tbl_loan_id are real columns in the credit_loans table by running: SELECT column_name FROM information_schema.columns WHERE table_name = 'credit_loans';
Both columns appear in that list, and the CREATE TABLE statement in the Schema panel confirms them too. The query runs and returns correct results locally every time, only the grading/submission step rejects it, with a different "column does not exist" message depending on which real column I use as loan_ref.
Could you check if the grading server for this specific exercise is out of sync with the actual table schema? Happy to share screenshots of the local success and the submission error if helpful.
Thanks, Ian Amukowa Mboya
Patrick Omondi reposted
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