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joko

Data Analyst

Joko is looking for a meticulous and proactive Data Analyst to join our Data & Operations team in Paris. This crucial role involves transforming raw business data into clear, actionable insights that guide strategic decision-making across the organization. You will be responsible for building dashboards, executing complex SQL queries, performing statistical analysis on user behavior, and identifying key trends within our operational datasets. Key responsibilities include maintaining data integrity pipelines, developing predictive models in collaboration with data scientists, and presenting findings compellingly to non-technical stakeholders. The ideal candidate has strong proficiency in SQL and at least one scripting language like Python, coupled with excellent storytelling abilities to communicate the 'why' behind the numbers.

joko Paris, France (Remote), France

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

bereiten sich vor

2100

Fragensatz

300

Dauer

Permanent

Schwerpunkte

Data AnalysisSQLPythonBusiness Intelligence

People Also Ask (FAQs)

What is the last date to apply for Data Analyst?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Data Analyst?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the joko test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Data Analyst test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Analysis, SQL, Python, Business Intelligence.

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