Senior Data Analyst (Marketing Analytics)
Montu-UK is seeking a highly skilled Senior Data Analyst specializing in Marketing Analytics. This role is critical to optimizing our marketing spend and enhancing customer acquisition strategies for the Leafio platform. You will be responsible for building robust reporting dashboards, conducting deep-dive analyses on campaign performance (digital, paid, organic), and identifying key levers for growth. Key responsibilities include developing complex SQL queries against large datasets, visualizing trends using tools like Tableau/Power BI, and translating statistical findings into clear, actionable business recommendations for senior stakeholders. The ideal candidate has a strong quantitative background, proficiency in data manipulation languages, and a passion for connecting raw metrics to tangible commercial outcomes. Experience in SaaS marketing analytics is highly preferred.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Data Analyst (Marketing Analytics)?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Data Analyst (Marketing Analytics)?
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 montu-uk 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 Senior Data Analyst (Marketing Analytics) 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, Marketing Analytics, SQL, Python, A/B Testing.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.