Senior Data Analyst – Revenue Intelligence
kpler is searching for a skilled Senior Data Analyst to join the Engineering team in London. This role sits within Revenue Intelligence and requires translating complex, raw data into clear, actionable business insights that directly impact revenue performance. You will be responsible for developing robust analytical models, performing deep-dive analyses on usage patterns, market trends, and client behavior, primarily using SQL and advanced statistical tools. Key duties include building comprehensive dashboards in BI tools, automating reporting processes, and collaborating with product managers to identify areas of untapped potential. The ideal candidate must have exceptional quantitative skills, a methodical approach to problem-solving, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Data Analyst – Revenue Intelligence?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Data Analyst – Revenue Intelligence?
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 kpler 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 – Revenue Intelligence 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, Revenue Intelligence, SQL, Python/R, Business Analytics.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.