senior business data analyst

şimdi başvur

iş ilanı detay

beşiktaş, ıstanbul (avrupa)
IT & Telekomünikasyon
referans numarası

iş tanımı

We are looking for a ''Senior Business Data Analyst'' for our client operating in fmcg industry.

Lead data driven marketing efforts for digital platforms by supporting regional and local teams with data collection, processing, and visualization expertise
Support brand teams in the definition of campaign measurement techniques including relevant KPIs and budget allocation requirements to help them best achieve their campaign objectives
Support digital activation manager on analyze key site metrics such as website traffic, conversion rate, average order value, and units per transaction. Break these metrics into defined funnel steps to develop focused targets.
Support brand teams in cataloguing key learnings informed by data driven insights from the campaign measurement process
Execute on compiling campaign results and create post campaign analysis documentation summarizing overall performance of campaign incl. creative, audience, and platform performance
Support design of reports and segmentation using different visualization tools such as:
PowerBI, Salesforce Datorama, Data Studio
Be seen as a local expert in digital data helping to advise and support teams to develop their digital measurement knowledge with particular focus on the optionality and use of the spectrum of media KPIs


M.S. or bachelor’s degree in (MIS, Statistics, Economics, Mathematics, Engineering, Computer Science, or other quantitative fields)
4+ years of experience in data analytics with 2+ years digital marketing or web or digital
products analytics experience required
Our working language is in English and proficiency in both spoken and written is a must
Master of data collection and data visualization tools, programming in SQL or Phyton
You have a proven capability in e-commerce, website, marketing or digital analytics role
Experience working with Google Analytics platform
Practical understanding of statistical analysis techniques to business problems and driving results; linear and logistic regression
Ability to extract, interpret and present insights from unstructured and structured data
Experience using business intelligence and data visualization platforms (Preferably PowerBI)
Strong background on Excel
Knowledge of relational database concepts, data modelling, profiling and ETL processes
Strong verbal and written communication skills, and ability to synthesize technical information for a business audience
Knowledge on statistical data modeling algorithms, pattern recognition or data mining techniques is a plus
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