Digital Insurance Member - Data Analytics

Allianz; Fatih; Hybrid; TRY 350,000 - 620,000; Full time

Benefits offered by this job

Yearly bonus

Home expense payment

Transportation

Life insurance

Employer sponsored pension & Family健康

Special Allowances (Marriage, newborn)

Meal Allowance (Cash/monthly)

Flexible working hours

Hybrid working

40 hours a week

Job summary

Allianz Türkiye'de veri analitiği ve raporlama alanında görev alacak deneyimli bir Data Analytics uzmanı arıyoruz. Pozisyon, veri toplama, iş zekası ve çoklu platform entegrasyonlarında yetkinlik gerektirir.

Power BI ile dashboard geliştirme ve bakımını yapacak, offline veri yönetimini yönetecek ve GTM/GA4 ölçüm mimarisini tasarlayacak bir ekip arkadaşı arıyoruz. İyi derecede İngilizce bilgisi beklenir.

Qualifications

• 4-6 years of experience in data analytics and reporting.
• Proficiency in English.
• Advanced SQL skills for extracting and transforming data from large datasets.
• Experience in data modelling and dashboard development with Power BI.
• Strong knowledge of online-offline attribution modelling and data matching.

Responsibilities

• Own offline data management, write SQL queries, and extract datasets for analysis and reporting.
• Maintain and develop Power BI dashboards end-to-end.
• Manage online-offline attribution models and validate outputs.
• Design measurement architecture for platforms collecting online behavioural data and ensure data quality.
• Plan measurement solutions on GTM, GA4, Contentsquare, and Insider, defining event and data layer standards.
• Document measurement and reporting standards and guide stakeholders on these standards.

Skills

SQL

Power BI

Python

Data Analytics

Attribution Modelling

GA4 GTM Data Layer

Contentsquare Insider

AI/Data Strategy

Data Modelling

English Proficiency

Tools

Power BI

SQL

GTM

GA4

Contentsquare

Insider

Python

Job description

What do we expect you to bring?

• 4-6 years of experience in data analytics and reporting,
• Proficient in English,
• Advanced SQL skills, with the ability to extract and transform data from large data sets,
• Experienced in data modelling and dashboard development with Power BI,
• Strong command of attribution modelling approaches and online-offline data matching logic,
• Experienced in measurement implementation and data layer design on GTM and GA4 (preferred),
• Experienced in solution planning on digital experience and marketing platforms such as Contentsquare and Insider (preferred),
• Able to automate data preparation and quality control processes with tools such as Python (preferred),
• Having knowledge in Artificial Intelligence (AI) development, Data Analytics, Data Intelligence, AI/Data Strategy, and ChatGPT.

How can you make an impact?

• Own the management of offline data, write the required SQL queries and extract the data sets needed for analysis and reporting,
• Maintain existing Power BI dashboards and build new dashboards end to end,
• Manage online-offline attribution models, build new models when needed and validate model outputs,
• Design the measurement architecture of the platforms where online behavioral data is collected and own data quality end to end,
• Plan measurement solutions on platforms such as GTM, GA4, Contentsquare and Insider, and define event and data layer standards,
• Document measurement and reporting standards and guide stakeholders within the squad on these standards.

What we will offer you?

Company:

• Working in Green certificated & pet friendly Allianz Tower / Allianz Kampüs with modern work spaces, gym & social areas.
• Working in agile, flexible, digital and social culture
• Flexible working hours
• Working 40 hours a week
• Hybrid working
• Flex summer (August)
• Part time working

Benefits:

• Yearly bonus
• Home expense payment
• Transportation
• Life insurance
• Employer sponsored pension & Family included health insurance
• Special Allowances (Marriage, newborn etc.)
• Meal Allowance (Cash/monthly)

Leave Rights:

• School Report Day (Half Day) & First Day of school (Half Day)
• Birthday day off
• Paternity Leave - 30 days
• Marriage Leave - 5 days
• After 4 years of work, having extra one day annual leave each year (up to 26 days)

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer.

We are united by a shared commitment: to put our cutomers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future for our customers and the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and integrity, fairness, inclusion and trust are at the heart of our culture.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

And there is much more!

Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the “Digital Insurance Member - Data Analytics” position.

While you await news from us, we would like to share a playlist with you to help you enjoy your time.

https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584

“This is Allianz, life is quite different here!”

#TutkuylaYürüyenlerinYolu #LetsCareForTomorrow #AllianzTürkiye

Kişisel verilerinizin KVKK kapsamında işlenmesine ilişkin açıklama metnine aşağıdaki bağlantıdan ulaşabilirsiniz.

https://www.allianz.com.tr/tr_TR/faydali-bilgiler-ve-linkler/is-basvurulari-kapsaminda-iletilen-kisisel-verilerin-islenmesi-hakkinda-aydinlatma.html