Customer Intelligence Expert

AgeSA Hayat ve Emeklilik; Fatih; Hybrid; TRY 450,000 - 650,000; Full time

Benefits offered by this job

Hybrid Work Model

Flexible Benefits

Casual Dress Code

Company-Contributed Retirement Plan

Employee Social Clubs

Job summary

AgeSA Hayat ve Emeklilik is seeking a customer analytics professional to actively participate in analytics across AgeSA, Aksigorta and Medisa.

The role requires 7+ years in data analytics, with strong SQL and Python skills, experience in segmentation, and ability to translate insights into business actions. Hybrid work and LMS benefits are offered.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer/Industrial Engineering or related field.
• Minimum 7 years in data analytics, CRM, or customer analytics in financial services sectors.
• Hands-on experience in segmentation, clustering, profiling and customer behavior analysis.
• Ability to translate analytical findings into actionable business recommendations.

Responsibilities

• Design segmentation studies to understand customers by behavior, needs, value and characteristics.
• Profile and monitor customer segments and update with changing behavior.
• Translate Marketing questions into analytical problems and provide data-driven answers.
• Develop predictive, classification, segmentation and clustering models when needed.

Skills

Statistics

Data Analytics

CRM

Customer Analytics

SQL

Python

SPSS

Data Visualization

Communication

Stakeholder Management

Education

Bachelor's/Master's in Statistics/Math/CS

Tools

SQL

SPSS

Power BI

Tableau

Job description

We are looking for a team member who will take an active role in the customer analytics processes of our companies, AgeSA, Aksigorta, and Medisa.

Qualifications;

• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Engineering, Industrial Engineering, or a related field,
• At least 7 years of experience in data analytics, CRM, customer analytics, or a similar field, preferably within insurance, banking, fintech, or financial services,
• Hands-on experience in customer segmentation, clustering, profiling, and customer behavior analysis,
• Strong ability to derive meaningful conclusions from data, connect analytical findings to business needs, and translate them into actionable recommendations,
• Strong SQL skills for extracting, integrating, transforming, and analyzing data from enterprise data warehouses,
• Experience in data processing and analysis with Python, with the ability to use libraries such as Pandas, NumPy, and Scikit-learn effectively,
• Experience with at least one analytical tool such as SPSS or SPSS Modeler,
• Knowledge of statistical analysis, data mining, predictive analytics, and modeling techniques,
• Experience working with large datasets from multiple sources, with strong attention to data quality, consistency, and accuracy,
• Ability to communicate analytical findings clearly and effectively to both technical and non-technical stakeholders,
• Strong communication and collaboration skills, with the ability to work effectively across teams,
• Ability to manage multiple projects, prioritize effectively, and deliver results on time,
• A curious and questioning mindset, with an analytical and customer-focused approach to business problems,
• Experience with Power BI, Tableau, or similar data visualization tools is preferred.

Main Responsibilities;

• Designing and implementing segmentation studies to better understand customers based on their behaviors, needs, value, and differentiating characteristics,
• Creating and profiling customer segments, monitoring them regularly, and updating them in line with changing customer behaviors,
• Translating questions from Marketing and other business functions into analytical problems and producing clear, measurable, data-driven answers,
• Conducting analyses of customer behavior, product usage, channel preferences, and customer lifecycle,
• Defining customer KPIs used across the company, establishing calculation methodologies, and monitoring them regularly,
• Integrating multiple data sources to enrich the customer view and making relevant outputs available to business teams,
• Conducting exploratory data analysis and translating findings into meaningful insights and actionable business recommendations,
• Working closely with Marketing, CRM, Customer Experience, Product, Sales, and Strategy teams to support data-driven decision-making,
• Developing predictive, classification, segmentation, and clustering models when needed; evaluating their results and supporting their use in business processes,
• Defining success criteria for analyses and models together with relevant business teams, and regularly monitoring outcomes and business impact,
• Monitoring data quality and consistency and working with relevant teams to resolve identified issues,
• Documenting datasets, analytical methods, and calculation approaches while maintaining reproducible working standards,
• Communicating analytical outputs to technical and non-technical stakeholders through presentations, reports, and data visualizations,
• Contributing to the Customer Intelligence team’s analytical approach and roadmap and supporting knowledge sharing within the team.

What Awaits You at Agesa, Aksigorta & Medisa?

• Hybrid Work Model
• Flexible Benefits: We can freely exchange our defined benefits for other benefits of our choice and use them as we wish.
• Dress Code: We value comfortable working and do not enforce strict dress codes throughout the year! For example, in the summer, we work in shorts at the office to be less affected by the heat and to work more comfortably.
• Company-Contributed Retirement Plan: We support you in investing in your future with the contributions provided by the company, proportional to your savings.
• Clubs: We regularly train with our sports clubs in different disciplines and participate in inter-company tournaments throughout the year, achieving success! With our social clubs, we meet each month for enjoyable activities ranging from gourmet events and art workshops to concerts and theater, allowing us to socialize together.

Our flexible work models, up-to-date digital applications, accessible and friendly work environment, and our closely-knit, dedicated family all ensure that you will feel right at home with us.