Senior Data Analyst

Migros Ticaret; Ataşehir; On-site; TRY 420,000 - 540,000; Full time

Job summary

Migros Ticaret is seeking a Senior Data Analyst to join our Data Analytics & Insight Team. The team focuses on deriving actionable insights from shopping behavior and customer journey datasets of approximately 14.5 million loyal customers, influencing marketing and sales strategies.

Applicants should have a quantitative degree and at least five years in customer data analytics within retail, with strong SQL and Python skills and English proficiency. Agile knowledge is a plus.

Qualifications

• Bachelor’s or Master’s degree in a quantitative discipline such as Industrial Engineering, Business Engineering, Mathematical Engineering, Computer Engineering, Statistics, MIS, or related field.
• Min. 5 years of professional experience in customer data analytics, preferably within retail.
• Proficiency in SQL and Python and experience in retail metrics, customer behavior, segmentation and personalization analytics.
• Strong analytical thinking, problem-solving, data-driven decision making, and effectively presenting complex data outputs to business stakeholders.
• Fluent proficiency in spoken and written English.
• Agile methodology and Kanban knowledge is a plus.

Responsibilities

• Collaborate closely with business units to understand business objectives and data-related requirements, and translate them into actionable insights and data-driven solutions.
• Analyze large and complex datasets to summarize findings and extract key insights.
• Support business units through data analysis and reporting to help achieve optimal business outcomes.
• Conduct analyses on customer behavior and segmentation, campaign performance, sales performance, and CRM and personalization performance to assess their impact on customer and business outcomes.
• Apply statistical analysis and data analytics methods to identify hidden patterns and relationships in data and address business questions.
• Follow developments and trends in data science to maintain professional proficiency.

Skills

SQL

Python

Data analytics

Stakeholder communication

Retail analytics

Education

Bachelor’s or Master’s degree in a quantitative discipline

Job description

Life is just like shopping for us; an experience of exchanging happiness… Our shelves are full of rewards and successes. Successively receiving “Most Admired Retailer Company" award for 20 years, building the first loyalty program of Turkey, introducing the Turkish retail clients to self-service shopping without a cashier, leading online shopping experience by launching Migros Sanal Market are just a few of our achievements.

As Migros team, we get excited with every member of our team creating his/her own career story!

As the beginning of the modern retail industry in Turkey, our activities since 1954 are to design a good future! In summary, you provide the opportunity for Migros employees to create their own career story. We are waiting for you to be a part of our "Good Job Good Future Journey"

We at Migros;

We create happiness in everything we do.

We trust ourselves; we trust and trust the other person.

Our sensitive point is nature and humans.

We recommend well-intentioned developments.

We exceed potential and experience great success.

Good ideas, developments, we say "they are" to ideas that are said to be "no more".

What we're waiting for you?

We are seeking a Senior Data Analyst to join our Data Analytics & Insight Team.

The Data Analytics & Insight Team focuses on deriving actionable insights from shopping behavior and customer journey datasets of approximately 14.5 million “Money” loyalty card members and contributing to marketing and sales strategies.

• Bachelor’s or Master’s degree in a quantitative discipline, such as Industrial Engineering, Business Engineering, Mathematical Engineering, Computer Engineering, Statistics, Management Information Systems, or a related field.
• Min. 5 years of professional experience in customer data analytics, preferably within the retail sector.
• Proficiency in SQL and Python and experience in retail metrics, customer behavior, segmentation and personalization analytics, transactional and campaign analytics, descriptive and predictive data modeling.
• Strong skills in analytical thinking, problem-solving, data-driven decision-making, and effectively presenting complex data outputs to business stakeholders.
• Fluent proficiency in spoken and written English.
• Agile methodology and Kanban knowledge is a plus.

What you'll do?

• Collaborate closely with business units to understand business objectives and data-related requirements, and translate them into actionable insights and data-driven solutions.
• Analyze large and complex datasets to summarize findings and extract key insights.
• Support business units through data analysis and reporting to help achieve optimal business outcomes.
• Conduct analyses on customer behavior and segmentation, campaign performance, sales performance, and CRM and personalization performance to assess their impact on customer and business outcomes.
• Apply statistical analysis and data analytics methods to identify hidden patterns and relationships in data and address business questions.
• Follow developments and trends in data science to maintain professional proficiency.

How Do Our Recruitment Processes Proceed?

• Assessment
• HR Interview
• Assessment Tests
• Department Interview
• Reference Check