business analyst

account manager

financial analyst

senior business analyst

solutions consultant

analytics consultant

SnA Consulting

<div>
 
 
 About the job
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 We&rsquo;re looking for recent graduates to join our analytics consulting team. Ideal candidates will be familiar (or completed coursework) in the following:
 
 
 
 
 <ul>
 <li>
 Mid-level statistics (including multivariable methods),
 </li>
 <li>
 Database management systems (including relational data modeling)
 </li>
 <li>
 Open source data science software (Python or R)
 </li>
 </ul>
 
 
 
 
 At SnA, you will be trained as an Associate Analytics Consultants. Our associates are responsible for analyzing large and complex datasets, applying various quantitative methods to interpret information and generating insights that lead to business recommendations. They also work on training, validation and implementation of predictive statistical models.
 
 
 
 
 
 This position requires a combination of technical skills and research, communication, presentation skills.
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Finance, Marketing, Economics, Industrial Engineering, Computer Science from a reputable institution,
 </li>
 <li>
 General understanding of applied statistical concepts,
 </li>
 <li>
 Curiosity for knowledge in open source tools is a must,
 </li>
 <li>
 Being comfortable using SQL for data analysis and reporting purposes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Associate Data Analytics Consultant - New Graduate (Entry Level)

Experian

<div>We are looking for Data Scientist Consultants to join our Experian Turkey Team!
We are looking for that you have a background in machine learning and data mining. A track record in project partnership and partner management is important. You will be a team player who is eager to both teach and learn daily and who is proactive. You will report to Analytics Consultant Lead.<ul><li>
Your will contribute to a consultative way with Experian clients to identify problems and provide analytical solutions.</li><li>
Design solutions for the whole customer lifecycle and for regulatory parameter estimation and validation projects based on Experian Decision Analytics best practice solutions and present these to clients.</li><li>
Suggest market solutions in the analytics and regulatory area and produce proposals.</li><li>
Demonstrate good project management skills and act as a project leader for delivering analytical projects,</li><li>
Develop working relationships with managers and executives within client organizations to contribute to client's business and achieve project goals.</li><li>
Seek out opportunities that help grow the business.</li><li>
Help win new business from our customers &ndash; nurture and enhance existing client relationships; identify and progress opportunities to enhance existing solutions and cross sell other products and services.</li><li>
Identify opportunities to deliver analytical projects to clients and conduct feasibility studies to support sales activities.</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. 
 
<div>Experience and Skills</div> 
<ul><li>Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, and Operational Research from top universities. Degree in Data Science.</li><li>
3+ years of experience preferably in analytics and consultancy related areas. Experience managing and delivering high quality data analytics.</li><li>
Eager to propose solutions, able to establish solutions matched to requirements.</li><li>
Good knowledge and experienced in products and operations especially in Banking and Telecommunications sectors (i.e. Credit risk management, Customer management experience, Data management, Basel Accord, IFRS9, Collections)</li><li>
Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python and preferably in some of R, Scala, C/C++ or similar). Experience with several learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting.</li><li>
Fluency in written and spoken English</li></ul>
Benefits:<ul><li>
Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.</li><li>
Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.</li><li>
Social benefit package including food vouchers, private health insurance, monthly flex allowance and internet coverage, Employee assistance program and many other benefits!</li><li>
Opportunity for Flexible working hours and Home Office.</li></ul>
Experian is an Equal opportunity employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid 
 
<div>Additional Information 
</div> 
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together 
Experian Careers - Creating a better tomorrow together</div>

Data Scientist Consultant

<div>
 
 Description
 
 
 
 
 As a Consultant in this role, you will work as a member of several project teams supporting clients on a wide variety of engagements covering topics such as pricing / reserving for P&amp;C products, behavioural analytics, price optimization, implementation of machine learning algorithms for various topics including pricing, underwriting, claims &amp; reserving.
 
 
 
 
 Our clients demand leading edge products and expertise, and as a consultant with our firm, you can expect to gain tremendous exposure to all facets of insurance operations. This position comes with significant upwards potential for a successful and motivated candidate.
 
 
 
 
 The Role
 
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Contribute and/or lead varied and interesting projects such as pricing for P&amp;C risk, price optimization, competitive market analysis, claims analytics and reserving.
 </li>
 <li>
 Develop a strong understanding of the P&amp;C pricing / reserving process, become familiar with the various steps needed to prepare data for modelling and be able to manipulate large datasets
 </li>
 <li>
 Work collaboratively with other associates/consultants or clients to determine data needs, examine obtained client information and perform any follow up work required to populate complete data sets
 </li>
 <li>
 Seek and participate in key learning and development opportunities/maintain steady progress through actuarial exams will be a plus
 </li>
 <li>
 Prepare the first draft of models for review by senior pricing experts / reserving experts on the client team(s)
 </li>
 <li>
 Build strong relationships internally and collaborate effectively on cross-functional teams
 </li>
 <li>
 Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels
 </li>
 <li>
 Deliver on projects to meet or exceed client expectations and within deadline
 </li>
 <li>
 Increase efficiency within client teams by identifying ways to improve processes
 </li>
 <li>
 Contribute to sales and marketing efforts by drafting proposals and responding to RFPs
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 The Requirements:
 
 
 
 <ul>
 <li>
 At least 3-5 years of relevant experience in a consulting firm, financial services organization or insurance firm
 </li>
 <li>
 Academic qualification in the area of actuarial science, financial risk, mathematics, statistics, engineering or other related discipline
 </li>
 <li>
 Experience in pricing, reserving or analytics are useful
 </li>
 <li>
 Related experience including developing and projecting actuarial models using actuarial software
 </li>
 <li>
 A problem solver; able to identify and solve challenging problems
 </li>
 <li>
 Analytical; able to draw conclusions from data in a logical, systematic way
 </li>
 <li>
 Conceptual; ability to go beyond the details and see the big picture
 </li>
 <li>
 Results-driven; focused on achieving results that promote business success
 </li>
 <li>
 Fluency in Turkish &amp; English, written and spoken
 </li>
 <li>
 Committed to quality; continuously works to achieve the highest quality standards
 </li>
 <li>
 Ability to work both independently and on client teams and enjoy a fast-paced environment
 </li>
 <li>
 Excellent Microsoft Office skills, particularly in Excel/VBA,
 </li>
 <li>
 Open-source coding skills will be a plus
 </li>
 <li>
 Ability to explain complex concepts to non-technical audience
 </li>
 <li>
 Availability to travel on an as needed basis
 
 
 </li>
 </ul>
 Equal Opportunity Employer
</div>

Actuarial Consultant

<div>
 
 
 About Us
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 This position requires a combination of
 
 technical skills and research, communication, and presentation skills.
 
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a technical program (e.g., Engineering, Computer Science, MIS) from a reputable university
 </li>
 <li>
 Up to 3 years of relevant experience in data engineering, analytics, or AI-related projects
 </li>
 <li>
 Strong knowledge of
 
 Python
 
 for data engineering, AI/ML development, and
 
 SQL
 
 </li>
 <li>
 Familiarity with
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, feature engineering, model evaluation)
 </li>
 <li>
 Basic understanding of
 
 AI/ML pipelines
 
 , including data preparation, training, inference, and monitoring
 </li>
 <li>
 Assertive, fast learner, highly organized, and curious about emerging
 
 AI and data technologies
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Knowledge of modern, cloud-based
 
 data and AI pipeline best practices
 
 </li>
 <li>
 Experience with
 
 large-scale data warehousing
 
 , data lake/lakehouse architectures, and data modeling
 </li>
 <li>
 Exposure to
 
 ML frameworks and libraries
 
 (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 such as experiment tracking, model versioning, and CI/CD for ML
 </li>
 <li>
 Experience with orchestration frameworks such as
 
 Apache Airflow
 
 or
 
 Argo Workflow
 
 </li>
 <li>
 Experience with one or more cloud environments (
 
 AWS / Azure / GCP
 
 ), including managed AI services
 </li>
 <li>
 Experience with
 
 LLM or Generative AI concepts
 
 (prompt engineering, embeddings, vector databases, RAG architectures)
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work closely with clients and internal consultants on
 
 data, analytics, and AI projects
 
 </li>
 <li>
 Design and build
 
 scalable data and AI pipelines
 
 across Cloud and On-Prem environments
 </li>
 <li>
 Support the development and deployment of
 
 AI/ML models
 
 by ensuring high-quality, well-governed data inputs
 </li>
 <li>
 Assist in the implementation of
 
 MLOps practices
 
 , including model deployment, monitoring, and performance tracking
 </li>
 <li>
 Research emerging
 
 AI, Generative AI, and data engineering technologies
 
 to continuously improve existing platforms and solutions
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Data & AI Engineering Consultant

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 
 
 
 
 
 
 About the Role
 
 
 
 As an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.
 </li>
 <li>
 Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).
 </li>
 <li>
 Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.
 </li>
 <li>
 Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a "single source of truth." Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.
 </li>
 <li>
 Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.
 </li>
 <li>
 Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.
 </li>
 <li>
 3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.
 </li>
 <li>
 Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.
 </li>
 <li>
 Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).
 </li>
 <li>
 Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.
 </li>
 <li>
 Experience applying software engineering best practices to data, including version control (Git) and CI/CD.
 </li>
 <li>
 Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.
 </li>
 <li>
 An agile mindset for data product development.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Analytics Engineer

Concentrix

<div><div><div>Information Technology
</div><div><div><div>Location</div>
<div>İstanbul, T&uuml;rkiye
</div></div><div><div>Language</div>
<div>English
</div></div></div><div></div><div><div>
</div><h2 class="jobSectionHeader">Summary</h2><div>
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world&rsquo;s best brands, today and into the future. We&rsquo;re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we&rsquo;re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Catalyst team is the driving force behind Concentrix&rsquo;s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we&rsquo;re proud to be recognized with awards such as &quot;World's Best Workplaces,&quot; &ldquo;Best Companies for Career Growth,&rdquo; and &ldquo;Best Company Culture,&rdquo; year after year. Join us and be part of this journey towards greater opportunities and brighter futures.</div><h2 class="jobSectionHeader">
Description</h2><div>
We&rsquo;re seeking a senior Cloud Solution Architect (CSA) with deep expertise in SQL, Azure SQL and Power BI. In this customer-facing role, you&rsquo;ll lead strategic technical engagements, advise IT and business leaders, and shape cloud strategies that drive innovation and business value. You&rsquo;ll guide customers through architecture design, deployment, and operational excellence&mdash;helping them scale AI solutions and modernize their data ecosystems on Microsoft Azure.</div>
Responsibilities:<ul><li>
Build trusted relationships with IT and business leaders to shape their cloud data strategy, emphasizing SQL-based analytics and reporting.</li><li>
Lead architectural design sessions to implement secure, scalable data solutions using Azure SQL Database, Azure Synapse, and Power BI.</li><li>
Design and deploy end-to-end data architectures that integrate structured and unstructured data sources using Azure SQL and Microsoft Fabric.</li><li>
Develop enterprise-grade dashboards and reports in Power BI, enabling data-driven decision-making across business units.</li><li>
Implement data governance frameworks with Azure Purview, ensuring proper cataloging, lineage, and classification of SQL-based assets.</li><li>
Guide customers in optimizing SQL workloads and integrating Power BI with Azure SQL for real-time analytics and visualization.</li><li>
Lead technical workshops and proof-of-concepts focused on SQL performance tuning, Power BI modeling, and Azure data services.</li><li>
Provide strategic guidance on data modernization, including migration from legacy SQL systems to Azure SQL and Synapse.</li><li>
Resolve technical blockers related to SQL query optimization, Power BI integration, and Azure resource configuration.</li><li>
Inspire innovation by helping customers leverage SQL and Power BI to unlock insights and accelerate their cloud transformation.</li></ul>
 Qualifications:<ul><li>
10+ years of experience in data engineering, analytics, or cloud solution delivery with a strong SQL foundation.</li><li>
Deep expertise in Azure SQL Database, Power BI, and Azure Synapse Analytics.</li><li>
Proficient in writing complex SQL queries, optimizing performance, and designing relational data models.</li><li>
Demonstrated success in building scalable Power BI solutions integrated with Azure SQL and other cloud data sources.</li><li>
Experience with ELT/ETL pipelines, data lake architecture, and real-time analytics using SQL-based tools.</li><li>
Familiarity with Azure Purview, Microsoft Fabric, and Databricks is a plus.</li><li>
Excellent communication and stakeholder engagement skills across technical and business audiences.</li><li>
Microsoft Certified: Azure Data Engineer Associate or equivalent certifications preferred.</li><li>
Fluent in English and Turkish.</li></ul></div></div></div>

SQL/Azure SQL Solutions, Cloud Solution Architect

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you have the following
 
 qualifications.
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in industrial engineering, computer engineering, MIS or other quantitative disciplines (Master&rsquo;s degree is a plus)
 </li>
 <li>
 +3 years of experience in data analytics, transformation, change execution, strategy or other relevant roles that require analytical capabilities
 </li>
 <li>
 Critical mindset to question the status-quo, curiosity to explore improvement areas, creativity and structured thinking ability to formulate insights into concrete action items
 </li>
 <li>
 Result-driven approach with a can-do mentality
 </li>
 <li>
 Skills in clearly communicating complex concepts &amp; ideas, and persuading relevant stakeholders at various levels of the organization
 </li>
 <li>
 Affinity and interest in tools and technologies for data analytics, business intelligence and data management (e.g. SQL, SAS, Cognos) is preferred
 </li>
 <li>
 Experience in Agile way of working is preferred
 </li>
 <li>
 Fluency in verbal and written English and Turkish
 </li>
 </ul>
 
 
 
 
 If you think you may take charge of the following
 
 responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Run, coordinate, monitor and facilitate the implementation of strategically important transformation initiatives in data analytics domain
 </li>
 <li>
 Act as an internal consultant in the realm of data analytics with the objective of identifying and formulating improvement opportunities
 </li>
 <li>
 Oversee project roadmap of Data Management Group through running periodic progress update sessions, quarterly business review (QBR) cycles, data strategy formulation process, and budget planning activities in coordination with local and global stakeholders
 </li>
 <li>
 Support enhancement of data fluency capabilities across organization through delivering pilot use-cases, training programs, publications, and other informative contents
 </li>
 <li>
 Continuously monitor and synthesize emerging trends, perspectives and best practices in the field of data analytics, and spread the valuable insights across the organization
 </li>
 <li>
 Lead events and activities of ING Turkey's Data and Analytics Community by liaising with internal (local and global) and external stakeholders
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Product Analytics Expert (Temporary Role)

Explore 180+ Analytics consultant in Istanbul this January. Find roles across top companies and apply now to boost your career.