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digital marketing specialist

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big data analyst marketing data scientist

Creatives Data

<div>
 
 We are seeking an experienced senior professional to lead data collection and analysis for marketing campaigns across multiple industry sectors. In this role, you will harness
 
 AI tools and advanced statistical methods
 
 to turn large, complex datasets into actionable insights that drive marketing strategy. You will build and analyze big data pools from various sources, develop predictive models, and present data-driven narratives that inform decision-making.The ideal candidate thrives at the intersection of data and storytelling, collaborating with cross-functional teams to optimize campaigns and support business goals with evidence-based insights.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As a
 
 Marketing Data Scientist / Big Data Analyst
 
 , you will play a pivotal role in our agency by managing end-to-end data initiatives for marketing campaigns in diverse sectors. This includes developing methods to
 
 collect and aggregate large datasets from numerous digital sources
 
 , then cleaning and processing that data to uncover meaningful patterns
 
 
 &nbsp;
 
 
 You will transform raw data into clear
 
 graphs, statistical reports, and insightful visualizations
 
 that aid in decision-making Using AI-driven analytics and machine learning models, you will generate predictive insights and optimization recommendations to improve campaign performance. Your work will directly influence marketing tactics such as lead generation strategies, business planning, and branding efforts by providing deep analytical reports and forecasts. In collaboration with marketing teams, you&rsquo;ll help set targets and KPIs, ensuring that data-driven insights are integrated into strategic planning. Ultimately, you will be responsible for leveraging cutting-edge analytics to
 
 drive marketing strategies and enhance campaign effectiveness
 
 across the organization
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Develop and implement robust data collection methods to gather
 
 large-scale data
 
 from relevant industries and digital platforms. Build and maintain big data repositories combining sources like web analytics, CRM systems, social media, and more ensure data quality through cleaning and validation processes for accurate analysis.
 </li>
 <li>
 
 Data Processing &amp; Visualization:
 
 Utilize tools such as
 
 Python
 
 (pandas, NumPy) and
 
 Excel
 
 to process and analyze the collected data. Generate clear visualizations (charts, graphs) and performance reports to communicate key metrics and trends regularly prepare
 
 monthly/quarterly KPI reports
 
 using software like Excel and Power BI, translating complex datasets into easily understandable dashboards.
 </li>
 <li>
 
 Advanced Analytics &amp; AI Integration:
 
 Leverage artificial intelligence and machine learning techniques to extract deeper insights from marketing data.
 
 Build predictive models
 
 to forecast marketing performance and customer behavior, and analyze campaign data to uncover actionable insights using AI/ML techniques use predictive analytics to solve complex marketing problems and drive data-informed business decisions.
 </li>
 <li>
 
 Campaign Optimization:
 
 Apply advanced statistical analysis to evaluate campaign outcomes and identify opportunities for improvement. Develop
 
 audience segmentation models and personalization strategies
 
 to help target the right audiences at the right time provide optimization recommendations (e.g. timing, channel mix, budget allocation) based on data findings to maximize ROI on marketing campaigns.
 </li>
 <li>
 
 Reporting &amp; Insights Communication:
 
 Extract data from platforms like
 
 Google Analytics
 
 and
 
 Meta (Facebook/Instagram) Business Suite
 
 to assess campaign performance across digital channels. Prepare comprehensive analysis reports on key areas such as lead generation funnels, marketing ROI, and brand engagement, presenting findings to stakeholders in a clear narrative format.
 
 Present data-driven insights and recommendations
 
 to marketing and leadership teams, translating analytic results into concrete action items.
 </li>
 <li>
 
 Collaboration &amp; Strategy Support:
 
 Work closely with marketing, sales, and business planning teams to define campaign goals and
 
 key performance indicators (KPIs)
 
 . Partner with cross-functional teams (including product and IT) to ensure analytical findings inform strategic decisions and to implement data-driven improvements support the development of innovative marketing strategies by providing thought leadership on data and emerging trends.
 </li>
 <li>
 
 Automation &amp; Tool Development:
 
 Identify opportunities to
 
 automate data extraction, reporting, and analysis
 
 processes using AI and scripting. Develop and maintain interactive dashboards (e.g., in Tableau or Power BI) to allow stakeholders self-service access to marketing analytics. Continuously research and integrate new data tools or methodologies to enhance the analytics workflow and efficiency.
 </li>
 <li>
 
 Continuous Improvement:
 
 Stay up-to-date with the latest industry trends in marketing analytics, big data technologies, and AI applications. Monitor the effectiveness of data mining and analytics tools in use, troubleshooting any issues that arise proactively recommend and implement enhancements to data practices, ensuring our analytics approach remains cutting-edge and effective in driving marketing success.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 7+ years of relevant experience (senior level) in data science, marketing analytics, or a related field. Proven track record of leveraging data analysis to drive significant business impact and marketing ROI experience in managing large-scale data projects from inception to insight delivery.
 </li>
 <li>
 
 Digital Marketing Analytics:
 
 Hands-on experience analyzing digital marketing performance using platforms like
 
 Google Analytics
 
 (or Adobe Analytics) and social media advertising tools (Facebook/Instagram Ads Manager, Google Ads, etc.). Deep understanding of web analytics and marketing metrics to independently evaluate campaign success.
 </li>
 <li>
 
 Technical Skills:
 
 Advanced proficiency in
 
 Python
 
 for data analysis (including libraries such as pandas and NumPy) and
 
 Excel
 
 (complex formulas, pivot tables) for data manipulation. Strong ability to query and handle databases using
 
 SQL
 
 and/or to perform statistical analysis in tools, familiarity with statistical software or languages (e.g., R, SAS) is a plus.
 </li>
 <li>
 
 AI &amp; Machine Learning:
 
 Working knowledge of AI and machine learning techniques as applied to marketing data. Experience building or utilizing ML models for predictive analytics, customer segmentation, or personalization in a marketing context awareness of AI-driven marketing tools (such as optimization algorithms, chatbots, or recommendation engines) and ability to integrate these into analysis workflows.
 </li>
 <li>
 
 Big Data &amp; BI Tools:
 
 Comfortable working with
 
 large datasets
 
 (&ldquo;big data&rdquo;) from varied sources. Experience using data visualization and business intelligence tools like
 
 Power BI or Tableau
 
 to create interactive dashboards and reports for stakeholders knowledge of data warehousing concepts and ability to extract data from data warehouses or big data platforms is preferred.
 </li>
 <li>
 
 Analytical &amp; Problem-Solving Skills:
 
 Exceptional analytical thinking and problem-solving abilities, with a talent for identifying trends and insights in complex data ability to design experiments (A/B tests, multivariate testing) and apply statistical rigor to interpret results. A
 
 data-driven mindset
 
 and attention to detail in validating findings.
 </li>
 <li>
 
 Communication &amp; Storytelling:
 
 Excellent communication skills to translate data findings into compelling stories and presentations for both technical and non-technical audiences. Proven ability to
 
 communicate insights and recommendations
 
 to all levels of an organization, aiding strategic decision-making.
 </li>
 <li>
 
 Leadership &amp; Collaboration:
 
 Demonstrated ability to lead projects and possibly mentor junior analysts or data team members. A collaborative attitude to work effectively with cross-functional teams.
 
 (Leadership experience in guiding analytics initiatives or teams is a strong plus, indicating the ability to manage resources and drive a data-focused culture)
 
 </li>
 <li>
 
 Language Proficiency:
 
 Proficiency in English (written and spoken) is required. You should be comfortable reading and writing technical documentation in English and communicating findings to international stakeholders.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as
 
 Statistics, Data Science, Computer Science, Engineering, Mathematics, Economics, or Marketing
 
 a strong foundation in quantitative analysis is essential. Advanced degrees or relevant certifications in data analytics or marketing science are advantageous.
 </li>
 </ul>
 
 
 
 
 Our agency works on multi-sector projects, so we value candidates who are
 
 adaptable and curious about different industries
 
 , and who can apply data-driven marketing strategies in new domains. If you are an innovative thinker who stays on top of emerging trends and enjoys turning data into strategic insights, we encourage you to apply.
 
</div>

Big Data Analyst & Marketing Data Scientist

Sompo Sigorta

<div>
 
 Sompo Sigorta A.&Scedil;. is one of the subsidiary of Sompo Japan Insurance Inc., which operates with 77.400 employees in the world as a pioneer in the sector with its technological infrastructure, product range created by considering customer needs, and customer-centered service approach, is looking for &ldquo;Actuarial Data Scientist / Pricing Analyst&rdquo; to take part in its growing team.
 
 
 
 
 
 
 Job Description :
 
 
 
 Our pricing and tariff management team is expanding and we are hiring for multiple roles with varying levels of experience.
 
 
 
 
 
 These roles mainly include: data preparation, data analysis, modeling, model implementation, monitoring, strategic tariff management steps. Details of steps vary depending on the roles.
 
 
 
 
 
 You will join a diverse team of professionals and have the opportunity to work on innovative projects.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 &middot; Preparing and analyzing data with complex manipulations on big data.
 
 
 &middot; Design and create end-to-end pricing processes for individual products.
 
 
 &middot; Building Actuarial Risk Models, Price Sensitivity Models and Hybrid Models with Statistical Learning and Machine Learning methods (GLM/GAM/Regression, GBM, Supervised Tree Based Algorithms, Unsupervised Models)
 
 
 &middot; Work closely and exchange information with internal teams (Product Managers, Marketing, IT, Claims) to improve the quality of pricing algorithms and develop pricing strategies.
 
 
 &middot; Manage the tariff by reviewing and monitoring the impact analysis of prices, market, models, products by creating new KPIs..
 
 
 &middot; Following new publications and academic papers in the field of data science and actuarial pricing, conducting practical R&amp;D research and implementing well-performing structures together with IT.
 
 
 &middot; Develop tariff management strategies
 
 
 &middot; Creating reports and BI screens for all processes and ensuring their automatization.
 
 
 
 Requirements:
 
 
 
 &middot; Graduated from related fields of universities (Mathematics, Statistics, Actuarial, Industrial Engineering or Computer Sciences) (Master's degree in related fields will be a plus)
 
 
 &middot; To be able to think multidimensionally and to have the ability to produce analytical solutions to problems.
 
 
 &middot; Practical and theoretical mastery of Machine Learning and Regression models.
 
 
 &middot; To have the competence to create and follow up analytical models
 
 
 &middot; Experience in insurance and/or data analytics.
 
 
 &middot; To have the ability to make presentations and tell a story with data.
 
 
 &middot; Advanced command of MS Office tools (especially excel)
 
 
 &middot; Experience in data preparation and analysis with at least one of Python, R, SQL, Knime, SAS platforms.
 
 
 &middot; Experience in WTW (Emblem, Radar) tools is a plus.
 
 
 &middot; Experience in Machine Learning and Deep Learning libraries in Python and R languages is a plus (H2O, Pytorch, scikitlearn, etc.).
 
 
 &middot; Experience in BI tools is a plus (PowerBI, QlickSense, Tableu, etc.)
 
</div>

Actuarial Data Scientist / Pricing Analyst

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Data Scientist

QNB Türkiye

<div>
 
 
 DATA SCIENTIST
 
 
 
 
 
 
 
 ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
 
 
 
 
 
 
 Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 
 
 
 
 
 QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 
 
 
 
 
 
 What are the opportunities for you
 
 
 
 
 
 <ul>
 <li>
 Empowering working atmosphere which will appreciate your desire for development
 </li>
 <li>
 Keeping up to date with a progressive sector always looking for a new opportunity
 </li>
 <li>
 Building a career at one of the most trustable and growing sectors.
 </li>
 <li>
 Comfort of working at an environment supporting your happiness and growth
 </li>
 </ul>
 
 
 
 
 
 If you are willing to be a part of this developmental atmosphere
 
 
 
 
 
 
 We are seeking for several data scientists (
 
 junior and mid-level
 
 ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
 
 QNB R&amp;D Center
 
 . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 
 
 
 
 
 
 
 Job Description of Our Team:
 
 
 
 
 In order to ensure that process is managed in an accurate and effective way;
 
 <ul>
 <li>
 Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
 </li>
 <li>
 Troubleshooting and adjusting existing data and automated reporting environments
 </li>
 <li>
 Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
 </li>
 <li>
 Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
 </li>
 <li>
 Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
 </li>
 <li>
 Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
 </li>
 <li>
 Contributing to the development of data analytics strategies aligned with business objectives,
 </li>
 <li>
 Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
 </li>
 <li>
 Developing predictive models using various machine learning techniques,
 </li>
 <li>
 Preparing smart variables by performing big data analysis, feature engineering,
 </li>
 <li>
 Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
 </li>
 <li>
 Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
 </li>
 </ul>
 
 
 
 
 
 We are waiting for your application if;
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
 </li>
 <li>
 Interested in big data, analytics and machine learning subjects,
 </li>
 <li>
 Maximum 4 years of experience in related departments
 </li>
 <li>
 A methodological approach to data by presenting it clearly and effectively to support business decisions
 </li>
 <li>
 Ability to visualize data or use visualization tools,
 </li>
 <li>
 Good command of MS Office programs
 </li>
 <li>
 Good command of SQL for effective data manipulation and querying is a plus
 </li>
 <li>
 Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
 </li>
 <li>
 Fluency in English, both written and spoken
 </li>
 <li>
 Open-minded, strong analytical point of view and problem-solving skills,
 </li>
 </ul>
 
 
 
 
 The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 
</div>

Sabanci University

<div>
 
 We are looking for a Data Analyst and Scientist with the following qualifications to work in the Sabanc&inodot; University Digital Transformation Unit.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
 </li>
 <li>
 Proficiency in programming languages such as SQL, Python (pandas, scikit-learn, NumPy, matplotlib), and R,
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Power BI, and Microsoft Fabric,
 </li>
 <li>
 Strong knowledge of statistical modeling and machine learning algorithms,
 </li>
 <li>
 Experience working with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Microsoft Azure),
 </li>
 <li>
 Excellent analytical thinking and strong attention to detail,
 </li>
 <li>
 Preferably, hands-on experience with machine learning frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Preferably, experience in Agent Projects,
 </li>
 <li>
 Strong English communication skills, both written and verbal,
 </li>
 <li>
 Experience or demonstrated interest in the education sector is an advantage,
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Analyze internal datasets and provide data-driven insights to support business needs,
 </li>
 <li>
 Design and develop dashboards and visual reports using tools such as Power BI, Fabric, or Tableau,
 </li>
 <li>
 Create statistical analyses and basic machine learning models including regression, classification, and clustering,
 </li>
 <li>
 Perform data analysis and modeling using Python or R,
 </li>
 <li>
 Monitor and improve the performance of developed models,
 </li>
 <li>
 Lead and coordinate Agent Projects,
 </li>
 <li>
 Collaborate closely with business units to support data-driven decision-making processes,
 </li>
 </ul>
 
 
 
 
 
 What we will offer you?
 
 
 <ul>
 <li>
 Working in Sabanc&inodot; University Campus with collaborative work environment and gym &amp; social areas,
 </li>
 <li>
 A competitive salary and a robust compensation package including, employer sponsored family included private health insurance, life insurance and private pension benefits,
 </li>
 <li>
 Hybrid working,
 </li>
 <li>
 Performance Reward policy,
 </li>
 <li>
 Transportation and university cafeteria,
 </li>
 <li>
 Meal allowance, communication and internet support for hybrid working days,
 </li>
 <li>
 Opportunity to study a master&rsquo;s degree at the university and Erasmus Staff Mobility Programme,
 </li>
 <li>
 English language course,
 </li>
 <li>
 On-campus healthcare, library,
 </li>
 <li>
 Several discounts including pre-school and SA Group company services,
 </li>
 <li>
 Social clubs and activities.
 </li>
 </ul>
 
 
 
 
 ''Sabanc&inodot; University is committed to the principle of equal opportunity and equal treatment in education and employment. The University respects all individuals without any discrimination of gender, religion, national and ethnic origin, race, color, physical disability, physical appearance, marital or parental status, sexual orientation, age, or political affiliation in the administration of its educational, admission and employment policies, and its scholarship and university-sponsored programs.''
 
</div>

Data Analyst and Scientist

Sompo Teknoloji

<div>
 
 Sompo Technology was founded in August 2024 by Sompo Insurance T&uuml;rkiye, a leader in non-life insurance products. Based at &Idot;T&Uuml; ARI Teknokent, Sompo Technology is committed to shaping the future of insurance through artificial intelligence and advanced technology, driving innovation to enhance the customer experience.
 
 
 Sompo Insurance, established in 1888 as Japan&rsquo;s first fire insurance company, has over 130 years of history. Today, it operates in 29 countries with approximately 75,000 employees worldwide. Sompo is looking for &ldquo;
 
 Data &amp; AI Scientist
 
 &rdquo; to take part in its growing team.
 
 
 
 
 
 
 Location:
 
 Istanbul (Head Office), Izmir / Ankara / Antalya (Regions) - Hybrid
 
 
 
 
 
 
 Your Profile &amp; Responsibilities
 
 
 <ul>
 <li>
 Expertise level will be determined based on the candidate as new grad, junior, mid, senior
 </li>
 <li>
 Part time option is available for PhD or master&rsquo;s students
 </li>
 <li>
 Bachelor&rsquo;s degree from a reputable university is a preferred and PhD or master&rsquo;s degree is a plus.
 </li>
 </ul>
 
 
 Statistics &amp; Data Science Expertise
 
 
 <ul>
 <li>
 Passion for statistics and a strong statistical mindset
 </li>
 <li>
 Utilize statistical techniques to analyze business problems and develop solutions
 </li>
 <li>
 Build data science models for the insurance sector, leveraging statistical methods, predictive analytics, anomaly detection, clustering, and optimization
 </li>
 </ul>
 
 
 Business &amp; Decision-Making Support
 
 
 <ul>
 <li>
 Collaborate with business and IT units to develop analytical solutions that enhance decision-making
 </li>
 <li>
 Actively communicate with business units to identify potential project opportunities
 </li>
 <li>
 Align data-driven projects with company OKRs and strategic vision
 </li>
 <li>
 Eager to learn from the data analytics team while actively sharing insights and expertise
 </li>
 </ul>
 
 
 Analytical Infrastructure &amp; Operations
 
 
 <ul>
 <li>
 Work with KNIME, SQL, Python, WTW Emblem/Radar, and similar tools
 </li>
 <li>
 Supervise and maintain the analytics data warehouse environment
 </li>
 <li>
 Oversee deployed analytics models and ensure their reliability
 </li>
 <li>
 Document solutions and processes for future reference
 </li>
 <li>
 Contribute to the productization of data science solutions
 </li>
 </ul>
 
 
 AI Research &amp; Innovation in Insurance
 
 
 <ul>
 <li>
 Conduct AI research, implement contemporary innovations, and adapt them for insurance applications
 </li>
 <li>
 Leverage Generative AI / LLM for insurance business cases
 </li>
 <li>
 Contribute to IT coding practice transformations using Generative AI / LLM
 </li>
 <li>
 Explore and utilize big data environments, languages, and tools (e.g., Cloudera, Spark, Hive, Impala) to develop solutions tailored for insurance
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER?
 
 
 <ul>
 <li>
 Hybrid Model,
 </li>
 <li>
 Employee Discounts,
 </li>
 <li>
 Company Supported Private Pension Insurance,
 </li>
 <li>
 Employee Support Program (AVITA),
 </li>
 <li>
 Social Clubs,
 </li>
 <li>
 Sompo Academy "Training and Developments Opportunities",
 </li>
 <li>
 Private Health Insurance &amp; Life Insurance,
 </li>
 <li>
 Meal Card &amp; Shuttle Opportunity,
 </li>
 <li>
 Technology &amp; Communications Benefit,
 </li>
 <li>
 MBA/Master Opportunities,
 </li>
 <li>
 Mentoring,
 </li>
 <li>
 Onboarding Programme (Orientation, Buddy etc.).
 </li>
 </ul>
 
 If you want to get more information about Sompo Sigorta, you can follow
 
 @sompokariyer
 
 
</div>

Data & AI Scientist

Hepsiburada (NASDAQ: HEPS)

<div>
 
 At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
 
 
 
 
 
 Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
 
 
 
 
 
 With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
 
 
 
 
 
 For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
 
 
 
 
 
 If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
 
 
 
 
 
 We're looking for a Senior Data Analyst;
 
 
 As a Data Analyst, you will manage defining the business needs and goals, implementing data mining and cleansing techniques, providing insights and telling stories. You will work with Technology Product Teams, Business Intelligence Developers, Data Engineers and Managers to provide solutions to the business problems through both small-sized deliverables in a fast and safe manner in addition to permanent high-quality solutions that will be accepted as standard in the company.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Responsible for understanding business problems and identifying the needs of cross functional teams.
 </li>
 <li>
 Ability to turn data into actionable insights using various big data analytic frameworks.
 </li>
 <li>
 Find patterns, anomalies, trends etc. in large and complex data sets related to various fields of ecommerce business in order to provide operational excellence.
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.
 </li>
 <li>
 Implement ETL pipelines regarding quality assurance of data and deploy them into production environments.
 </li>
 <li>
 Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in quantitative field (Statistics, computer science, engineering, Econometry, etc.)
 </li>
 <li>
 4+ years of work experience in data analytics , data engineering or business intelligence fields.
 </li>
 <li>
 4+ years hands on experience with SQL
 </li>
 <li>
 Strong data management skills (data preparation, data quality management etc.)
 </li>
 <li>
 Strong data analytical and problem-solving skills (analyze, interpret, model etc. )
 </li>
 <li>
 Strong level of statistics concepts and methods knowledge
 </li>
 <li>
 Eager to learn and share knowledge with others
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in A/B Test Methodologies and Funnel Analysis
 </li>
 <li>
 Experience and strong understanding in Big Data Environments (preferably BigQuery)
 </li>
 <li>
 Experience with building interactive visualization and BI platforms (preferably Looker Studio and Qliksense)
 </li>
 <li>
 Basic knowledge on machine learning algorithms
 </li>
 <li>
 Experience in Scrum methodologies
 </li>
 <li>
 Experience with workflow orchestration tools such as Apache Airflow
 </li>
 <li>
 Familiarity with version control systems, particularly GitLab
 </li>
 </ul>
 
 
 
 
 
 
 
 https://medium.com/hepsiburadatech
 
 
 https://stackshare.io/hepsiburada
 
 
 
 
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir.Ayd&inodot;nlatma Metni&rsquo;ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ula&scedil;abilirsiniz.
 
 
</div>

Senior Data Analyst

Explore 658+ Big data analyst marketing data scientist in Istanbul this September. Find roles across top companies and apply now to boost your career.

658 big data analyst marketing data scientist jobs IN Istanbul

Big Data Analyst & Marketing Data Scientist

Actuarial Data Scientist / Pricing Analyst

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Data Scientist

Data Analyst and Scientist

Data & AI Scientist

Senior Data Analyst