data scientist

business analyst

data analyst

senior data scientist

data specialist

data analytics analyst

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at TurkNet
 
 
 
 We&rsquo;re looking for an experienced Data Analyst to join our game changer team.
 
 
 
 
 
 
 
 
 
 💻Responsibilities
 
 
 <ul>
 <li>
 Understand business objectives, data requirements and transform them into valuable insights and analytical solutions.
 </li>
 <li>
 To take part in data warehouse design, modeling and analysis studies. Design and follow ETL processes using industry standards.
 </li>
 <li>
 Interpret data, find patterns, anomalies, trends, etc. in large and complex data sets. Analyze results using statistical techniques.
 </li>
 <li>
 Develop interactive dashboards, reports, etc. to tell stories with data.
 </li>
 <li>
 Working in partnership with Data Scientists and Data Engineers to develop our data ecosystem.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 👩 👨 💻 Who You Are
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Computer Engineering, Industrial Engineering, Statistics, Mathematics or similar quantitative disciplines.
 </li>
 <li>
 Extensive experience with SQL.
 </li>
 <li>
 Very strong experience in database technologies, data warehousing, data modeling.
 </li>
 <li>
 Strong experience in visualization and BI platforms. (Strategy platform is a plus)
 </li>
 <li>
 Proficiency in Python and related data analysis, data manipulation libraries (Pandas, Numpy).
 </li>
 <li>
 Strong skills in data analytics, statistics, and problem solving.
 </li>
 <li>
 Strong communication skills as well as written and oral presentation skills. Ability to present and communicate data results with effective visuals.
 </li>
 <li>
 Passionate about learning new technologies and creating innovative solutions
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Analyst. Therefore, you should have 3+ years of experience in a Data Analyst role.
 
 
 
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with TurkNet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to TurkNet!
 
</div>

Data Analyst

<div><div>We&rsquo;re looking for Data Analyst across our business located in &#304;stanbul! 
 
Let's be the part of our <div>#TogetherUnsto</div>ppable team! 
 
DHL is a brand with a vision to become &quot;The logistics company for the world&quot;. Our promise to customers is to provide simplifying services and sustainable solutions and to always demonstrate respect without compromising on results. 
 
DHL Supply Chain is providing supply chain management and consulting like warehousing, distribution, managed transportation services and value added services in consumer, retail, life science &amp; healthcare, technology, engineering &amp; manufacturing and automotive sectors. We are active in more than 60 countries and territories, employing around 120,000 people. DHL Supply Chain located in 2400 locations all over the world and manages approx. 23 million m2 storage area. 
 
DHL Supply Chain Turkey started its operations in 2000 providing warehousing, distribution, labeling, packaging, technical services, home delivery, spare parts logistics and reverse logistics services. DHL Supply Chain Turkey serving leading companies in consumer, retail, healthcare, automotive, engineering &amp; manufacturing and technology sectors with more than 2000 employees in 370 thousand m2 warehousing space</div><div></div><div> 
Qualifications:</div>
<div></div><ul><li>Minimum 2 years of experience</li><li>Bachelor degree in Industrial Engineering, Computer Engineering, Mathematics, Physics and/or similar sciences.</li></ul>
<ul><li>Fluent in English.</li></ul>
<ul><li>Excellent communication and organizational skills.</li></ul>
<ul><li>Advanced level of MS Office, especially Excel.</li></ul>
<ul><li>Proficiency in Power BI, including:</li></ul>
<ul><li>Development of new reports</li></ul>
<ul><li>Dataset creation and ongoing maintenance</li></ul>
<ul><li>Strong command of DAX and M Query languages</li></ul>
<ul><li>Additional technical skills such as experience with databases (SQL), programming languages (preferably Python), or relevant analytics certifications are highly desirable.</li></ul>
<ul><li>Solid knowledge of data modeling with ability to design, optimize, and maintain effective data structures</li></ul>
<ul><li>Emerging expertise in AI capabilities, with a focus on prompt engineering and applying AI tools to enhance data-driven decision-making</li></ul>
<ul><li>Strong problem-solving skills in dealing with complex datasets.</li></ul>
<ul><li>Good level of statistics and statistical modeling.</li></ul>
<ul><li>Ability to adapt to evolving technologies and methodologies in the field of data analytics.</li></ul>
<div></div><div>Job Description:</div>
<div></div><ul><li>Support the design and development of enterprise-wide data analysis and reporting solutions.</li></ul>
<ul><li>Tracking new dataset and/or data column requirements with Operation Team and requesting this from IT Department to be added in to current dataset.</li></ul>
<ul><li>Maintaining Power BI dataset, creating regular dataset backups and regular dataset health checks.</li></ul>
<ul><li>Maintaining new DATA formulations and/or calculated columns according to operational KPI Criteria requirements.</li></ul>
<ul><li>Supporting Role Profiles within Power BI for visibility limitations, report accessibility, etc.</li></ul>
<ul><li>To summarize analysis results and make recommendations to senior management.</li></ul>
<ul><li>To monitor and analyze the daily KPIs closely in order to define the reason of inconsistencies and supporting Operation to maintain the reasons.</li></ul>
<ul><li>To support with the business in retrieving and maintaining customer and 3rd party data, and to define leading LSP systems as required standards.</li></ul>
<ul><li>To turn raw business data into critical and coordinated information and knowledge that can be used to make sound business decisions.</li></ul>
<ul><li>To continuously update and improve existing solutions to enhance data analysis capabilities.</li></ul></div>

LLP - Data Analyst

Migros One

<div>
 
 
 Who are we?
 
 
 
 Our business is technology, food and retail. We are a young team that combines all resources with technology; Our goal is to provide an excellent e-commerce service to meet your needs. In short, you can call us Migros One. 😉
 
 
 
 
 
 Today, as a team that holds the
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate with the contributions of our employees we produce, learn and develop together. We rediscover our passion for our business every day and build Migros One culture together.
 
 
 
 
 
 
 Our Culture
 
 
 
 We are #ONE to create a better tomorrow for our community. Our way of working includes four core values that we strive to act:
 
 
 1. Take accountability with passion
 
 
 2. Drive innovation with curiosity
 
 
 3. Make a difference for our customers
 
 
 4. Create open communication
 
 
 
 
 
 We live these values every day and create an environment where everyone enjoys working. Our business culture based on trust, openness and innovation has been recognized with our
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate!
 
 
 
 
 
 
 What Do We Do?
 
 
 
 As Migros One; We spread happiness in being the pioneer of innovation in the field of food and retail technology with our brands
 
 Migros Sanal Market, Migros Hemen, Migros Extra, Migros Yemek, Macroonline, Tazedirekt, Mion and Petimo!
 
 
 
 
 
 
 Our determination to find fast and effective solutions always keeps us one step ahead. Our team's passion and energy make their jobs enjoyable.
 
 
 
 
 
 Thanks to our people-oriented approach, we aim to create a more comfortable and practical world for everyone by using them all. We constantly strive to provide the best experience to our consumers and employees! As Migros One team, we get excited with every member of our team creating his/her own career story!
 
 
 
 
 
 If you would like to be a part of this visionary and tech-savvy e-commerce team, don&rsquo;t wait! Make your application!
 
 
 
 
 
 We are looking for
 
 Data Analyst
 
 who will be on our team!
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Master degree in a quantitative discipline
 </li>
 <li>
 Experience working in e-commerce or customer analytics environments,
 </li>
 <li>
 Experience with tools like Mixpanel, or similar platforms,
 </li>
 <li>
 Familiarity with cloud technologies especially AWS ,
 </li>
 <li>
 Strong storytelling and presentation skills to convey data-driven narratives,
 </li>
 <li>
 Curious, self-motivated, and able to manage multiple priorities.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor degree in a quantitative discipline (e.g., Industrial Engineering, Statistics, Mathematics, Computer Science, etc.) or equivalent practical experience,
 </li>
 <li>
 Minimum 2 years of experience in a data-related role (preferably in e-commerce),
 </li>
 <li>
 Strong analytical thinking and attention to detail,
 </li>
 <li>
 Proficiency in SQL and experience working with relational databases,
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Looker),
 </li>
 <li>
 Hands-on experience with Excel and Python (especially for data analysis and reporting),
 </li>
 <li>
 Ability to translate data into business insights and communicate clearly with non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Communicate with various levels of business and technical teams to understand analytical needs,
 </li>
 <li>
 Perform deep-dive &amp; statistical analyses to uncover trends, patterns, and opportunities in customer behavior, marketing performance, sales funnels, and product metrics,
 </li>
 <li>
 Build dashboards and reports that track business KPIs and present insights clearly to stakeholders,
 </li>
 <li>
 Use SQL and analytical tools to extract, clean, and manipulate data from multiple sources,
 </li>
 <li>
 Support A/B testing, cohort analysis, and campaign performance tracking,
 </li>
 <li>
 Collaborate with data engineers, product managers, and business teams to deliver insight-driven recommendations.
 </li>
 </ul>
 
 
</div>

Gram Games

<div>
 
 Who We Are
 
 
 
 Gram Games is the studio behind popular titles like 1010!, Six!, Merge Dragons!, and Merge Magic!, with more exciting projects in the pipeline. We are proudly part of the Zynga &amp; Take-Two Interactive family. We do things differently here: we work in small self-managing teams, giving you an incredible amount of ownership, autonomy, and impact.
 
 
 At Gram, everyone is expected to have a razor-sharp focus on creating a tangible impact on their team, their work environment, and on the overall company strategy. If you are motivated by autonomy, constant improvement, collaboration, and a sense of belonging, this is the place for you.
 
 
 
 Position Overview
 
 
 
 As a Data Analyst you will play a key role in driving Gram Games' data-driven culture. Working closely with production teams, develop insightful dashboards, integrate data models into production systems, and create &amp; enhance statistical models, all to support our mission of creating the best games in the world. As part of a collaborative and innovative team, you will contribute to making data a key driver in all stages of our production process.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Turn raw in-game data into clear and actionable product and business insights that drive decisions and innovation and support the game team.
 </li>
 <li>
 Dive into structured and unstructured data sets, discovering trends, and understand the whats &amp; whys behind the data to help improve player experience and boost product performance.
 </li>
 <li>
 Design, run, and analyze A/B tests to optimize in-game features and player monetization and engagement.
 </li>
 <li>
 Create and communicate reports, analyses, and dashboards that provide actionable and timely insights for teams across the whole studio, making complex data easy to understand for non-technical stakeholders.
 </li>
 <li>
 Collaborate with game teams to ensure data is effectively integrated into production pipelines, supporting every stage of development.
 </li>
 <li>
 Communicate with multiple stakeholders and be on top of everything happening in the game and support the game team&rsquo;s day-to-day needs, including ad-hoc requests and deep dives into problematic areas.
 </li>
 <li>
 Impact the game by being a vocal and active participant in the decision-making process.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Genuine passion for video games.
 </li>
 <li>
 At least 2 years of hands-on experience working in data analytics in digital product companies.
 </li>
 <li>
 Experience working in a gaming company coupled with a deep understanding of the mobile gaming industry and free-to-play model is desirable.
 </li>
 <li>
 A bachelor's degree or higher in a STEM field from a reputable university or equivalent demonstrable experience in data analytics or a related field.
 </li>
 <li>
 Excellent knowledge of statistics and statistical techniques, with proven hands-on experience with SQL and Python to extract and manipulate data is a must.
 </li>
 <li>
 Ability to create and document reproducible analysis. Experience with Git is a plus.
 </li>
 <li>
 Excellent written and verbal communication skills in English, with the ability to present complex ideas clearly and concisely.
 </li>
 <li>
 Proven experience working with large datasets and transforming raw data into actionable insights that drive critical business decisions.
 </li>
 <li>
 The ability to distinguish between correlation and causation, effectively handling biases in complex datasets.
 </li>
 <li>
 Exceptional attention to detail with the ability to ensure consistent data quality across reports and maintain reporting services through dashboards.
 </li>
 <li>
 A collaborative approach and willingness to work closely with production teams to ensure data is used properly across all stages of development, among all stakeholders.
 </li>
 <li>
 A proactive and adaptable mindset with the ability to quickly learn new tools and methodologies, to maintain the existing ones, and to develop your own.
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Hybrid working model
 </li>
 <li>
 Beautiful modern office in Maltepe with breakfast, lunch, dinner, and lots of treats
 </li>
 <li>
 Private health and life insurance
 </li>
 <li>
 Company bonus scheme
 </li>
 <li>
 Corporate well-being support programs
 </li>
 <li>
 Amazing tech to work with and consoles to play and relax with everywhere you look!
 
 
 </li>
 </ul>
 We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic &ndash; not an individual&rsquo;s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
 
 
 As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at jobs@gram.gs to request any accommodations or for support related to your application for an open position.
 
 
 Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga&rsquo;s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
 
 
</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

Vertigo

<div>ABOUT VERTIGO GAMES
We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150+ million fans worldwide!
Check out our smash-hit games:
 Critical Strike: Download it here<ul><li>&#65039; Polygun Arena: Download it here</li></ul>
Now, we're looking for a passionate Data Analyst to join our dynamic team in Istanbul. This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working 5 days a week from our office in Levent.
Don't miss the chance to shape the future of gaming and make your mark on millions of players worldwide!
 Watch our office video to get an inside look at the great work environment you'll join! Watch it here
Responsibilities<ul>
<li>Examine user engagement patterns and purchase characteristics to understand player behavior and preferences within our games.</li>
<li>Investigate users&rsquo; events to identify the elements causing frustration.</li>
<li>Work closely with the Marketing and Product teams to provide data-driven insights that inform strategy and decision-making processes.</li>
<li>Analyze how users react to new features and in-game events to evaluate their effectiveness and identify areas for improvement.</li>
</ul>Requirements<ul>
<li>Proficiency in data analysis tools such as SQL, R, Python, or similar.</li>
<li>Strong analytical skills with the ability to interpret complex data sets and translate them into actionable insights.</li>
<li>Excellent communication and collaboration skills to work effectively with cross-functional teams.</li>
<li>Passion and interest for mobile gaming industry trends and user behavior is a plus.</li>
</ul>Interviewing<ul>
<li>Application Submission: You can apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself. If your profile matches our requirements, we'll reach out to you.</li>
<li>People &amp; Culture Interview: You'll meet with our People &amp; Culture team to talk about your background, your goals, and how we fit in. This meeting will take place online via Google Meet.</li>
<li>Case Study: You&rsquo;ll take on a practical task related to the role to demonstrate your skills in a case study.</li>
<li>Technical Interview: You&rsquo;ll have an in-depth discussion of the case and meet the lead of the relevant department at our Istanbul office.</li>
<li>Final Meeting: You&rsquo;ll have a face-to-face meeting with our founders to discuss further details at our Istanbul office.</li>
</ul>Benefits
 Competitive net salary
 Meal Card
 Private Health Insurance
 Monthly-based financial support for educational platforms
 Company equity: Share in the company to make you an owner, not just an employee
 Birthday leave
 Retention bonus
 Referral bonus
 5 days of annual leave from the start date</div>

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.
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 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.
 
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Big Data Analyst & Marketing Data Scientist

Explore 542+ Data analytics analyst in Istanbul this September. Find roles across top companies and apply now to boost your career.

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Big Data Analyst & Marketing Data Scientist