business analyst

data scientist

data analyst

data engineer

big data & ai engineer

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

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Growth, we align pricing, discount, and marketing strategies to drive sustainable and scalable growth. We work cross-functionally with teams like Product, Category, and Operations to uncover opportunities and deliver impact. With a strong learning culture and data-driven mindset, we grow together &mdash; as individuals and as a team.
 
 
 
 
 
 As a
 
 Data Analyst
 
 , you will be at the heart of our data-driven decision-making. You will use your analytical expertise to uncover key insights from large datasets, helping us understand what drives product growth and where we can improve. You'll be acting as a crucial bridge between data and business strategy. Your work will directly influence the success of our product, as you use metrics to measure performance, identify opportunities, and guide future development.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain performance tracking dashboards to provide real-time insights on key business metrics, performance indicators, and trends. Communicate insights and recommendations to stakeholders across the organization
 </li>
 <li>
 Develop an comprehensive analytical understanding of what drives growth for the product and how it can be improved
 </li>
 <li>
 Use metrics and analytics to measure the success of the data product and make improvements as needed
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and key insights via sql, python
 </li>
 <li>
 Collaborate with business units to understand requirements and deliver targeted analytics
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Management Information Systems or Industrial Engineering
 </li>
 <li>
 2+ years experience in data analysis, project &amp; product management.
 </li>
 <li>
 Coding skills &ndash; ability to code in one or more languages (SQL, Python)
 </li>
 <li>
 Communication Skills, excited to work with different functions within company, creative problem solver who thrives with ambiguity
 </li>
 <li>
 Familiar with digital analytics visualisation tools (Looker, Qlikview, Tableau etc.)
 </li>
 <li>
 Strong analytical skills and experience of working with large volumes of data
 </li>
 <li>
 Enjoys the challenge of simplifying complex data, processes, and concepts to highlight key insights and guide decision making
 </li>
 <li>
 A genuine interest in digital disciplines and stay up to date on trends
 </li>
 <li>
 Excellent written and verbal communication skills in English
 </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>

Growth Data Analyst

CALIGO

<div>
 
 
 About the job
 
 
 
 
 What are the CALIGO Values?
 
 
 <ul>
 <li>
 We are motivated to be the
 
 Leader,
 
 </li>
 <li>
 We are committed to
 
 Excellence,
 
 </li>
 <li>
 We thrive within our
 
 Team,
 
 </li>
 <li>
 We
 
 Communicate
 
 effectively.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 JOB DESCRIPTION
 
 
 <ul>
 <li>
 Working in cross-functional teams as an
 
 M-Shaped Professional
 
 who can bring together several technical capabilities and industry know-how to transform big data into business insight
 </li>
 <li>
 Participating in the
 
 end-to-end project development life cycle
 
 (i.e., requirement analysis, technical design, implementation, testing, documentation, delivery and monitoring)
 </li>
 <li>
 Participating in
 
 source data analysis, requirement analysis
 
 and
 
 prototyping sessions
 
 as a
 
 Data
 
 
 Analyst
 
 with the business users to define data needs
 </li>
 <li>
 Working as a
 
 Data
 
 
 Engineer
 
 on
 
 Data Quality, Data Preparation, Data Modeling, Data Integration, Data Visualization, Business Intelligence
 
 activities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 QUALIFICATIONS
 
 
 <ul>
 <li>
 Experience with
 
 DBMS and DB Appliances
 
 (
 
 MS SQL Server
 
 or
 
 Oracle Exadata
 
 ),
 </li>
 <li>
 Data Wrangling and Programming proficiency in
 
 PLSQL, T-SQL
 
 or
 
 Python
 
 </li>
 <li>
 Data Integration Tool experience
 
 (Oracle Data Integrator
 
 or
 
 Informatica)
 
 </li>
 <li>
 BI Tool experience (
 
 SAP Business Objects, Power BI, Tableau
 
 or
 
 QlikSense
 
 )
 </li>
 <li>
 Data Modeling experience on Data Modeling Tools (
 
 SAP Power Designer
 
 or
 
 Erwin Data Modeler
 
 )
 </li>
 <li>
 Previous
 
 Data and Analytics Services
 
 experience is a plus
 </li>
 <li>
 Previous experience in the
 
 Telco
 
 ,
 
 Insurance
 
 ,
 
 Banking or Airline
 
 industries is a plus
 </li>
 <li>
 Being familiar with business terminology, regulations and standards being imposed on the industries
 </li>
 <li>
 Experience in populating huge analytical datasets which are used to support complex decision-making processes
 </li>
 <li>
 Excellent problem solving, documentation, communication and presentation skills
 </li>
 <li>
 Fluency in English and Turkish
 </li>
 </ul>
 
 
 
 
 
 
 
 
 WHAT DO WE OFFER YOU:
 
 
 <ul>
 <li>
 Opportunity to be a part of a dynamic, motivated and well equipped agile team
 </li>
 <li>
 Opportunity to work with major clients in Banking, Finance, Telco, Airline and Insurance industries and learn valuable business know-how
 </li>
 <li>
 Opportunity to expand your technological expertise both on the job and during CALIGO Academy training sessions.
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 Cash Meal Allowance
 </li>
 <li>
 Extra paid leave days
 </li>
 <li>
 Opportunity to join our CALIGO Sailing Team
 </li>
 </ul>
 
 
 
 
 
 
 
 
 After all the CVs of the applicants are evaluated, only candidates who meet all the requirements for the relevant job will be contacted.
 
 
 
 
</div>

Data & Analytics Consultant

Midas

<div><div>At Midas, we are working on real-life user needs to transform the world of finance.</div><div>
We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.</div><div>
Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.</div><div></div><div> 
At Midas, we exchange ideas, complement each others skills, and share experiences. In this way, everyone contributes to an atmosphere in which we challenge ourselves, and come up with new ideas and expand our vision. We are a team shaping the future of trading in Turkey and growing rapidly. As Turkey's first effortless stock trading platform, we are looking for Product Data Analyst who will join our talented Data Analytics Team that works on mission-critical applications.</div>
<h3 class="jobSectionHeader">About Midas Team</h3><ul><li>
We solve challenging problems and build 10x better products</li><li>
We expect hard work, high ownership, a strong desire to learn.</li><li>
We bring the best people, holding high quality standards, and an environment of speed and ambition</li><li>
You will get to push your boundaries and learn from the best</li></ul><h3 class="jobSectionHeader">
What You&rsquo;ll Ship</h3><ul><li>
Data Analysis &amp; Insight Generation: Analyze large datasets to deliver strategic recommendations to Product, Engineering, Growth, and Business teams, including root cause analysis of key problem areas.</li><li>
Reporting &amp; Dashboard Development: Build product performance dashboards with KPIs, prepare monthly and ad hoc reports, and manage automated reporting processes.</li><li>
Data Visualization &amp; Storytelling: Create clear and impactful visualizations that effectively communicate insights and tell the story behind the data.</li><li>
Communication &amp; Collaboration: Present insights across the organization through reports and presentations, while working closely with product and engineering teams to inform and support strategy.</li><li>
Data Infrastructure &amp; Organizational Skills: Develop datamart and DWH structures for internal and self-service use, demonstrating strong organizational, detail orientation, and prioritization skills.</li></ul><h3 class="jobSectionHeader">
Cultural Competencies</h3><ul><li>
Takes full ownership &mdash; doesn&rsquo;t wait, just solves</li><li>
Questions assumptions and rebuilds from first principles</li><li>
Balances speed and quality &mdash; ships fast, but always clean</li><li>
Collaborates fluidly across teams; communicates clearly, with empathy and precision</li></ul><h3 class="jobSectionHeader">
What You&rsquo;ll Bring</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Business Administration, Economics, Management Engineering, Industrial Engineering, or a related quantitative field.</li><li>
Strong proficiency in SQL, Tableau (or other data visualization tools); knowledge of Python is a plus.</li><li>
Design and analyze A/B tests, create predictive and explanatory models, and conduct proactive analytical projects to improve product performance.</li><li>
Knowledge of customer acquisition, re-engagement, and retention strategies to support product growth.</li><li>
Ability to handle complex projects and apply statistical methods (e.g., hypothesis testing, logistic regression) to measure results and drive insights.</li></ul></div>

Product Data Analyst

<div>
 At Midas, we are working on real-life user needs to transform the world of finance.
 
 
 We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.
 
 
 Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.
 
 
 At Midas, we exchange ideas, complement each others skills, and share experiences. In this way, everyone contributes to an atmosphere in which we challenge ourselves, and come up with new ideas and expand our vision. We are a team shaping the future of trading in Turkey and growing rapidly. As Turkey's first effortless stock trading platform, we are looking for Product Data Analyst who will join our talented Data Analytics Team that works on mission-critical applications.
 
 
 
 About Midas Team
 
 
 
 <ul>
 <li>
 We solve challenging problems and build 10x better products
 </li>
 <li>
 We expect hard work, high ownership, a strong desire to learn.
 </li>
 <li>
 We bring the best people, holding high quality standards, and an environment of speed and ambition
 </li>
 <li>
 You will get to push your boundaries and learn from the best
 
 
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Ship
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insight Generation: Analyze large datasets to deliver strategic recommendations to Product, Engineering, Growth, and Business teams, including root cause analysis of key problem areas
 </li>
 <li>
 Reporting &amp; Dashboard Development: Build product performance dashboards with KPIs, prepare monthly and ad hoc reports, and manage automated reporting processes
 </li>
 <li>
 Data Visualization &amp; Storytelling: Create clear and impactful visualizations that effectively communicate insights and tell the story behind the data
 </li>
 <li>
 Communication &amp; Collaboration: Present insights across the organization through reports and presentations, while working closely with product and engineering teams to inform and support strategy
 </li>
 <li>
 Data Infrastructure &amp; Organizational Skills: Develop datamart and DWH structures for internal and self-service use, demonstrating strong organizational, detail orientation, and prioritization skills
 
 
 
 
 
 </li>
 </ul>
 
 Cultural Competencies
 
 
 
 <ul>
 <li>
 Takes full ownership &mdash; doesn&rsquo;t wait, just solves
 </li>
 <li>
 Questions assumptions and rebuilds from first principles
 </li>
 <li>
 Balances speed and quality &mdash; ships fast, but always clean
 </li>
 <li>
 Collaborates fluidly across teams; communicates clearly, with empathy and precision
 
 
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Business Administration, Economics, Management Engineering, Industrial Engineering, or a related quantitative field
 </li>
 <li>
 Strong proficiency in SQL, Tableau (or other data visualization tools); knowledge of Python is a plus
 </li>
 <li>
 Design and analyze A/B tests, create predictive and explanatory models, and conduct proactive analytical projects to improve product performance
 </li>
 <li>
 Knowledge of customer acquisition, re-engagement, and retention strategies to support product growth
 </li>
 <li>
 Ability to handle complex projects and apply statistical methods (e.g., hypothesis testing, logistic regression) to measure results and drive insights
 
 
 
 
 </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>

Spyke Games

<div>
 
 
 About Spyke Games
 
 
 
 
 
 
 We are a leading mobile gaming company founded by gaming veterans who have built and scaled massive gaming businesses for the past decade.
 
 
 
 
 
 We want to build the next generation of mobile game franchises to be played by millions of people around the globe for years. We are bringing together the smartest, the most talented and &lsquo;fun to work with&rsquo; group of people united around this single mission. Fostered with team spirit and collaboration, we strive to create a passionate, energetic and eager to learn &ldquo;geek&rdquo; culture focused on games.
 
 
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to help build, grow and optimize our mobile games. At Spyke, you will be working in a fast-paced, hyper-growth environment with some of the smartest minds in the industry. This scale and pace come along with very interesting business challenges which we will solve together, using a technology-agnostic and data-informed decision-making approach.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Synthesizing information from multiple sources to solve problems critical to Spyke&rsquo;s product and marketing strategies
 </li>
 <li>
 Setting up appropriate tools for Data Analysis and Visualization such as Looker or Tableau
 </li>
 <li>
 Creating and maintaining reports and dashboards for ongoing analysis of key metrics
 </li>
 <li>
 Coming up with actionable suggestions to improve key metrics
 </li>
 <li>
 Deep analysis of data to assess effects of product and marketing initiatives
 </li>
 <li>
 Writing SQL queries to support decision making
 </li>
 <li>
 Verifying data integrity and consistency
 </li>
 <li>
 Promoting data-culture across the organization
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Relevant Bachelor degree
 </li>
 <li>
 Maximum 2 years of experience Data professional in a mobile gaming company
 </li>
 <li>
 Work experience with SQL
 </li>
 <li>
 Experience with tools such as Firebase, BigQuery, Looker, Tableau
 </li>
 <li>
 Familiarity with marketing measurement tools such as Appsflyer or Adjust
 </li>
 <li>
 Distinctive problem-solving and analytical skills
 </li>
 <li>
 Ability to successfully work and partner across multiple functions in an organization
 </li>
 <li>
 Excellent communication and interpersonal skills
 </li>
 </ul>
</div>

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509 data analytics analyst jobs IN Istanbul

Data Analyst

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Data & Analytics Consultant

Product Data Analyst

Product Data Analyst

Data Analyst

Data Analyst