Principal Data Analyst
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Data Analyst Job Listings
Data Analyst (Data Analyst / Business Analytics Specialist / Data Analytics Specialist) job listings target candidates who can interpret data and provide insights that drive decision-making. Listings often highlight data cleaning, reporting, visualization, and cross-functional collaboration. SQL proficiency, familiarity with analytics tools, and experience in generating measurable business impact are commonly expected.
What Does a Data Analyst Do?
A Data Analyst collects data from various sources, cleans it, and prepares it for modeling. They define business problems, form hypotheses, and test them using analytical methods. They create dashboards and reports for leadership and teams. They perform trend, segmentation, and correlation analyses. Through experiment design, A/B testing, and KPI tracking, they support product and marketing decisions. They communicate insights clearly and effectively to stakeholders.
What Should You Pay Attention to When Reviewing Data Analyst Job Listings?
Evaluate the data sources, data volume, and refresh frequency. Requirements for SQL proficiency, reporting and visualization tools, statistical expectations, and A/B testing culture should be clear. The role’s focus—be it product, marketing, or operations—should be explicitly stated. Data governance, data quality processes, versioning, and collaboration structures must be defined. Also check hybrid/remote working expectations, sprint structure, and delivery responsibilities.
Required Education and Certifications in Data Analyst Job Listings
Degrees in Business, Industrial Engineering, Statistics, Mathematics, Economics, or Computer Engineering are generally preferred. Courses in statistics, experiment design, and data management are advantageous. Certifications in SQL, data visualization, and analytics tools add value. Training in cloud data warehousing and data modeling strengthens applications. Portfolio projects and case studies provide concrete evidence of skills.
What Skills Are Employers Looking For in Data Analyst Roles?
Analytical thinking, attention to detail, and strong problem-solving abilities are expected. Data storytelling and clear presentation skills are important. Familiarity with product and growth metrics, along with experiment design and interpretation, is highly valued. Over time, expertise in experimentation platforms, data governance, and automation becomes more in demand. A collaborative, curious, and eager-to-learn profile is preferred.
Career Opportunities for Data Analysts
Major industries include e-commerce, fintech, telecommunications, gaming, SaaS, health tech, and retail. Agencies and consulting firms offer diverse project experience across sectors. Career paths may progress toward Senior Data Analyst, Product Analyst, Growth Analyst, Analytics Engineer, or Data Scientist roles. Data-driven product companies offer a wide range of opportunities.
How to Apply for Data Analyst Job Listings
Clearly list your SQL proficiency, tools you use, and the measurable impact you have achieved. Highlight dashboard examples, A/B test outcomes, and improved KPIs with concrete metrics. Include notebooks and repository links in your portfolio. In your cover letter, briefly summarize your approach to framing business problems, data cleaning, and presenting insights. Prepare for interviews with case studies and small dataset analyses.
Fields Data Analysts Can Work In
Data Analysts can work in product analytics, marketing performance, user behavior analysis, pricing and demand forecasting, risk and fraud detection, operational efficiency, and customer lifecycle analytics. They collaborate with data warehouse teams to design reporting layers. They help establish experimentation culture and support decision-making with data.
Programming Languages Commonly Required in Data Analyst Job Listings
SQL is a core requirement. Python is widely preferred for data cleaning, statistics, and automation. R is used in some teams for analytics and visualization. Proficiency with data visualization tools is expected. Familiarity with query optimization and cloud data warehouses is an advantage in big data environments. Knowledge of version control and basic CI practices strengthens applications.
Principal Data Analyst
01.12.2025
İstanbul / Türkiye
Deneyim: 4-6 Yıl
Type of Work: Tam Zamanlı
Work Location: Hibrit
Job Description
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 & 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 Principal Data Analyst, you will play a key leadership role in driving Gram Games' data-driven culture and strategy. You will lead a team of data professionals while serving as a technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you'll develop innovative analytics solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games.
What You’ll Do:
- Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and fostering collaboration across teams
- Define and implement our data strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio
- Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization
- Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction
- Design and oversee complex A/B testing frameworks to evaluate game features, marketing campaigns, and monetization strategies, monitoring results and delivering actionable recommendations
- Translate complex technical concepts and analytical findings into clear, compelling narratives that drive strategic decisions at the executive level
- Collaborate with engineering teams to implement data solutions in production environments and ensure data infrastructure meets the needs of data initiatives
- Stay at the forefront of analytics advancements, evaluating new methodologies and technologies to maintain competitive advantage
- Serve as the data authority in strategic planning sessions, using your expertise to influence product roadmaps and business strategy
- Build strong relationships with key stakeholders across the organization to understand their needs and ensure analytics initiatives deliver measurable business impact
What You Bring:
- Genuine passion for video games and a deep understanding of the mobile gaming industry
- 5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company
- Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field
- Expert knowledge of statistics, machine learning, and causal inference techniques with demonstrated ability to apply them to real-world business problems
- Mastery of programming languages such as Python and SQL, with experience building production-level data science applications
- Proven track record of leading successful analytics initiatives that delivered significant business impact
- Experience with big data technologies and cloud platforms (AWS, Snowflake, etc.)
- Strong project management skills with ability to prioritize, manage resources, and deliver complex projects on time
- Exceptional communication skills with the ability to present complex findings to both technical and non-technical audiences
- Deep understanding of performance marketing in mobile games, including user acquisition strategies, marketing attribution, ROAS optimization, and LTV modeling
- Demonstrated leadership abilities, including mentoring data professionals and influencing cross-functional stakeholders
- Strategic thinking with the ability to connect data insights to business objectives and drive organizational change
- Experience with game analytics, player behavior modeling, and free-to-play monetization strategies is highly desirable
What we offer you:
- Competitive salary
- Hybrid working model
- Beautiful modern office in Maltepe with breakfast, lunch, dinner, and lots of treats
- Private health and life insurance
- Company bonus scheme
- Corporate well-being support programs
- Amazing tech to work with and consoles to play and relax with everywhere you look!
Skills
About Company
About Gram Games
Hakkımızda
We are the studio behind some of the most popular mobile games in the world, such as 1010!, Six!, Merge Dragons! and recently released Merge Magic!. We do things differently here: we work in small self-managing teams, enabling you to have an incredible amount of ownership, autonomy and impact. We'll never ask you to abandon your craft and just focus on managing others or workload. At Gram everyone is expected to have a razor-sharp focus on what creates tangible impact: impact on their team, impact on their work environment and impact on the overall company strategy. If you are motivated by autonomy, constant improvement, collaboration and the sense of belonging this is the right job for you.
Our family-like atmosphere, fuelled by events and cross-company collaboration and communication is like no other. We offer amazing benefits and above market salaries. Join us, and realise the highest impact and potential of your career.
