Jobless Developer
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Lyrebird Studio

Posted 8 days ago

Open

Data Lead

IstanbulOn-site

AI Summary

Leads and manages the data team at a mobile app company, overseeing analytics, engineering, and science initiatives to drive business insights and product growth.

About this role

Lyrebird Studio is a top mobile app development company produce user-friendly entertaining mobile apps for Android and iOS. Lyrebird takes firm steps for the future with its 45 million monthly active users and more than 2 Billion+ total downloads and installs over the globe. Its creative, technical and design teams work with passion and devotedly to meet the mobile app users expectations.
You will join an organic structure where you will take ownership of your role and contribute actively with new ideas of new projects in a creative and stimulating working environment. You will be part of a small and high performing team, and you will work together in goodwill to achieve best results.
Feel free to think big and if you're up to the challenge, come and join us!
We are looking for talent interested in creating something bigger! To succeed in this role, you will need to have a good understanding of the casual mobile apps market.
You will join a dynamic working environment where small teams can form around ideas.

Your Profile

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
  • At least 5 years of experience in Data Analytics, Data Engineering, Data Science, or related fields, preferably in the mobile app or technology industry
  • Proven experience in leading and managing data teams, including performance management, mentoring, and professional development
  • Advanced proficiency in SQL and Python, with strong analytical and problem-solving skills
  • Strong expertise in data analytics, business intelligence, KPI development, and transforming complex data into actionable business insights
  • Experience working with event-stream subscription data from App Stores and MMPs
  • Solid understanding of Data Engineering, including ETL/ELT processes, data pipelines, data modeling, and data warehousing
  • Familiarity with Data Science methodologies, including statistical analysis, predictive modeling, experimentation, and machine learning fundamentals
  • Experience with cloud-based data platforms such as BigQuery, Snowflake, Redshift, or similar technologies
  • Experience with business intelligence and visualization tools such as Looker, Tableau, Power BI, or similar platforms
  • Strong understanding of mobile app and performance marketing metrics, including LTV, ROAS, CAC, CPI, retention, and monetization
  • Experience with A/B testing, cohort analysis, and data-driven experimentation
  • Strong leadership and stakeholder management skills, with the ability to prioritize initiatives and align data strategies with business objectives
  • Excellent communication and decision-making skills, with the ability to translate technical findings into business recommendations
  • Excellent written and verbal communication skills in English
  • Proactive, strategic, and results-oriented mindset with a passion for digital products and continuous improvement

    • Responsibilities

  • Lead and manage the existing Data Team, overseeing team performance, daily operations, professional development, and resource allocation
  • Define the team's strategy, roadmap, and priorities in alignment with business objectives
  • Mentor and develop team members, conduct performance evaluations, and foster a collaborative, high-performing team culture
  • Oversee Data Analytics, Data Engineering, and Data Science initiatives, ensuring scalable, reliable, and business-oriented data solutions
  • Take ownership of the end-to-end data lifecycle, from data collection and integration to advanced analytics and actionable insights
  • Build robust data pipelines around subscription lifecycle events (renewals, cancellations, refunds, grace periods) to ensure unified cohort LTV modeling
  • Lead the development and optimization of data pipelines, ETL/ELT processes, and data warehouse solutions
  • Ensure data accuracy, integrity, accessibility, and consistency across data sources and reporting systems
  • Drive performance marketing and product analytics initiatives across our global mobile app portfolio
  • Analyze key business metrics, including user acquisition, retention, engagement, LTV, ROAS, and monetization, to identify growth opportunities
  • Ingest raw MMP and product analytics event streams into the central data warehouse (e.g., BigQuery/Snowflake) to construct unified attribution and ROAS models
  • Lead advanced analytical initiatives, including A/B testing, cohort analysis, forecasting, and predictive modeling
  • Develop and improve automated dashboards, KPI frameworks, and reporting processes to support strategic decision-making
  • Proactively identify business opportunities and translate complex data into actionable recommendations, going beyond traditional reporting
  • Collaborate closely with Product, Marketing, User Acquisition, and Engineering teams to solve business challenges and improve product performance
  • Identify opportunities to enhance data infrastructure, automate processes, and improve operational efficiency
  • Communicate data-driven insights, strategic recommendations, and business impact to senior management and key stakeholders

    • Working at Lyrebird

  • You will be working in one of the best and first mobile product company in Turkey, working on a global level and recognized internationally.
  • Flat hierarchies and short decision-making procedures; we live the well-known start-up atmosphere – you’ll find the direct contact person for any matter easily within reach
  • Taking responsibility from day one, improve your skills and learning continuously
  • An absolute sense of unity; together we are aiming for the same goal – you’ll be part of the company's success
  • Fast-paced environment with a tight-knit and collaborative culture

    • Skills

    A/b TestingBigQueryCohort AnalysisData ModelingData PipelinesData WarehousingETL/ELTKPI DevelopmentLookerLTVPower BIPredictive ModelingPythonRedshiftROASSnowflakeSQLStatistical AnalysisTableau

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