Data Analyst

Required Qualifications

• 10+ years of experience in data science, marketing analytics, or applied measurement, with 4+ years directly managing and developing data scientists.
• Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Experience at a high-growth Indian consumer tech company
• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You develop high-performing teams, not just high-performing models
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships and make distributed teams work effectively
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back
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Link to apply - https://tally.so/r/wv0lEA

Key Responsibilities:

1. Software Development:

• Design, implement, and optimise clean, scalable, and reliable code across [backend/frontend/full-stack] systems.
• Contribute to the development of micro services, APIs, or UI components as per the project requirements.

1. System Architecture:

• Collaborate and design and enhance system architecture.
• Analyse and identify opportunities for performance improvements and scalability.

1. Code Reviews and Mentorship:

• Conduct thorough code reviews to ensure code quality, maintainability, and adherence to best practices.
• Mentor and support junior developers, fostering a culture of learning and growth.

1. Agile Collaboration:

• Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives.
• Collaborate with Carbon Science, Designer, and other stakeholders to translate requirements into technical solutions.

1. Problem-Solving:

• Investigate, troubleshoot, and resolve complex issues in production and development environments.
• Contribute to incident management and root cause analysis to improve system reliability.

1. Continuous Improvement:

• Stay up-to-date with emerging technologies and industry trends.
• Propose and implement improvements to existing codebases, tools, and development processes.

Qualifications:

Must-Have:

• Experience: 2–5 years of professional software development experience in [specify languages/tools, e.g., Java, Python, JavaScript, etc.].
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Technical Skills:
• Strong proficiency in [programming languages/frameworks/tools].
• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of version control tools (e.g., Git) and CI/CD pipelines.
• Understanding of data structures, algorithms, and system design principles.

Nice-to-Have:

• Experience with containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Knowledge of database technologies (SQL and NoSQL).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple priorities effectively.

Excellent C, C++, design skills with multithreading

Experience on Network Programming with Sockets, TCP/IP protocols (TCP, UDP, DNS, DHCP etc.) and application layer protocols like SNMP, HTTP/S, FTP, IPP, LPR, WSD

Ability to study and analyze network packets

iOS Developer:

1+ years of experience in iOS mobile application development

• Proficient with Swift and Cocoa Touch
• Experience with iOS frameworks such as Core Data, Core Animation, Core Location etc
• Experience in Design patterns such as POP, MVVM, CleanSwift, Facade
• Familiarity with RESTful APIs to connect iOS applications to back-end services
• Familiarity with cloud message APIs and push notifications
• Understanding of Apple's design principles and interface guidelines
• Ensure the performance, quality, and responsiveness of applications
• Experience with offline storage, threading, and performance tuning
• Understanding of the full mobile development life cycle
• Understanding of Git

Responsibilities

• Build and mentor the platform team at Checko.
• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• Must have design, development, testing, deployment of systems capable of handling massive amounts of requests with high reliability and scalability
• Must have strong command in writing production-level code in Java or Python including skills in debugging, performance analysis/optimization and memory usage optimization
• Must have worked with real-time web/mobile applications and event-driven architectures
• Must have experience working with relational and non-relational databases and understanding their data models and performance tradeoffs.
• Must have solid engineering principles and a clear understanding of data structures and algorithms
• Should have knowledge of service-oriented architecture, caching techniques, micro-services, and distributed systems
• Should have basic understanding of C++/reactJS/Angular/Node

Desired Skills and Experience

Algorithms, debugging, performance optimization on low-end processors, data structures, REST, service-oriented architecture.