CellPoint Digital
Posted 4mo ago

Analytics Engineer

CellPoint Digital
India
RemoteFull Time
Responsibilities
  • own data
  • define metrics
  • build models
Requirements
  • No explicit requirements listed in the description
Technical tools mentioned
OpenAI CodexCursorClaude

Job description

Join CellPoint Digital: Shape the Future of Payments with Us!


At CellPoint Digital, we’re revolutionizing the way businesses in the air, travel, and hospitality sectors manage their payments. 


With our Leading Payment Orchestration Platform, we’re turning payments into a strategic advantage, helping clients optimize their payment experience to boost profits, maximize approvals, lower costs and take control of their payment, resulting in more money to the bottom line.


We believe payments should be a strategic asset, delivering financial, customer, and operational value. Our vision is to unify the payment ecosystem, opening up a world of opportunities for leading brands in the air, travel, and hospitality industries. We transform the payment supply chain from a cost center into a profit engine, turning every transaction into an opportunity for growth and competitive advantage.


At our core, we're innovators and problem-solvers united by five key values: Mission First, Ownership, Trust & Transparency, Driven, and One Team. We're ambitious professionals who embrace accountability and transform payments together.

Our diverse community spans the globe, with hubs in Copenhagen, Dallas, Dubai, London, Miami, Pune, Buenos Aires, Bogota, Mexico, and Singapore, along with remote team members worldwide. We celebrate the unique perspectives and experiences that make our team extraordinary.

Join us as an Analytics Engineer (Payments / Orchestration) on our mission to turn payments into possibilities!


Analytics Engineer (Payments / Orchestration)

You will own the company’s source of truth for payments data.

This role is responsible for transforming raw transaction events into trusted metrics, actionable insights, and merchant-facing reporting that directly improve authorization rates and routing performance.

This is not a dashboard-building role.


You will define how the business measures performance, identifies problems, and makes decisions.

We are a high-velocity team. You are expected to leverage AI tools to accelerate development, analysis, and problem-solving.

How You Will Make an Impact:

  • Create a single source of truth for payments performance

    • Define and standardize metrics across transactions, routing, declines, and retries

    • Eliminate inconsistencies and ensure the organization operates on aligned KPIs

  • Build the foundation for all analytics and reporting

    • Develop scalable, well-structured data models that power internal and external reporting

    • Enable faster, more reliable access to critical business data

  • Increase trust in data across the organization

    • Implement testing, monitoring, and alerting to ensure data accuracy and reliability

    • Reduce time spent questioning data and increase time spent acting on it

  • Drive measurable improvements in authorization rates

    • Identify root causes of declines and quantify their business impact

    • Influence routing and retry strategies with data-backed recommendations

  • Deliver insights that improve merchant performance

    • Provide clear, actionable reporting that helps merchants understand and optimize their payment outcomes

  • Raise the bar on team velocity and execution

    • Apply AI tools to accelerate analysis, modeling, and problem-solving

    • Set a standard for speed and quality in how data work gets done

Skills you will have fine-tuned:

  • Turning ambiguous problems into measurable metrics

    • Developing clear definitions for complex, high-stakes KPIs

    • Navigating tradeoffs and edge cases in metric design

  • Designing scalable data models

    • Structuring event-level data into reusable, intuitive datasets

    • Building semantic layers that support both technical and non-technical users

  • Building resilient data systems

    • Implementing data quality frameworks that prevent issues before they surface

    • Developing strong instincts for detecting anomalies and inconsistencies

  • Deep payments analytics expertise

    • Understanding how issuer behavior, routing logic, and retries impact authorization outcomes

    • Analyzing high-volume transaction data to uncover meaningful patterns

  • Communicating insights that drive decisions

    • Translating complex data into clear narratives for stakeholders

    • Framing recommendations in terms of business impact

  • AI-native ways of working

    • Integrating tools like OpenAI Codex, Cursor, and Claude into daily workflows

    • Continuously refining how to use AI to increase speed, depth, and quality of work

  • You appreciate working with managed services and serverless architecture

  • You naturally pay attention to detail

  • You are eager to bring your unique talents and authenticity to the CellPoint Digital community

  • You're constantly curious and a lifelong learner

  • You approach challenges with a solution-oriented mindset

What's in it for you:

  • We offer you the opportunity to be an innovator, challenge the status quo, and redefine the payments category

  • Competitive salary in a fast-growing start-up

  • Medical insurance with coverage for dependents (parents, spouse, children)

  • Rewards & Recognition system

  • Opportunity for personal and professional growth in a dynamic industry 

What makes CellPoint Digital a leader in the payment landscape isn’t just our technology - it’s our people and how we work together. We’ve built a global community where diverse talents and perspectives unite to create innovative solutions. 

When you join us, you become part of something bigger: a collaborative culture that crosses borders and disciplines, bringing out the best in every team member to deliver breakthrough results for our clients and partners.  

Together, we are transforming the payments industry - challenging, supporting, and inspiring one another in the process.

Please note, we retain applicant data for 12 months for recruitment purposes and future opportunities, after which it is securely deleted. At CellPoint Digital we are committed to be globally compliant with robust data protection.


About CellPoint Digital

Payment orchestration platform for the travel and hospitality industry.

Year founded
2007
Employees
200
Organization type
Private
Latest investment
Raised $30.00M Series D (2024) — led by Penta Capital, Toscafund Asset Management
Headquarters
GB

Similar jobs

Analytics Engineer roles
22h
Save
Mark Applied
Hide
Snr Analytics Engineer
Noida or Gurgaon
OnsiteFull Time
Alight
AlightNYSE: ALIT: Provides cloud-based HR, payroll, and benefits administration services.
5+ YOERequires 5–8 years of analytics experience, expert SQL, data modeling expertise, AWS ecosystem knowledge, and a bachelor's degree in computer science, engineering, or a related field.
SQL, Redshift, AWS QuickSight, Tableau, Power BI, DynamoDB, AWS
2d
Save
Mark Applied
Hide
Senior Analyst, Analytics Engineer
Mumbai, Maharashtra, India
HybridFull Time
Colgate-Palmolive
Colgate-PalmoliveNYSE: CL: Manufactures and sells oral, personal, home, and pet care.
2+ YOEBachelor’s degree in a related field and 2+ years of analytics or data engineering experience. Requires Python, SQL, visualization, database, and version-control experience; dbt and Snowflake are optional.
Python, SQL, dbt, Snowflake, Sigma, Tableau, Domo, Git, GitHub, FinOps, GitHub Actions, Selenium
4d
Save
Mark Applied
Hide
Senior Analytics Engineer
Hyderabad, Telangana, India
OnsiteFull Time
Bristol Myers Squibb
Bristol Myers SquibbNew York Stock Exchange: BMY: Develops and distributes innovative medicines for serious diseases.
6+ YOEBachelor's or master's degree or equivalent experience; 6+ years in analytics or data engineering; expert Databricks, Delta Lake, data modeling, AWS, SQL, and Python experience; mentoring and stakeholder communication required.
Databricks, Delta Lake, dbt, AWS, Amazon S3, IAM, AWS Glue, AWS Lambda, SQL, Python, Apache Airflow, Git, Tableau, Power BI, Microsoft Unity Catalog
5d
Save
Mark Applied
Hide
Senior Analytics Engineer
Bangalore or Pune
OnsiteFull Time
Siemens
SiemensXETRA: SIE: Manufactures industrial automation, infrastructure, and energy technology systems.
University degree in a quantitative field; extensive data engineering and warehousing experience; expert SQL, dbt, and Snowflake skills; cloud, Python, ingestion-tool, and agile development experience.
SnapLogic, Confluent Cloud, Snowflake, SQL, dbt, Python, AWS, GCP, Azure
5d
Save
Mark Applied
Hide
Staff Analytics Engineer
Bangalore, Karnataka, India
HybridFull Time
N-able
N-ableNYSE: NABL: Provides cloud-based IT management and cybersecurity software solutions.
8+ YOERequires 8+ years in analytics or data engineering, including 1+ year building semantic models or LLM-grounded analytics, with SQL, Python, Snowflake, semantic modeling, LLM evaluation, and data app experience.
SQL, Snowflake, Snowflake Semantic Views, dbt Semantic Layer, LookML, Cortex Analyst, Cortex Agents, Cortex Search, Python, Snowflake dynamic tables, Snowflake streams, Snowflake tasks, Snowpark, Git, CI/CD, automated testing, Snowflake Cortex Code, Claude Code, Monte Carlo, Streamlit, Tableau, Microsoft Power BI
5d
Save
Mark Applied
Hide
Lead Analytics Engineer Enterprise BI & Analytics
Chennai, Tamil Nadu, India
OnsiteFull Time
OneMagnify: Global agency providing AI-driven marketing and data technology solutions.
5+ YOERequires 5–7 years in data analysis or BI development, hands-on Power BI, DAX, Power Query, data modeling, advanced Excel, SQL, cloud data warehouses, and ELT tooling.
Microsoft Power BI, DAX, Power Query, HubSpot, Workday, Microsoft Excel, SQL, Python, pandas
5d
Save
Mark Applied
Hide
Staff Analytics Engineer - Data Analytics Team, Hyderabad
Hyderabad, Telangana, India
HybridFull Time
Warner Bros. Discovery
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
6+ YOEBachelor's, master's, or higher quantitative degree; 6+ years in business intelligence or data engineering; SQL, data warehousing, ETL/ELT, programming, big data, BI tools, Git, and CI/CD expertise.
SQL, Python, Java, Go, Spark, Kafka, Hive, Looker, Tableau, Git, CI/CD, Snowflake, Redshift, dbt, Databricks
1w
Save
Mark Applied
Hide
Sr Analytics Engineer
Bengaluru, Karnataka, India
HybridFull Time
GE Vernova
GE VernovaNYSE: GEV: Designs and services technologies for global power generation and electrification.
Bachelor's degree in data science, computer science, or computer engineering, with significant data and analytics experience, database and ETL expertise, cloud familiarity, and programming skills.
Steam Data Lake, Tableau, Microsoft Power BI, PostgreSQL, Snowflake, Amazon Redshift, Databricks, AWS, Microsoft Azure, Talend, Informatica, Python, Scala, Java, SQL, Git