Data Analyst II - CX Analytics

ABOUT SINCH

Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch 's Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email.

Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey.

At Sinch we "Dream Big", "Win Together", "Keep it simple", and "Make it Happen". These values are our foundation!

DESCRIPTION

The Customer Experience Analytics (CXA) team is an enablement team: we sit between how product data is created and how it's consumed across the company. On the creation side, we help Product and Engineering teams define event schemas and taxonomy so that data is generated consistently and reliably from the source. On the consumption side, we help other teams use that data in a simple, self-service way. In between, we own data quality, governance, and monitoring — making sure data stays trustworthy from creation to consumption.

This is a mid-level role. We're not looking for someone who already has every tool or years of polished experience — we're looking for someone with solid analytical fundamentals who is genuinely motivated to learn, adapts quickly, and takes ownership of problems until they're resolved. You'll grow into the specifics of our stack; what matters most is how you think and how you work.

You'll work with global teams across time zones, partnering with Product Managers, Engineering Managers, Software Engineers, and Customer Success. Our stack today includes RudderStack, Snowflake, dbt, and Tableau, and we're migrating toward BigQuery and Looker — but familiarity with these specific tools is not a requirement (more on that below).

MAIN RESPONSIBILITIES

Data Quality & Schema Governance : Help define, document, and evolve event schemas and tracking plans. Monitor data quality end-to-end, investigate issues from a metric back to its source, and support the lifecycle process for new and deprecated events.

Self-Service Enablement : Build and maintain data models, dashboards, and documentation that let Product, Engineering, and other stakeholders answer their own questions without depending on our team for every request.

Pipeline & Data Modeling : Create and maintain clean, reliable, well-tested data models that other teams and downstream tools can depend on.

Behavioral & Customer Journey Analysis : Use SQL and product analytics tools to help map user behavior and the customer journey when it's needed to support a schema, quality, or enablement decision — this is part of the job, not the primary focus of it.

Cross-Team Collaboration : Act as a reliable point of contact for Product and Engineering teams on data definitions, event tracking questions, and governance decisions.

Data Culture : Train stakeholders to use self-serve analytics tools autonomously, and help spread good data practices across the organization.

REQUIREMENTS

Some experience in Data Analytics, Analytics Engineering, or a similar role — we care more about your ability to learn fast and take ownership than about years of experience.

Solid SQL fundamentals, with the ability to reason about schemas and data structure, not just write queries.

Comfortable learning new tools quickly; you don't need prior experience with our specific stack.

Strong ownership mindset: you take on problems, work through them independently, and know when and how to ask for help when you're stuck.

Genuine curiosity about data quality, taxonomy, and how data is structured "under the hood" — not just about the insights on top of it.

A bachelor's degree in a quantitative or business-related subject (e.g., Computer Science, Mathematics, Engineering, Economics, or similar) — or equivalent practical experience.

Advanced fluency in English, both verbal and written.

NICE TO HAVE Exposure to event-driven tracking, product event architecture, or Customer Data Platforms (e.g., RudderStack, Segment).

Hands-on experience with dbt, BigQuery, Looker and similar tools.

Experience mapping or analyzing the customer journey (funnels, retention, cohort analysis).

Experience working in a global company across multiple time zones.

Telecom, CPaaS, or B2B SaaS experience.

Advanced fluency in English, both verbal and written.

BENEFITS

Stay Healthy: We cover 100% of medical and dental plans for Sinch ers and eligible dependents through Bradesco Saúde.

Flexible Benefits: With the Caju flexible benefit card, our Sinch ers can choose to use benefits on food, education, and home office assistance.

Family First: Our Sinch ers can enjoy paid maternity leave for 180 days and paternity leave for 30 days. Plus, we provide daycare assistance for kids up to five years old.

Everyday Wellbeing: We partner with Wellhub to help Sinch ers access gyms and wellness options.

Secure Your Future: Our Partnership with Prudential life insurance provides coverage for all Sinch ers in the events of unexpected absences, serious illness, accidents, and disabilities.

• Diversity and Inclusion: We offer annual reimbursements for certain expenses related to disabilities and/or transgender needs.
• Take a Break: Our Sinch ers can take a day off on their birthday to celebrate with their loved ones.

OUR HIRING PROCESS

We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel.

We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: No matter who you are, we hope you find an exciting path forward - hopefully with us!

Originally posted on Himalayas