Data Engineer III - Experience Analytics

The next part of your journey is right around the corner — with Standard India

A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams across the nation, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture, focused on operational excellence, thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?

Job Summary

The Data Engineer is a key member of the Total Experience Team responsible for designing, building, and maintaining the data pipelines, models, and platform capabilities that power experience analytics across the enterprise. This role enables seamless access to trustworthy, scalable data that supports insights, measurement, and decision‑making. The Engineer partners closely with Total Experience, Product, Data, AI, and business stakeholders to ensure data is structured, governed, and delivered in ways that illuminate experience drivers, unlock opportunities, and inform prioritization.

In this role, you will help stand up and scale our digital experience analytics capability, including configuration and data modeling in tools like Google Analytics (GA4) and Fullstory, so we can translate customer behavior into insights that clarify what’s working, where users experience friction, and what stakeholders should prioritize.

Key Responsibilities

• Configure and administer digital analytics tools (e.g., Google Analytics 4 (GA4) and Fullstory), including events/properties, definitions, governance, and access management.
• Build and maintain a consistent behavioral/event data model and taxonomy so reporting and insights are comparable across products and journeys.
• Perform instrumentation QA and validation to ensure data integrity and completeness (e.g., troubleshooting tracking, validating event payloads, and resolving discrepancies).
• Maintain clear documentation (event dictionary, tracking specs, definitions, and basic runbooks) to support consistent implementation and self‑service analytics.
• Designs, builds, and maintains reliable, scalable data models and pipelines that integrate experience analytics, product telemetry, qualitative feedback, and operational data sources, and enable future AI-driven analysis of behavioral and experience data.
• Develops data models and transformations that enable end‑to‑end visibility into customer journeys, experience quality, and value streams.
• Implements automated data quality checks, observability frameworks, and monitoring to ensure completeness, accuracy, and consistency of experience‑level data.
• Partners with CX, analysts, UX teams, product managers, business, operations, and engineering to understand data needs and translate them into robust data engineering solutions.
• Collaborates with Data and AI partners to ensure upstream and downstream dependencies—including events, telemetry, and behavioral data—are well‑defined and operationally sound.
• Supports program and product backlogs by identifying data gaps, dependencies, risks, and technical requirements that influence prioritization.
• Ensures data engineering solutions enable measurable experience outcomes and support the definition of success metrics rooted in customer behavior and system performance.
• Participates in PI and iteration planning to align data engineering work with team commitments, milestones, and cross‑team deliverables.
• Optimizes data storage, processing patterns, and platform performance to ensure analytics workloads are efficient, cost‑effective, and scalable.
• Maintains strong documentation, including data flows, pipeline logic, validation rules, and operational runbooks that support transparency and continuity.
• Ability to work on‑site in Bengaluru, India is required.

Mode of Working This role follows a hybrid work model with a primary base in Bengaluru. On‑site presence is essential for key engagements, with flexibility for remote work based on business needs and team alignment.

Skills and Background You’ll Need

Education: B.Tech / B.E. in Computer Science, IT, or Software Engineering (preferably with MIS specialization) is required.

Experience

• 4+ years of experience with the following:
• Proficiency in modern analytics/data languages and frameworks (e.g., Python, SQL, dbt, or equivalent).
• Strong understanding of event‑based/behavioral data, telemetry concepts, and ETL/ELT patterns to support digital experience analytics.
• Experience with data modeling, schema design, and structuring data for analytics and reporting use cases (including event taxonomies and definitions).
• Familiarity with instrumentation QA, data quality frameworks, observability tooling, and automated validation techniques.
• Exposure to analytics, product telemetry, or customer experience data is strongly preferred.
• Exceptional communication and collaboration skills with the ability to work across technical and non‑technical teams.
• Strong analytical mindset with the ability to break down complex problems into clear, actionable solutions.
• Hands‑on experience implementing or administering Google Analytics 4 (GA4) (events, parameters, definitions, governance).
• Experience with similar tools and the ability to ramp quickly is highly valued.
• Ability to manage competing priorities while maintaining high standards for accuracy, performance, and reliability.

Additional Preferred Experience

• Experience supporting UX, CX, marketing, product analytics, or experience analytics teams.
• Familiarity with experimentation platforms, A/B testing, or model‑driven analytics.
• Familiarity with applying AI-enabled analytics techniques to large-scale behavioral, telemetry, or customer experience data is a plus.
• Background in designing data systems that support measurement frameworks, KPIs, and customer journey analytics.
• Experience with Fullstory (sessions, events, properties, governance) or similar digital experience analytics tools.
• Experience with “big data” stacks and orchestration (e.g., Spark/Scala, Databricks, Airflow) and/or cloud data platforms (AWS/Azure/GCP) if relevant to the environment.

Key Behaviors of a Successful Candidate

• Curiosity – consistently seeks deeper understanding of user behavior, experience data patterns, and root‑cause relationships.
• Resourcefulness – gathers input from varied data sources and partners across the value stream to fully understand impacts.
• Cross‑Team Agility – effectively navigates organizational structures and collaborates across teams to acquire needed insights.
• Thoroughness – approaches experience discovery with rigor, combining qualitative and quantitative evidence.
• Judgment – knows when sufficient insight has been gathered to progress work and avoids analysis paralysis.

Why Join Standard India?

We Have Built An Enduring Legacy Of Stability, Financial Strength And Exceptional Customer Service Through The Contributions Of The Service-oriented People Who Choose To Work At The Standard. To Ensure We Can Attract And Retain The Best Talent, When You Join StanCorp Global Services You Can Expect

• A rich benefits package that supports your health, well-being, and financial goals
• An annual incentive bonus plan tied to both individual and organizational performance
• Paid time off including earned leave, sick/casual leave, and public holidays, in accordance with the company’s leave policy
• A supportive, responsive management approach that empowers you to grow
• Opportunities for career advancement through learning, coaching, and leadership enablement
• A culture where your voice matters—your ideas shape our future, and we win as one
• Purpose-driven work that makes a difference for our customers, communities, and each other

In addition to a competitive salary, our employee-focused benefits are designed to support work-life balance, personal growth, and long-term impact.

Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance.

StanCorp Global Services India Private Limited is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, disability, caste, HIV status or any other characteristic protected by applicable laws of India.