• Understand stakeholder data needs across Ops, Finance, and the GTM org, including Sales, Marketing, BDR, and Customer Success, and translate those needs into clear technical requirements. • Define, build, and manage key data pipelines in dbt that transform raw data into canonical datasets. • Use AI tools, LLMs, and agents to accelerate analytics workflows, including data exploration, pipeline development, QA, documentation, dashboard creation, and stakeholder enablement. • Read, write, debug, and validate SQL, Python, dbt models, and AI-generated code to ensure outputs are accurate, reliable, and production-ready. • Establish high data integrity standards, SLAs, and QA processes to ensure timely and accurate data delivery. • Develop reliable dashboards to track core business, GTM, and operational metrics. • Build foundational data products, dashboards, automations, and internal tools that enable self-serve analytics across the company. • Bring a strong point of view on build vs. buy decisions across the GTM data stack, identifying where Oscilar should use off-the-shelf tools versus where we should build internally for speed, leverage, or differentiation. • Partner with GTM and Finance leaders to influence roadmap decisions from a data systems and analytics perspective. • Become an expert in Oscilar’s data models, business metrics, GTM systems, and broader data architecture. • Help shape a modern, AI-native analytics engineering function as Oscilar scales.

Role Description The Data Analyst / Analytics Engineer will partner with the SVP of Data & Product Analytics to deliver production-ready reporting assets across Global Analytics Platforms. - Build and maintain Power BI dashboards for colleagues and leadership audiences. - Write reporting requirements for specific dashboards and analytics use cases. - Define report-level measures and documentation. - Run data quality checks for reporting. - Improve reporting reliability by tracking dataset readiness. - Build Databricks notebooks for SQL-based analysis and ad-hoc reporting. Qualifications - 3–5 years in a data analyst, analytics engineer, or BI developer role. - SQL complex queries, joins, and aggregations without assistance. - Power BI (preferred) or other data visualization tool experience. - Databricks experience with SQL endpoints or notebook-based analytics. - Strong documentation skills for non-technical stakeholders. - Understanding of data warehousing concepts. Requirements - Python: working knowledge sufficient for notebook-based data manipulation (nice to have). - Familiarity with data governance concepts (nice to have). - Experience in financial services, insurance, or actuarial data environments (nice to have). Benefits - Remote work flexibility. - Opportunity to work with a leading reinsurance business. - Engagement with a diverse team across global locations. Company Description Zensar is committed to conceptualizing, designing, engineering, marketing, and managing digital solutions for over 130 leading enterprises. We are part of the $4.8 billion RPG Group, with a community of 10,000+ innovators across 30+ global locations. - Core values: One Zensar, Nurturing, Empowering, and Client Focus. - Commitment to creating an inclusive workplace.

• Data Products: Design and implement scalable data models (Silver/Gold layers), treating datasets as internal products with a strong focus on usability • Engineering: Develop robust pipelines using software engineering best practices (versioning, modularization, and CI/CD). • Governance: Establish and monitor quality standards, lineage, and data cataloging, acting as the guardian of the "single source of truth". • Democratization: Advance the Self-Service Analytics ecosystem by creating semantic layers that reduce business teams' technical dependencies. • Discovery: Operate at the intersection of Data Engineering and Business, translating complex questions into solid, viable data architectures. • Evangelization: Promote a data-driven culture and data literacy, empowering colleagues to use information efficiently and apply good analytical practices.

Role Description We are looking for an Analytics Engineer to help scale the "engine" behind our business intelligence — at a moment when that engine is expanding its mandate. - Partner with data and engineering teams, as well as backend engineers, Sales/RevOps, Marketing, and Product and AI Engineering stakeholders. - Build reliable, high-performance pipelines while contributing to ingestion, orchestration, and LLM-powered classification workflows. - Opportunity to shape and own the role as the BI team evolves into an Analytics & Data Intelligence function. Qualifications - Significant experience building and managing complex dbt projects. - Deep experience with Google BigQuery (or similar cloud warehouses). - Proficient in SQL and Python, with the ability (or strong interest) to work with Go. - Disciplined about documentation, data contracts, and establishing clear lineage. - Experience with Airflow and containerization (Docker) is a significant plus. - Excited about using modern tools (like BQML or Vertex AI) for automation. - Strong communicator who enjoys partnering with cross-functional stakeholders. Requirements - Build modular, well-tested SQL models using dbt. - Maintain and optimize custom ingestion workflows and orchestration. - Implement internal automation workflows that leverage LLMs for data classification. - Own the "Reverse ETL" flows that push critical business signals back into GTM tools. - Contribute to engineering culture through code reviews and documentation. Benefits - Private life and health insurance plan. - Fully remote work if preferred, apart from team meetings a few times per year. - Your personal annual training budget. - An annual home office allowance to set up your personal space. - Company laptop. - 23 days of paid time off. - 3 early summer Fridays in July and August. - Access to AI tools at work. - A free LearnWorlds School to build and sell your own courses. - Work in one of the globally top 5 e-learning courses platforms. - An opportunity to grow alongside us and shape the look and feel of tomorrow's e-learning. - An entrepreneurial, international, and highly motivated team with a flat hierarchy. - Annual company retreats.