Analytics Engineer

• Streamlining operations, reducing costs, and enhancing efficiency through managed services
• Managing and optimizing managed services processes
• Leading project management efforts
• Developing and implementing automation frameworks
• Collaborating with delivery teams
• Designing and executing business process improvements
• Supporting the development of operational strategies

Senior Associate, Data Engineer – Analytics as Service

• Design, build, and operate scalable Extract, Transform, Load / Extract, Load, Transform (ETL/ELT) data pipelines (batch and real-time) to ingest, transform, and load data from multiple sources.
• Engineer and maintain data platforms (data lakes and data warehouses) with strong reliability, availability, and operational resilience.
• Implement system integrations using Application Programming Interfaces (APIs), streaming, and enterprise data integration tools to ensure consistent end-to-end data flows.
• Apply Apache Spark / Python for Spark (Spark/PySpark) and advanced Structured Query Language (SQL) for large-scale processing, optimization, and perform data transformations.
• Embed data quality, governance, security, and regulatory controls across pipelines and datasets.
• Enable development and operations (DevOps) for data through Continuous Integration / Continuous Delivery (CI/CD), orchestration and scheduling, monitoring, troubleshooting, and production support.
• Hands-on expertise in Prophecy pipeline development and deployment, PySpark analysis, and PySpark pipeline engineering (build and release), alongside strong core software engineering fundamentals.

Data Engineer, Data Analyst

• Lead Test Engineers is responsible for developing test strategy, plan, assessing the quality of specifications and technical design documents in order to ensure timely, relevant and meaningful feedback.
• They are involved in planning and implementing strategies, leading a team, managing defect uncovered, reporting on progress and obtaining sign-off for quality management and testing.

QA ETL Test Engineer

• Supporting the transition and management of outsourced services to enhance client operations
• Engaging in project management tasks to streamline processes and improve efficiency
• Utilizing automation frameworks to design and develop solutions for process optimization
• Collaborating with delivery teams to manage performance and mitigate delivery risks
• Participating in continuous improvement initiatives to optimize managed services tools and processes
• Gathering and analyzing data to inform process improvement and business transformation efforts
• Assisting in the development and execution of service delivery plans to meet client expectations
• Applying technical skills in automation and process improvement to drive operational excellence
• Building and maintaining relationships with stakeholders to facilitate effective service management
• Contributing to the development of strategies for operational performance management and risk documentation

BI Engineer – Associate, Analytics as Services

• Design, develop, and maintain advanced Power BI data models, dashboards, and reports for integrated business analytics
• Build and optimize semantic models with a focus on performance tuning and efficient DAX implementation
• Develop data collection tools using Power Apps and workflow automations using Power Automate and Python
• Design and implement Python-based data automation pipelines
• Perform data extraction, transformation, and loading (ETL) from multiple sources including SAP, SharePoint, and other enterprise systems or cloud storage services
• Develop and deliver integrated analytics solutions leveraging prior team frameworks and reusable components
• Collaborate with cross-functional stakeholders to translate business requirements into analytical solutions
• Monitor and sustain existing solutions, troubleshoot issues, and enhance performance and usability (approx. 30% of role)
• Lead or collaborate on new development initiatives with short project cycles (1–2 months, approx. 70% of role)
• Ensure data quality, integrity, and proper data governance across solutions
• Maintain clear documentation of datasets, models, and workflows

Business Analytics Engineer

• Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions.
• You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration.
• As a Data Engineer- Associate- Analytics as Service - Operate, you will play a pivotal role in supporting clients by streamlining operations, reducing costs, and enhancing efficiency through managed services.
• Within our Managed Services practice, you will focus on transitioning and running services, managing delivery teams, and optimizing processes to deliver value to clients.
• You will be exposed to clients, learning how to build meaningful connections and manage diverse perspectives, while growing your personal brand and technical skills.
• You will navigate complex situations, embracing challenges as opportunities for growth, and applying a learning mindset to enhance your potential.

Data Engineer – Associate, Analytics as Service

• Supporting managed services by optimizing processes and tools to enhance client operations
• Conducting in-depth analyses to identify opportunities for process improvement and cost reduction
• Managing delivery teams and programs to maintain operational excellence and meet client expectations
• Designing and implementing automation frameworks to streamline service delivery and improve efficiency
• Engaging with stakeholders to gather requirements and provide specialized advice on service management strategies
• Utilizing project management skills to plan and execute service transitions and continuous improvement initiatives
• Monitoring operational performance and documenting risks to validate timely delivery of services
• Collaborating with cross-functional teams to drive business transformation and digital innovation within managed services

BI Engineer – Specialist, Analytics as Services

• Supporting client engagement by contributing to managed services projects and initiatives
• Applying project management skills to streamline operations and optimize processes for clients
• Utilizing automation frameworks to enhance service delivery and operational performance
• Engaging in continuous process improvement to drive efficiency and reduce costs
• Collaborating with delivery teams to manage service transitions and performance risks
• Developing and implementing business process automation solutions to improve workflow
• Participating in stakeholder engagement to gather insights and inform service strategies
• Analyzing data to identify patterns and inform process optimization efforts
• Adapting to diverse client needs and challenges in a fast-paced environment
• Building a personal brand by consistently delivering quality work and taking ownership of tasks

Qlikview BI Engineer – Associate, Analytics as Services

• Getting the requirement from the stakeholders and be able to seek clarification up to lowest detail.
• Planning & execution / develop ETL scripts using Informatica.
• Highlight / escalate risks / concerns w.r.t to the tasks assigned as needed to the immediate supervisor
• Perform unit testing of the ETL processed to ensure quality of work output
• Supporting project delivery teams in their effort to adopt and execute on data management processes.
• Identifying and manage the resolution of data quality issues, such as uniqueness, integrity, accuracy, consistency, and completeness in a cost-effective and timely fashion.
• Performing the production support role for any escalations on a rotational basis.

Senior ETL Developer, Data Management

• Assist the Property Valuation team by consolidating and managing large datasets related to tangible building assets using various tools (i.e. Origami) and techniques
• Support in timely completion of all allocated Requests for Quotations (RFQs) and proposal (includes pricing, fee calculation and SOW)
• Collaborate closely with Property Valuers to provide technical and analytical support, ensuring valuation accuracy and consistency
• Utilize CoreLogic and other subscribed valuation tools/software to support data analysis and asset valuation processes
• Provide insurance valuation specific technical guidance and mentoring to junior staff members (as the team grows)
• Establish a robust governance framework ensuring strong engagement and timely communication to all the stakeholders
• Contribute to project management activities, including tracking progress, coordinating tasks, and supporting timely delivery of valuation projects
• Participate in training programs focused on financial valuations and Origami software to enhance technical expertise
• Maintain up-to-date knowledge of valuation standards and best practices
• Create a repository of important documents in a shared space for easy access and decision making.

Lead Specialist – Data Analytics, Insight

• Design, Develop and maintain Business Translation Layer (BTL) pipelines using SQL/DBT in Azure Databricks
• Create build from Github and release pipeline and Databricks using Azure Devops / Harness
• Monitor Performance of BTL Jobs, resolve any issues and improve the performance metrics as needed.
• Diagnose system performance issue related to data processing and implement solution to address
• Collaborate with other teams to ensure successful integration of data pipelines into larger system architecture requirement.
• Maintain integrity and quality across all pipelines and environments.
• Understand and follow secure coding practice to make sure code is not vulnerable

Data Engineer, BTL/ETL, SQL, DBT, Azure, Databricks

• Design, build, and maintain scalable data pipelines using Fivetran to ingest data from Salesforce, ERP, and other business systems into Snowflake.
• Own the data transformation layer between raw ingested sources and analytics-ready datasets, ensuring models are clean, tested, documented, and aligned to Finance and GTM reporting needs.
• Build and maintain Tableau dashboards and reporting assets to track key financial and go-to-market metrics, including pipeline coverage, ARR/NRR, revenue retention, quota attainment, and other GTM activities.
• Partner with Finance and cross-functional stakeholders to translate business questions into data models, metrics definitions, and dashboard solutions.
• Validate data accuracy and reconcile financial and operational metrics across source systems (CRM, ERP, and other systems of record) and the Snowflake data warehouse.
• Manage data warehouse objects in Snowflake, including schema design, virtual warehouse configuration, role-based access controls, and query optimization.
• Define and enforce KPI definitions, data source documentation, and metric governance to drive consistent reporting across Finance and GTM teams.
• Analyze customer, revenue, and product usage data to surface trends related to growth, churn, expansion, pricing, and performance.
• Continuously improve analytics workflows, documentation standards, and self-service reporting capabilities to scale insight delivery across the organization.

Business Intelligence Data Analytics Engineer, Snowflake, Fivetran

• Supporting client engagement and project tasks within managed services to streamline operations and enhance efficiency
• Applying project management skills to transition and run services, focusing on continuous improvement and optimization
• Utilizing automation frameworks and tools to design and develop solutions that improve process performance
• Engaging in business process improvement initiatives to reduce costs and optimize workflows
• Collaborating with delivery teams to manage service levels and performance, confirming timely delivery of solutions
• Conducting process performance analysis to identify opportunities for operational excellence and risk management
• Participating in stakeholder engagement activities to gather insights and inform service delivery strategies
• Developing commercial awareness and understanding of business operations to drive value for clients

Data Engineer – Associate, Analytics

• Managing and optimizing managed services processes to enhance client operations and efficiency
• Leading the transition and execution of service delivery teams, confirming alignment with client objectives
• Utilizing project management skills to oversee delivery timelines and manage performance risks
• Implementing continuous improvement strategies to refine tools and services within managed services
• Developing and maintaining client relationships to understand and anticipate their needs
• Applying analytical thinking to interpret data and provide actionable insights and recommendations
• Designing and developing automation frameworks to streamline business processes
• Collaborating with stakeholders to identify opportunities for business process improvement and transformation
• Upholding professional and technical standards in line with firm guidelines and client expectations
• Mentoring junior team members to foster growth and enhance team capabilities

Senior ML Ops Engineer – LLM Ops, Analytics as Service, Consulting

• Responsible for transforming raw data into clean, reliable, and well-documented models that power analytics.
• Design, build, and maintain transformation layers in dbt, following best practices for data modeling.
• Own the semantic and metrics layer, defining governed, version-controlled business metrics.
• Partner with BI developers to expose trusted datasets through BI tools.
• Build and maintain documentation, data dictionaries, and lineage for stakeholders.
• Own end-to-end data validation by building automated tests into the transformation workflow.
• Collaborate on operationalizing analytics within services such as Snowflake Cortex and Databricks AI.
• Mentor junior analysts and engineers in SQL and dbt best practices.

Senior Analytics Engineer

• Collaborate with developers, analysts, and business partners to design data solutions based on best practices.
• Manage SQL Databases but not limited and can extend to NoSQL/Cloud Database as applicable.
• Perform scheduled maintenance and support deployment activities as required.
• Automate manual data tasks through workflows and ETL packages.
• Analyze data quality and make recommendations for data preparation.
• Follow guidance from senior team members to plan, deploy, and maintain critical data solutions.
• Perform system monitoring and technical support.
• Installing and configuring SQL Server, applying patches and fixes and monitoring, troubleshooting, and optimizing performance.
• Creating backup plans, developing, and testing disaster recovery scenarios, managing security, server sizing, and performance tuning.

ETL Developer

• Leading the transition and management of outsourced services to optimize client operations
• Guiding delivery teams in project planning, budgeting, and execution to meet client expectations
• Utilizing automation and process optimization techniques to enhance service delivery
• Developing and implementing strategies for continuous improvement in managed services
• Analyzing system components to identify interactions and improve operational performance
• Mentoring team members to leverage their strengths and foster professional growth
• Engaging in strategic questioning to identify opportunities for business transformation
• Collaborating with stakeholders to address conflicts and facilitate effective communication
• Upholding professional and technical standards in alignment with organizational values
• Promoting the use of innovative technologies to drive data, analytics, and AI solutions

Qlikview BI Engineer – Manager, Analytics as Services

• Developing and implementing automation frameworks to enhance operational efficiency
• Designing and optimizing business process automation solutions to improve service delivery
• Managing stakeholder engagement to align project objectives with client expectations
• Analyzing operational performance data to identify areas for process improvement
• Collaborating with teams to deliver timely and effective project outcomes

Senior BI Data Professional – Snowflake Developer, Data Analytics

• Supporting client engagement and project tasks within managed services to streamline operations and enhance efficiency
• Applying project management skills to transition and run services, focusing on delivery excellence and risk management
• Utilizing automation solutions and business process improvement techniques to optimize service delivery
• Engaging in continuous process improvement to refine managed services tools and methodologies
• Collaborating with delivery teams to manage performance and address operational challenges
• Participating in stakeholder engagement to gather insights and inform service strategies
• Implementing workflow automation to improve process performance and timely delivery
• Conducting process performance analysis to identify opportunities for business transformation and operational excellence
• Developing a learning mindset to adapt to diverse client needs and contribute to team success

Qlikview BI Engineer – Associate

• Managing and optimizing managed services processes to enhance client operations and efficiency
• Leading project management efforts to streamline service delivery and minimize operational risks
• Developing and implementing automation solutions to improve process performance and reduce costs
• Collaborating with delivery teams to validate timely and effective service management and client support
• Utilizing analytical thinking to interpret data and provide actionable insights and recommendations
• Engaging in continuous process improvement initiatives to drive operational excellence and service quality
• Building and maintaining meaningful client relationships to understand and anticipate their needs
• Mentoring junior team members to foster professional growth and enhance team capabilities

Analytics Engineer jobs in India

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