Quantium Analytics is a data science and analytics company that specializes in delivering insights and solutions through advanced analytics, machine learning, and artificial intelligence. They aim to empower organizations to make data-driven decisions.
Hyderabad
INR 6.0 - 9.0 Lacs P.A.
Work from Office
Full Time
Data Engineering Team As a Lead Data Engineer for India, you will be accountable for leading the technical aspects of product engineering by being hands on, working on the enhancement, maintenance and support of the product on which your team is working, within your technology area. You will be responsible for your own hands-on coding, provide the design thinking and design solutions, ensuring the quality of your teams output, representing your team in product-level technical forums and ensuring your team provides technical input to and aligns with the overall product road-map. How will you make an impact? You will work with Engineers in other technology areas to define the overall technical direction for the product on alignment with Groups technology roadmap, standards and frameworks, with product owners and business stakeholders to shape the product's delivery roadmap and with support teams to ensure its smooth operation. You will be accountable for the overall technical quality of the work produced by India that is in line with the expectation of the stakeholders, clients and Group. You will also be responsible for line management of your team of Engineers, ensuring that they perform to the expected levels and that their career development is fully supported. Key responsibilities o Produce Quality Code o Code follows team standards, is structured to ensure readability and maintainability and goes through review smoothly, even for complex changes o Designs respect best practices and are favourably reviewed by peers o Critical paths through code are covered by appropriate tests o High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies o Data updates are monitored and complete within SLA o Technical designs follow team and group standards and frameworks, is structured to ensure reusability, extensibility and maintainability and goes through review smoothly, even for complex changes o Designs respect best practices and are favourably reviewed by peers o High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies o Estimates are consistently challenging, but realistic o Most tasks are delivered within estimate o Complex or larger tasks are delivered autonomously o Sprint goals are consistently achieved o Demonstrate commitment to continuous improvement of squad activities o The product backlog is consistently well-groomed, with a responsible balance of new features and technical debt mitigation o Other Engineers in the Squad feel supported in their development o Direct reports have meaningful objectives recorded in Quantium's Performance Portal, and understand how those objectives relate to business strategy o Direct reports' career aspirations are understood / documented, with action plans in place to move towards those goals o Direct reports have regular catch-ups to discuss performance, career development and their ongoing happiness / engagement in their role o Any performance issues are identified, documented and agreed, with realistic remedial plans in place o Squad Collaboration o People Management o Produce Quality Technical Design o Operate at high level of productivity Key activities Build technical product/application engineering capability in the team by that is in line with the Groups technical roadmap, standards and frameworks Write polished code, aligned to team standards, including appropriate unit / integration tests Review code and test cases produced by others, to ensure changes satisfy the associated business requirement, follow best practices, and integrate with the existing code-base Provide constructive feedback to other team members on quality of code and test cases Collaborate with other Lead / Senior Engineers to produce high-level designs for larger pieces of work Validate technical designs and estimates produced by other team members Merge reviewed code into release branches, resolving any conflicts that arise, and periodically deploy updates to production and non-production environments Troubleshoot production problems and raise / prioritize bug tickets to resolve any issues Proactively monitor system health and act to report / resolve any issues Provide out of hours support for periodic ETL processes, ensuring SLAs are met Work with business stakeholders and other leads to define and estimate new epics Contribute to backlog refinement sessions, helping to break down each epic into a collection of smaller user stories that will deliver the overall feature Work closely with Product Owners to ensure the product backlog is prioritized to maximize business value and manage technical debt Lead work breakdown sessions to define the technical tasks required to implement each user story Contribute to sprint planning sessions, ensuring the team takes a realistic but challenging amount of work into each sprint and each team member will be productively occupied Contribute to the teams daily stand-up, highlighting any delays or impediments to progress and proposing mitigation for those issues Contribute to sprint review and sprint retro sessions, to maintain a culture of continuous improvement within the team Coach / mentor more junior Engineers to support their continuing development Set and periodically review delivery and development objectives for direct reports Identify each direct reports longer-term career objectives and, as far as possible, factor this into work assignments Hold fortnightly catch-ups with direct reports to review progress against objectives, assess engagement and give them the opportunity to raise concerns about the product or team Work through the annual performance review process for all team members Conduct technical interviews as necessary to recruit new Engineers The superpowers youll be bringing to the team: 8+ years of experience in design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP) or similar cloud platforms. 2. Strong experience with SQL 3. Values delivering high-quality, peer-reviewed, well-tested code 4. Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time 5. Knowledge of DevOps functions and to contribute to CI / CD pipelines 6. Strong knowledge of data warehousing and data modelling and techniques like dimensional modelling etc 7. Strong hands-on experience with BigQuery/Snowflake, Airflow/Argo, Dataflow, Data catalog, VertexAI, Pub/Sub etc or equivalent products in other cloud platforms 8. Solid grip over programming languages like Python or Scala 9. Hands on experience in manipulating SPARK at scale with true in-depth knowledge of SPARK API 10. Experience working with stakeholders and mentoring experience for juniors in the team is good to have 11. Recognized as a go-to person for high-level designs and estimations 12. Experience working with source control tools (GIT preferred) with good understanding of branching / merging strategies 13. Experience in Kubernetes and Azure will be an advantage 14. Understanding of GNU/Linux systems and Bash/scripting 15. Bachelors degree in Computer Science, Information Technology or a related discipline 16. Comfortable working in a fast moving, agile development environment 17. Excellent problem solving / analytical skills 18. Good written / verbal communication skills 19. Commercially aware, with the ability to work with a diverse range of stakeholders 20. Enthusiasm for coaching and mentoring junior engineers 21. Experience in lading teams, including line management responsibilities What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions but it also means you can think big, outside the box and push your problem-solving skills to the max. By joining the Quantium team, youll get to: Forge your path: So many of our team have moved around different teams or offices. Youll be in the drivers seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include: Flexible work arrangements : Achieve work life balance at your own pace with hybrid and flexible work arrangements. Continuous learning : Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. Remote working : Embrace the opportunity to work outside of your assigned home location for up to 2 months every year.
Hyderabad
INR 7.0 - 12.0 Lacs P.A.
Work from Office
Full Time
The Senior Data Scientist's primary responsibility is to lead the delivery of multiple analytics projects and tools within the Retail domain, ensuring high-quality analytical solutions while managing and mentoring junior team members. This role requires collaborating with stakeholders across multiple teams to transform complex business questions into actionable analytical solutions while maintaining technical excellence and commercial impact. How will you make an impact? Technical Leadership: Lead the analytics quality and delivery of key projects, ensuring alignment on outputs and timelines with stakeholders Data Analytics: Perform sophisticated data exploration and develop efficient code for complex data transformations Solution Design: Transform client questions into analytical solutions through project scoping and solution design Commercial Translation: Connect analytical outputs to business outcomes and communicate insights to both technical and non-technical audiences Team Development: Mentor junior team members and actively participate in knowledge sharing initiatives Process Excellence: Identify and implement improvements in analytical workflows and coding practices The superpowers youll be bringing to the team: Analytics Mastery: Over 4 years of experience in a highly technical analytics environment, with strong coding skills in SQL, Python, and Snowflake, and expertise in handling large datasets to solve commercial business problems. Commercial Insight: Strong commercial acumen to understand business needs and suggest impactful analytics solutions, with experience in transforming client questions into actionable insights. Leadership Excellence: Proven experience in supervising and leading teams as a senior team member, project manager, or team leader, with a strong track record of managing internal and external stakeholders in dynamic, deadline-driven environments. People Development: Passionate about people management, mentoring, and development, with a keen interest in fostering team growth and success. Educational Foundation: Strong academic background with tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline.
Hyderabad
INR 20.0 - 30.0 Lacs P.A.
Hybrid
Full Time
Role Summary We're seeking an experienced Cloud Security Engineer with strong expertise in Azure and GCP platforms. In this role, you'll work at the intersection of cybersecurity and cloud engineering, focusing on implementing security recommendations from Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) solutions. Key Responsibilities Analyze and prioritize security findings from CSPM and CNAPP tools across Azure, GCP and AWS environments Coordinate and execute remediation activities with cloud engineering teams to address identified vulnerabilities Lead the deployment, configuration, and maintenance of CSPM and CNAPP solutions Develop and implement security automation to streamline remediation processes Create and maintain cloud security documentation, including policies, procedures, and architectural diagrams Participate in security incident response for cloud-related events Provide cloud security expertise during new service deployments and architecture reviews Stay current with evolving cloud security best practices, threats, and compliance requirements Qualifications 4+ years of experience in cloud security across Azure and GCP platforms Demonstrable experience with CSPM and CNAPP tools and methodologies Strong understanding of cloud-native security controls, including IAM, encryption, network security, and logging/monitoring Proficiency in security automation using tools like Terraform, Azure ARM templates, or GCP Deployment Manager Experience with Kubernetes and other containerisation technologies Experience with cloud security frameworks and compliance standards (e.g., CIS, NIST, SOC2) Strong knowledge of DevSecOps principles and practices Excellent communication skills to effectively coordinate with various technical teams Preferred Skills Relevant security certifications (e.g., CCSP, Azure Security Engineer, GCP Professional Cloud Security Engineer) Experience with container security and Kubernetes environments Familiarity with cloud security APIs and CLI tools Background in security architecture or engineering Experience with cloud infrastructure as code (IaC) security scanning
Hyderabad
INR 37.5 - 45.0 Lacs P.A.
Hybrid
Full Time
Role Summary Join Quantiums India leadership team in shaping the future of data-drive business operations. The Data Systems Lead (India) is pivotal in executing Quantium's internal data and systems transformation strategy, working as part of a globally distributed team to ensure our corporate data ecosystem supports business growth and operational excellence. This role will lead and develop the India-based analytics operations team, working closely with the Australia-based leadership team to deliver high-quality data integration, system maintenance, and analytical solutions across Quantium's internal systems ecosystem. The successful candidate will combine strong technical analytics engineering capabilities with stakeholder management skills, enabling them to work autonomously with business stakeholders when requirements need clarification whilst maintaining close collaboration with the Australian leadership team. This role is critical to Quantium's India growth strategy, building local capability whilst maintaining global standards and connectivity. The position is designed to support both professional excellence and personal fulfilment, with flexible working arrangements and a commitment to inclusive leadership development. Key Responsibilities Team Leadership & Talent Development Guide and develop a team of 3-5 analysts focused on internal data systems and operations Recruit and nuture local India talent, including analysts similar to current team members Foster a culture of continuous improvement and operational excellence within the India operations team Partner closely with Australian squad leaders on resource planning and capability development Data Systems & Analytics Engineering Execute and enhance data integration strategies across Quantium's internal systems ecosystem (Kantata, HubSpot, Anaplan, HRMS, Finance systems) Orchestrate ETL processes, data quality monitoring, and system maintenance operations Ensure data consistency and integrity across the corporate data warehouse Drive automation of manual processes and implement operational efficiencies Stakeholder Engagement Collaborate with Australian leadership team to understand and translate business requirements Engage directly with internal business stakeholders across verticals when requirements need clarification Participate actively in regular forums with Finance, People & Culture, and vertical teams to gather feedback and requirements Support change management initiatives related to systems transformation Operational Excellence Coordinate day-to-day operations of internal data systems and reporting processes Monitor and resolve data quality issues, implementing systematic approaches to problem-solving Support month-end financial processes, management reporting, and compliance requirements Maintain adherence to Quantium's data governance and security standards Key activities Strategic Execution Execute business plans for foundational internal data assets including corporate data management, system integrations, and operational reporting Support the development of the internal data and systems roadmap based on business requirements Coordinate with global teams on system enhancements and new implementations Team Management Recruit and develop local analytics talent with strong ETL and data integration capabilities Create development plans and objectives aligned with operational excellence and business support objectives Provide coaching and mentorship to develop team members' technical and stakeholder management capabilities Build inclusive teams that leverage diverse perspectives and experiences Manage resource allocation across multiple internal projects and business-as-usual operations Technical Delivery Oversee technical designs for data integration solutions and system enhancements Ensure quality standards are maintained across all data processes and deliverables Champion best practices for analytics engineering and data operations Support troubleshooting and resolution of complex data and system issues Qualifications Essential Requirements Analytics Engineering Foundation : Strong experience in ETL development, data integration, and analytics engineering practices Enterprise Systems Knowledge : Previous experience working with ERP systems, enterprise applications, or corporate data ecosystems Team Leadership and Development : Proven experience managing and developing analytics teams (3+ people) Data Integration Expertise : Strong understanding of data structures, data transformation, and system integration patterns Stakeholder Partnership : Demonstrated ability to work with business stakeholders and translate requirements into technical solutions Cross-cultural Communication : Comfort working across time zones and cultural contexts Highly Desirable Experience with enterprise applications such as Kantata (or similar PSA tools), HubSpot, Anaplan, or HRMS systems Background in finance or HR data management and reporting Experience in professional services or consulting environments Previous experience working in globally distributed teams Understanding of data governance and compliance requirements Experience mentoring and developing junior team members Skills Required Data Engineering : Proficiency in SQL, data transformation tools, and ETL processes Analytics Tools : Experience with data analysis and reporting tools System Integration : Understanding of API integrations and data warehouse concepts Problem Solving : Strong systematic approach to troubleshooting data and system issues Data Quality : Experience implementing data quality monitoring and improvement processes
Hyderabad
INR 35.0 - 40.0 Lacs P.A.
Hybrid
Full Time
Role summary As a Lead Technical Engineer for India, you will be accountable for leading the technical aspects of product engineering by being hands on, working on the enhancement, maintenance and support of the product on which your team is working, within your technology area. You will be responsible for your own hands-on coding, provide the design thinking and design solutions, ensuring the quality of your teams output, representing your team in product-level technical forums and ensuring your team provides technical input to and aligns with the overall product road-map. This role with be 80% technical hands on with 20% people management. You will work with Engineers in other technology areas to define the overall technical direction for the product on alignment with Groups technology roadmap, standards and frameworks, with product owners and business stakeholders to shape the product's delivery roadmap and with support teams to ensure its smooth operation. You will be accountable for the overall technical quality of the work produced by India that is in line with the expectation of the stakeholders, clients and Group. You will also be responsible for line management of your team of Engineers, ensuring that they perform to the expected levels and that their career development is fully supported. Key responsibilities Produce Quality Code Code follows team standards, is structured to ensure readability and maintainability and goes through review smoothly, even for complex changes Designs respect best practices and are favourably reviewed by peers Critical paths through code are covered by appropriate tests High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies Data updates are monitored and complete within SLA Produce Quality Technical Design Technical designs follow team and group standards and frameworks, is structured to ensure reusability, extensibility and maintainability and goes through review smoothly, even for complex changes Designs respect best practices and are favourably reviewed by peers High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies Operate at a High Level of Productivity Estimates are consistently ‘challenging, but realistic’ Most tasks are delivered within estimate Complex or larger tasks are delivered autonomously Squad Collaboration Sprint goals are consistently achieved Demonstrate commitment to continuous improvement of squad activities The product backlog is consistently well-groomed, with a responsible balance of new features and technical debt mitigation Other Engineers in the Squad feel supported in their development People Management Direct reports have meaningful objectives recorded in Quantium's Performance Portal, and understand how those objectives relate to business strategy Direct reports' career aspirations are understood / documented, with action plans in place to move towards those goals Direct reports have regular catch-ups to discuss performance, career development and their on-going happiness / engagement in their role Any performance issues are identified, documented and agreed, with realistic remedial plans in place Key activities Build technical product/application engineering capability in the team by that is in line with the Group’s technical roadmap, standards and frameworks Write polished code, aligned to team standards, including appropriate unit / integration tests Review code and test cases produced by others, to ensure changes satisfy the associated business requirement, follow best practices, and integrate with the existing code-base Provide constructive feedback to other team members on quality of code and test cases Collaborate with other Lead / Senior Engineers to produce high-level designs for larger pieces of work Validate technical designs and estimates produced by other team members Merge reviewed code into release branches, resolving any conflicts that arise, and periodically deploy updates to production and non-production environments Troubleshoot production problems and raise / prioritize bug tickets to resolve any issues Proactively monitor system health and act to report / resolve any issues Provide out of hours support for periodic ETL processes, ensuring SLAs are met Work with business stakeholders and other leads to define and estimate new epics Contribute to backlog refinement sessions, helping to break down each epic into a collection of smaller user stories that will deliver the overall feature Work closely with Product Owners to ensure the product backlog is prioritized to maximize business value and manage technical debt Lead work breakdown sessions to define the technical tasks required to implement each user story Contribute to sprint planning sessions, ensuring the team takes a ‘realistic but challenging’ amount of work into each sprint and each team member will be productively occupied Contribute to the team’s daily stand-up, highlighting any delays or impediments to progress and proposing mitigation for those issues Contribute to sprint review and sprint retro sessions, to maintain a culture of continuous improvement within the team Coach / mentor more junior Engineers to support their continuing development Set and periodically review delivery and development objectives for direct reports Identify each direct reports’ longer-term career objectives and, as far as possible, factor this into work assignments Hold fortnightly catch-ups with direct reports to review progress against objectives, assess engagement and give them the opportunity to raise concerns about the product or team Work through the annual performance review process for all team members Conduct technical interviews as necessary to recruit new Engineers Experience and education required 8+ years’ experience developing web applications and core services using C#, Java or Scala and one popular JavaScript framework (React, Angular) Solid foundation in functional and/or object-oriented programming and data structures Values delivering high-quality, peer-reviewed, well-tested code Hands on experience in manipulating SPARK at scale with true depth knowledge of SPARK API is mandatory Ideally would have knowledge of Scala and/or Java Knowledge of DevOps functions and to contribute to CI / CD pipelines Solid hands on experience in .NET Framework, SQL Server: MS SQL SERVER (Writing Queries, Stored Procedures, Functions) Debugging Skills Styling: CSS, LESS Experience in Kubernetes and Azure will be an advantage Experience working with source control tools (GIT preferred) with good understanding of branching / merging strategies Bachelor’s degree in Computer Science, Information Technology or a related discipline Comfortable working in a fast moving, agile development environment Excellent problem solving / analytical skills Good written / verbal communication skills Commercially aware, with the ability to work with a diverse range of stakeholders Enthusiasm for coaching and mentoring more junior engineers Experience in leading teams, including line management responsibilities
Hyderabad
INR 12.0 - 18.0 Lacs P.A.
Work from Office
Full Time
Data Engineering Team As a Lead Data Engineer for India, you will be accountable for leading the technical aspects of product engineering by being hands on, working on the enhancement, maintenance and support of the product on which your team is working, within your technology area. You will be responsible for your own hands-on coding, provide the design thinking and design solutions, ensuring the quality of your teams output, representing your team in product-level technical forums and ensuring your team provides technical input to and aligns with the overall product road-map. How will you make an impact? You will work with Engineers in other technology areas to define the overall technical direction for the product on alignment with Groups technology roadmap, standards and frameworks, with product owners and business stakeholders to shape the product's delivery roadmap and with support teams to ensure its smooth operation. You will be accountable for the overall technical quality of the work produced by India that is in line with the expectation of the stakeholders, clients and Group. You will also be responsible for line management of your team of Engineers, ensuring that they perform to the expected levels and that their career development is fully supported. Key responsibilities o Produce Quality Code o Code follows team standards, is structured to ensure readability and maintainability and goes through review smoothly, even for complex changes o Designs respect best practices and are favourably reviewed by peers o Critical paths through code are covered by appropriate tests o High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies o Data updates are monitored and complete within SLA o Technical designs follow team and group standards and frameworks, is structured to ensure reusability, extensibility and maintainability and goes through review smoothly, even for complex changes o Designs respect best practices and are favourably reviewed by peers o High-level designs / architectures align to wider technical strategy, presenting reusable APIs where possible and minimizing system dependencies o Estimates are consistently challenging, but realistic o Most tasks are delivered within estimate o Complex or larger tasks are delivered autonomously o Sprint goals are consistently achieved o Demonstrate commitment to continuous improvement of squad activities o The product backlog is consistently well-groomed, with a responsible balance of new features and technical debt mitigation o Other Engineers in the Squad feel supported in their development o Direct reports have meaningful objectives recorded in Quantium's Performance Portal, and understand how those objectives relate to business strategy o Direct reports' career aspirations are understood / documented, with action plans in place to move towards those goals o Direct reports have regular catch-ups to discuss performance, career development and their ongoing happiness / engagement in their role o Any performance issues are identified, documented and agreed, with realistic remedial plans in place o Squad Collaboration o People Management o Produce Quality Technical Design o Operate at high level of productivity Key activities Build technical product/application engineering capability in the team by that is in line with the Groups technical roadmap, standards and frameworks Write polished code, aligned to team standards, including appropriate unit / integration tests Review code and test cases produced by others, to ensure changes satisfy the associated business requirement, follow best practices, and integrate with the existing code-base Provide constructive feedback to other team members on quality of code and test cases Collaborate with other Lead / Senior Engineers to produce high-level designs for larger pieces of work Validate technical designs and estimates produced by other team members Merge reviewed code into release branches, resolving any conflicts that arise, and periodically deploy updates to production and non-production environments Troubleshoot production problems and raise / prioritize bug tickets to resolve any issues Proactively monitor system health and act to report / resolve any issues Provide out of hours support for periodic ETL processes, ensuring SLAs are met Work with business stakeholders and other leads to define and estimate new epics Contribute to backlog refinement sessions, helping to break down each epic into a collection of smaller user stories that will deliver the overall feature Work closely with Product Owners to ensure the product backlog is prioritized to maximize business value and manage technical debt Lead work breakdown sessions to define the technical tasks required to implement each user story Contribute to sprint planning sessions, ensuring the team takes a realistic but challenging amount of work into each sprint and each team member will be productively occupied Contribute to the teams daily stand-up, highlighting any delays or impediments to progress and proposing mitigation for those issues Contribute to sprint review and sprint retro sessions, to maintain a culture of continuous improvement within the team Coach / mentor more junior Engineers to support their continuing development Set and periodically review delivery and development objectives for direct reports Identify each direct reports longer-term career objectives and, as far as possible, factor this into work assignments Hold fortnightly catch-ups with direct reports to review progress against objectives, assess engagement and give them the opportunity to raise concerns about the product or team Work through the annual performance review process for all team members Conduct technical interviews as necessary to recruit new Engineers The superpowers youll be bringing to the team: 8+ years of experience in design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP) or similar cloud platforms. 2. Strong experience with SQL 3. Values delivering high-quality, peer-reviewed, well-tested code 4. Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time 5. Knowledge of DevOps functions and to contribute to CI / CD pipelines 6. Strong knowledge of data warehousing and data modelling and techniques like dimensional modelling etc 7. Strong hands-on experience with BigQuery/Snowflake, Airflow/Argo, Dataflow, Data catalog, VertexAI, Pub/Sub etc or equivalent products in other cloud platforms 8. Solid grip over programming languages like Python or Scala 9. Hands on experience in manipulating SPARK at scale with true in-depth knowledge of SPARK API 10. Experience working with stakeholders and mentoring experience for juniors in the team is good to have 11. Recognized as a go-to person for high-level designs and estimations 12. Experience working with source control tools (GIT preferred) with good understanding of branching / merging strategies 13. Experience in Kubernetes and Azure will be an advantage 14. Understanding of GNU/Linux systems and Bash/scripting 15. Bachelors degree in Computer Science, Information Technology or a related discipline 16. Comfortable working in a fast moving, agile development environment 17. Excellent problem solving / analytical skills 18. Good written / verbal communication skills 19. Commercially aware, with the ability to work with a diverse range of stakeholders 20. Enthusiasm for coaching and mentoring junior engineers 21. Experience in lading teams, including line management responsibilities
Hyderabad
INR 13.0 - 18.0 Lacs P.A.
Work from Office
Full Time
How will you make an impact? Sales Record-Keeping Ownership: Ensure that sales contract data is up-to-date, complete and accurate in D365, Kantata and PowerBI for the Consumer team globally Reporting Development: Brief, develop and deliver timely opportunity pipeline, campaign, operational, utilization, profitability and performance reporting using CRM tools Stakeholder Management: Serve as an important bridge between Finance, Consulting and Leadership teams, keeping stakeholders informed and finding ways to 'lighten their load' Process Improvement: Lead development of more efficient and automated global processes and technical solutions, including AI implementation Service Desk Management: Provide proactive and reactive communication and responses to service desk queries globally within SLA timelines The superpowers you'll be bringing to the team: Technical Proficiency: 7+ years relevant experience with ERP/Finance/CRM systems (ideally D365, Hubspot, Salesforce, Kantata) Leadership Experience: Proven experience leading teams and managing global stakeholders Process Development: Strong attention to detail and experience in developing and improving business processes Commercial Acumen: Understanding of commercial principles and experience with regular financial processes (invoicing and contracting) Analytical Skills: Experience in developing weekly and monthly commercial and operational reporting Communication Skills: Clear thinker and communicator with experience running service desks Adaptability: Ability to thrive in a fast-paced and regularly changing environment Technical Skills: Proficiency with MS Suite of products, especially Excel
Hyderabad
INR 25.0 - 35.0 Lacs P.A.
Hybrid
Full Time
Role Summary: The Senior Data Scientist is a technical leadership role with direct accountability for the delivery of multiple projects within FMCG including the management of the analytics quality on these projects. The Senior Data Scientist collaborates closely with other Data Scientists and consultants on projects (across the FMCG client portfolio) to transform client questions and issues into analytical solutions. Key responsibilities: Accountable for the analytics quality and delivery of key FMCG projects. Transforming client questions and issues into analytical solutions, through partnering with Consultants to scope solutions and ensure projects are successfully delivering value to clients. Task management including overseeing and delegating technical tasks amongst data scientists. Team management: leading a small team of technical analysts (~1-3 direct reports). Key activities: * Accountable for the analytics quality and delivery of key FMCG projects: Delivery and build of analytical solutions, transforming transaction- or customer-level data sets into client ready strategic insights e.g. data exploration, cleansing, manipulation, extracting insights, and clear presentation via spreadsheets, PowerPoint presentations and self-service analytical visualization tools. Task management including overseeing and delegating technical tasks amongst analysts within project team, including reviewing code, analysis and outputs. Design and be accountable for solution design, analytical methodology / technique and quality assurance for analytical projects. Providing estimates of work effort, timeframes, costings and resourcing for analytical tasks. * Partnering with consultants to ensure projects are successfully delivered and providing value to clients: Convert data into meaningful, actionable recommendations for Quantium's clients. Transforming client questions and issues into analytical solutions, through project scoping and solution design. * Team management: leading a small team of Data Scientists: Directly manage all direct reports, managing on-boarding, driving their performance, supporting their development & progression and managing the formal performance review process. Provide technical guidance for direct reports and other analysts within the project team as needed / on a day-to-day basis. Support team initiatives, such as interviewing candidates, facilitating team training or knowledge sharing, or organizing events. Be a role model of Quantium's DNA and support a culture of collaboration, innovation, high-performance and fun. Experience and education required: 1. Approximately 5+ years experience in a highly technical analytics environment, carrying out data analytics or data science work. Strong coding experience in SQL. Experience in working with large datasets to solving commercial business problems (customer-level and/or sales transaction-level datasets preferred). Advanced knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, model development and model training. 2. Well-developed commercial acumen to understand business needs and be able suggest the commercial impacts of different analytics solutions or approaches. Experience transforming client questions and issues into analytical solutions, through project scoping and solution design. Experience in FMCG/CPG or Retail industry (preferred). Experience working in consulting environment (preferred). 3. Experience in supervising the work of others as a senior team member, project manager or team leader. 4. Experience with successfully managing either internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environments. 5. Experience and interest in people management, mentoring and development. 6.Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Key business capabilities required: 1. Resource Planning - Coordination of resources effectively to achieve committed client outcomes at a high level of quality. 2. Client Project Planning - Effective capture, planning and management of the series of inter-related activities involved in delivering the agreed client scope of work, including managing dependencies, making decisions on variances to the original plan and aligning stakeholders. 3. Client Project Delivery- Effective management that integrates people, systems, structures and practices across Quantium and a client organization to ensure high quality project delivery. 4. Business and Product Requirements - Ability to effectively translate business and client needs or problems into an a sustainable technical or product solution. 5. Method Evaluation - Assess the appropriateness of the solution to the original problem and the application of the method. 6. Method Selection - Choose the appropriate type of analytics or modelling to best solve the problem, given all inputs and prescribed outputs. 7. Method Design - Design the most appropriate structure for the method that best solves the problem, given inputs and prescribed outputs. 8. Insight Generation: Convert information into meaningful, actionable recommendations for Quantium's clients and partners. Key People and leadership capabilities required: 1. Self-aware - you leverage diversity across people, tasks, client interactions and projects, taking responsibility for self and other. 2. Agile and innovative - you possess strong lateral thinking skills and actively develop these in others. 3. Achieve and perform - you have exceptional execution skills and are achievement focused. 4. Brand advocate - you anticipate and consider brand and cultural impact in decision making. 5. Purposeful and aligned - you can set clear, tangible objectives which deliver against our strategy. 6. Achievement oriented - you effectively facilitate challenging performance related conversations in a timely and appropriate manner. 7. Coach - you demonstrate the ability to coach and develop others while facilitating learning, growth and engagement.
Hyderabad
INR 25.0 - 30.0 Lacs P.A.
Work from Office
Full Time
Role & responsibilities: Lead the development of enterprise-grade applications using cutting-edge technologies Architect and design robust, scalable solutions that power Quantium's data science and AI capabilities Mentor and guide a team of engineers, fostering a culture of technical excellence and innovation Drive the adoption of best practices in software development, including CI/CD and agile methodologies Collaborate with cross-functional teams to translate complex business requirements into elegant technical solutions Work on cutting-edge projects at the intersection of data science, AI, and software engineering Collaborate with a diverse team of experts across various disciplines Contribute to solutions that have real-world impact across multiple industries Continuously learn and grow your skills in a fast-paced, innovative environment Be part of a company that values work-life balance and personal growth Preferred candidate profile: 7-10 years of industry experience with a degree in Computer Science or related field Expert in Microsoft Technology stack (ASP.NET Core, .NET Core, C#) and frontend technologies (Angular, React JS, JavaScript) Proficient in cloud technologies (Azure or AWS) and database systems (SQL and NoSQL) Strong understanding of software design patterns, data structures, and algorithms Experience leading small engineering teams (3-5 members) and excellent communication skills Passion for continuous learning and staying current with emerging technologies The Superpowers You'll Be Bringing To The Team: Mastery of full-stack development, with expertise in both frontend and backend technologies Ability to architect and build high-performance, scalable applications Strong leadership skills to guide and inspire a team of talented engineers Problem-solving prowess to tackle complex technical challenges Excellent communication skills to bridge the gap between technical and non-technical stakeholders
Hyderabad
INR 40.0 - 45.0 Lacs P.A.
Work from Office
Full Time
Role Summary: The Lead Data Scientist, Foundational Analytics is pivotal in ensuring that core data assets support the growth of our business. The appointed Lead will be required to apply their experience in managing a range of analytical resources and functions to develop a centre of excellence for analytic capabilities, fostering a culture of innovation, collaboration and expertise. They will work collaboratively with key stakeholders across the business to understand and set appropriate analytical strategies that support business growth, and apply these strategies to their business planning, and in particular support business growth initiatives through allocation of appropriate resources, subject matter expertise and long range planning. They will act as experts in developing the way we manage our foundational data assets and drive innovative analytical solutions that create value. They will also work with Data Engineers and implementation teams on solution design and with business stakeholders on change management. Role & responsibilities: Develop relationships with key internal and external stakeholders across Quantium to understand and support the strategic goals and key initiatives of the company Develop and execute strategy and business plans for the ongoing development of our foundational data assets Manage Lead and Senior Analysts in other verticals to achieve business plan goals on an ongoing basis across a variety of teams Set and manage aligned KPIs across one analytics team focussed on a single data partner Develop a culture of innovation and analytic excellence by focussing on development of existing team members and hiring the best talent available Drive accountability within the teams to achieve deadlines and the best possible analytic outcomes Support growth of the business through implementation of capabilities that streamline the ingestion and preparation of new data assets Support development of technology solutions that focus on automation of solutions, operational excellence and innovation by working with implementation and technology teams on solution design Key activities: Set and manage business plans for three or more foundational data assets including data curation, customer segmentation and other foundational analytics Engage with business and external stakeholders to gather feedback and requirements to drive the foundational analytics roadmap for key business initiatives Set up regular forums to engage stakeholders across the business that use these foundational data assets to receive and give feedback on current and future initiatives and ensure they are supported appropriately Manage the high-level prioritization process across teams including the use of WIPs, charter cards and business plans which are reviewed by the team on a regular basis, and manage stakeholders expectations regarding timeframes Develop and implement resource plans to support business plans and roadmaps Responsible for team recruitment, for both external and internal candidates Ensure tailored performance plans and KPIs are set, monitored and managed on a regular basis for all team members Provide coaching and support to direct reports to develop their management and analytical capabilities Monitor and approve technical designs that implement analytical outcomes and models Drive a culture of innovation by engaging with analysts across the team through a variety of forums including one to ones, skip level meetings, lunch time sessions and analytical showcases Foster a cohesive team spirit through team meetings, awards and strong communication Taking a structured and analytical approach in troubleshooting data issues and problems Performance manager for junior team members and enabling the team to succeed by resolving issues and building on strengths Preferred candidate profile: Strong background and understanding of data structures, data manipulation and transformation Previous experience in the fields of data science or high-level data analysis; data modelling experience highly regarded Previous experience working directly with Big Data Engineers highly regarded Previous experience with project management and people management Proven ability and experience in optimizing performance of an existing process with a can-do attitude Desire to work with a team of feedback-driven analysts and developers in a cross-functional and agile environment Lead level data science/data analytics and management of one or more team of analysts Variety of analytical roles preferred, including consulting Skills Required: Sound knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, preferably including model development and model training Sufficient skills in several disciplines or techniques to autonomously apply without the need for material guidance or revision by others; and Sufficient skills in at least one discipline or technique to be an authoritative source of guidance and support for the team, and to be able to solve problems of a high technical complexity in this domain Strong problem-solving skills, including ability to apply a systematic problem-solving approach Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines Very strong client and stakeholder management skills Ability to autonomously carry out work following analytics best practice as defined at Quantium for the relevant types of tools or techniques, suggesting improvements where appropriate Ability to motivate peers to follow analytics best practice as defined at Quantium, by positively presenting the benefits and importance of these ways of working Commercial acumen to understand business needs and the commercial impacts of different analytics solutions or approaches Attention to detail Drive for continuous improvement
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