Job Description Your Role and Responsibilities Responsible for implementing a robust data estate using Microsoft Azure Stack. Responsible for creating reusable and scalable data pipelines. Responsible for developing and deploying Big Data BI Solutions across industries and functions. Responsible for the development and deployment of new data platforms. Responsible for creating reusable components for rapid development of data platform. Responsible to create high-level architecture and data modelling. Responsible to guide and mentor the development teams. Responsible for getting UAT and Go Live for Data platform projects. Play an active role in team meetings and workshops with clients. Required Technical and Professional Expertise Minimum of 4+ years of experience in Data Warehousing with Big Data or Cloud. Graduate degree educated in computer science or a relevant subject. Good software engineering principals. Strong in SQL queries and data models. Good understanding of OLAP & OLTP concepts and implementations. Experience in working on Azure Services like Azure Data Factory, Azure Function, Azure SQL, Azure Data Bricks, Azure Data Lake, Synapse Analytics etc. Knowledge of Power shell is good to have. Experience of working in Agile delivery model. Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is good to have. Knowledge and practical experience of cloud-based at forms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous. Understanding of infrastructure (including hosting, container-based deployments, and storage architectures) would be advantage. Preferred Technical and Professional Experience 6+ years of experience in ELT/Data Integration for Data Warehousing, Data Lakes, and Business Intelligence. Expertise in data storage, ETL/ELT, and data analytics tools and technologies. Proven hands-on experience in designing, modelling, testing, and optimizing data warehousing & data lake solutions. Proficiency in SQL and Spark-based data processing. Experience with Azure cloud big data technologies Like Azure Data Factory, Azure Databricks, Fabric, Synapse, ADLS Gen2, etc. Strong understanding of data and analytics data architecture. Experience working with Agile methodologies (Scrum, Kanban) and in large transformational programs. Ability to document architecture and present solutions effectively. Strong data modelling skills (conceptual, logical, and physical). Experience with Python.
Job Description Your Role and Responsibilities Lead technology design discussions, propose architecture solutions, and drive technology decisions. Experienced in designing and delivering enterprise-level highly available solutions . Work closely with project management teams to effectively monitor the progress of implementation. Collaborate with the Pre-sales team on RFPs . Provide detailed specifications for proposed solutions. Experience in migrating applications to the cloud. Skilled in creating Data Lake and Data Warehouse solutions. Ability to implement solutions as per technical requirements. Expertise in identity, authentication, security, privacy, and compliance , including Active Directory, modern application architecture (Queues, Microservices, Containers, etc.) . Required Technical and Professional Expertise Strong project management and leadership skills . 4+ years of experience in developing IT and cloud infrastructure ( MS Azure, GCP ). Hands-on experience with MS Azure technology stack and related tools ( Databricks, Data Factory, Data Flow, Synapse Analytics, Synapse ML, Gen2 Storage, etc. ). Masters degree in computer science or software engineering (preferred). Current understanding of best practices for system security measures . Experience in software engineering and architectural design . Positive attitude in meeting challenges and working at a high level. Advanced understanding of business analysis techniques and processes . Azure ML experience (nice to have). Preferred Technical and Professional Experience MS Azure Certifications : Fundamentals, Solution Architect, Data Engineer.
Job Description Roles & Responsibilities Design and develop interactive dashboards and reports in Power BI based on business requirements. Ensure visualizations are user-friendly and provide actionable insights for stakeholders. Connect Power BI to various data sources (SQL, Excel, SharePoint, APIs, other cloud-based data sources) and perform necessary data transformations using Power Query Editor. Hands on Experience in Star and Snowflake schemas and model the data in Power BI as per best practices. Optimize Power BI reports and data models for better performance, including managing data refresh and query optimization. Troubleshoot and resolve performance-related issues in reports. Work with business users to understand their reporting needs and deliver solutions that meet those requirements. Translate business requirements into technical solutions and ensure the final product aligns with business goals. Stay updated on the latest Power BI features and best practices. Suggest and implement improvements to existing reports and processes based on feedback and evolving business needs. Required Technical and Professional Expertise Hands-on experience in designing and developing Power BI dashboards and reports. Strong expertise in DAX (Data Analysis Expressions) for both basic & advanced calculations of KPIs to implement business requirements. Expertise in data extraction, transformation, and loading (ETL) processes from various sources in Power BI. In-depth knowledge in Data Modelling strategies used for creating data models in Power BI. Knowledge of implementing Row-Level Security (RLS) and implement required data permissions to end users of the reports. Experience in Power BI service like Publishing & sharing of reports, creation of Power BI Dashboard at Service, use of Datasets/ Dataflows, Manage accesses etc. Strong understanding of BI methodologies, KPIs, and dashboard storytelling. Manage end-to-end lifecycle of BI projects, from requirements gathering and design to deployment and post-launch support. B.Tech/BE Computer Science degree would be needed. Preferred Skills Familiarity with cloud-based BI solutions, particularly in the Azure ecosystem. Microsoft Power BI Certification (PL-300, PL-600, or similar) is a plus. Strong problem-solving and analytical skills with attention to detail. Familiarity with Power Automate for automating data refreshes, workflows, and notifications within Power BI. Knowledge of Power BI Mobile for report accessibility across devices. M.Tech Computer Science degree would be preferred.
Role Overview: We are looking for a highly motivated and detail-oriented Talent Acquisition Intern to support our hiring team in attracting, sourcing, and recruiting top talent. This is a great opportunity to understand end-to-end recruitment while contributing to key talent initiatives. Key Responsibilities: Assist in sourcing candidates through job portals, LinkedIn, social media, and internal databases. Screen resumes and coordinate initial levels of candidate evaluation. Schedule and coordinate interviews with hiring managers. Maintain recruitment trackers and databases. Assist in drafting and publishing job descriptions. Support in employer branding initiatives and recruitment campaigns. Support in employer branding initiatives and recruitment campaigns. Requirements: Pursuing or recently completed Bachelor's or Masters degree in HR, Business Administration, or related field. Strong communication and interpersonal skills. Ability to multitask and work in a fast-paced environment. Proficiency in MS Office (Word, Excel, PowerPoint). Enthusiastic, eager to learn, and open to feedback. What Youll Gain: Hands-on experience in end-to-end recruitment process. Exposure to HR tools and Applicant Tracking Systems (ATS). Opportunity to work closely with experienced Talent Acquisition professionals. Certificate of Internship and Letter of Recommendation (based on performance).
Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.
Role Overview: We are looking for a highly motivated and detail-oriented Talent Acquisition Intern to support our hiring team in attracting, sourcing, and recruiting top talent. This is a great opportunity to understand end-to-end recruitment while contributing to key talent initiatives. Key Responsibilities: Assist in sourcing candidates through job portals, LinkedIn, social media, and internal databases. Screen resumes and coordinate initial levels of candidate evaluation. Schedule and coordinate interviews with hiring managers. Maintain recruitment trackers and databases. Assist in drafting and publishing job descriptions. Support in employer branding initiatives and recruitment campaigns. Support in employer branding initiatives and recruitment campaigns. Requirements: Pursuing or recently completed Bachelor's or Masters degree in HR, Business Administration, or related field. Strong communication and interpersonal skills. Ability to multitask and work in a fast-paced environment. Proficiency in MS Office (Word, Excel, PowerPoint). Enthusiastic, eager to learn, and open to feedback. What Youll Gain: Hands-on experience in end-to-end recruitment process. Exposure to HR tools and Applicant Tracking Systems (ATS). Opportunity to work closely with experienced Talent Acquisition professionals. Certificate of Internship and Letter of Recommendation (based on performance).
Immediate Joiner!!!! Job Description Roles & Responsibilities 1. Develop Power BI Reports/ Dashboards: Design and develop interactive dashboards and reports in Power BI based on business requirements. Ensure visualizations are user-friendly and provide actionable insights for stakeholders. 2. Data Integration, Transformation & Modelling: Connect Power BI to various data sources (SQL, Excel, SharePoint, APIs, other cloud-based data sources) and perform necessary data transformations using Power Query Editor. Hands on Experience in Star and Snowflake schemas and model the data in Power BI as per best practices. 3. Performance Optimization: Optimize Power BI reports and data models for better performance, including managing data refresh and query optimization. Troubleshoot and resolve performance-related issues in reports. 4. Collaboration with Stakeholders: Work with business users to understand their reporting needs and deliver solutions that meet those requirements. Translate business requirements into technical solutions and ensure the final product aligns with business goals. 5. Continuous Improvement: Stay updated on the latest Power BI features and best practices. Suggest and implement improvements to existing reports and processes based on feedback and evolving business needs. Required Technical and Professional Expertise Hands-on experience in designing and developing Power BI dashboards and reports. Strong expertise in DAX (Data Analysis Expressions) for both basic & advanced calculations of KPIs to implement business requirements. Expertise in data extraction, transformation, and loading (ETL) processes from various sources in Power BI. In-depth knowledge in Data Modelling strategies used for creating data models in Power BI. Knowledge of implementing Row-Level Security (RLS) and implement required data permissions to end users of the reports. Experience in Power BI service like Publishing & sharing of reports, creation of Power BI Dashboard at Service, use of Datasets/ Dataflows, Manage accesses etc. Ability to analyse and optimize Power BI report performance, refresh times, and dataset efficiency. Strong understanding of BI methodologies, KPIs, and dashboard storytelling. Excellent communication and collaboration skills to work with cross-functional teams. Manage end-to-end lifecycle of BI projects, from requirements gathering and design to deployment and post-launch support. Preferred Skills Familiarity with cloud-based BI solutions, particularly in the Azure ecosystem. Microsoft Power BI Certification (PL-300, PL-600, or similar) is a plus. Strong problem-solving and analytical skills with attention to detail. Familiarity with Power Automate for automating data refreshes, workflows, and notifications within Power BI. Knowledge of Power BI Mobile for report accessibility across devices.
Job Description Were looking for a Senior Content Writer & Strategist at Polestar Solutions to join our dynamic Marketing team. They’ll be responsible for strategizing and creating high quality written materials that resonate with our target audience. We’re looking for someone who possess a blend of creativity, strategic thinking, and strong writing skills. Your Role and Responsibilities Content Creation : Develop engaging and informative content for website, blogs, eBooks, social media, presentations, guest blogging, PR, email campaigns, and other marketing channels. Research & Analysis : Periodically research and review the business communication and collaterals of contemporary companies/ OEMs/ any relevant material to create strong differentiation Content Editing & Proofreading : Review and refine content of the team for accuracy and clarity. Content Distribution : Strategize and distribute produced content across multiple channels and mediums Performance Monitoring : Analyse & develop content performance metrics and adjust strategies to optimize engagement and effectiveness. Cross-functional Collaboration : Work alongside design, product, and sales teams to ensure cohesive messaging across all platforms and act as a marketing liaison between teams. Required Technical and Professional Expertise Bachelor's or master's degree in journalism, English, Communications, Business Management or a related field. Minimum 5 years of experience in content and copy writing in an AI/Analytics/ SaaS/ IT/Technology environment with focus on Analytics. Proven experience in deploying business-focused literature, from idea to execution. Demonstrable writing and copy-editing skills for various formats relevant to the B2B environment. Expertise in researching from high-quality and authentic sources. Familiarity/ Zeal to understand established and emerging technologies and Analytics concepts. Capability to use GPT/LLMs but in compliance with EEAT guidelines. Preferred Technical and Professional Experience Deep understanding of the AI, Analytics, SaaS, data and IT services landscape, including current trends, challenges, and key players. Experience in developing content strategies aligned with SEO best practices and keyword research within the technology sector. Proven ability to create content that targets specific buyer personas within the B2B technology space. Successful track record of contributing to thought leadership initiatives, such as white papers, industry reports, or webinars. Experience collaborating with subject matter experts and technical teams to create accurate and insightful content.
Key Responsibility PMP certified + Agile Scrum Master is preferred. Strong IT experience, preferably in the domain of Analytics. Build and manage an end-to-end project plan, and monitor/report progress. Effectively manage scope and dependencies. Identify risks and issues and proactively resolve/mitigate them. Ensure that the project is delivered on time, with agreed cost and quality. Deliver projects and lead the planning and implementation of multiple BI and data analytics projects like MSBI, Tableau, Qlik, Azure and ETL. Ensure that business outcomes are defined, approved, and delivered. Be responsible for benefits realization, and ensure that benefits are delivered in the best way possible. Support strong governance, aligned with the overall governance, and ensure that timely decisions are taken. Communicate regularly and effectively with project stakeholders. This role is focused on supporting the program team to successfully implement and embed an innovative new agile delivery methodology within the data and analytics function, in collaboration with the broader business. Strong understanding of the Project economics, manage and optimize the resources to complete the project with quality, within budget and timelines
Job Title: Functional Consultant Pharma & Life Sciences Location: Noida/Bengaluru Job Type: Full-time Experience: 10-15 years Industry: IT/Analytics/Business Consulting Services Role Overview: We are looking for a SME with domain expertise in Pharma and Life Sciences to support both pre-sales and delivery activities for our data engineering/data science and broader consulting and analytics solutions. This hybrid role blends client-facing analysis, business discovery, solution scoping, and project execution. You will collaborate with life sciences clients to understand their business needs and work with internal technical teams to design and deliver scalable, insight-driven solutions. Key Responsibilities: Client Engagement & Pre-Sales: Participate in discovery sessions with prospective clients to understand business challenges, current state, and data maturity. Collaborate with sales and solution architects to define business use cases, target outcomes, and solution scope. Develop pre-sales collateral including: Client problem statements and tailored value propositions Functional requirement outlines Workflow/process maps and high-level solution blueprints Contributions to RFPs/RFIs, SOWs, and proposals Conduct competitive and market research to inform solution design and positioning. Support creation and delivery of client-facing presentations, demos, and proof-of-concept plans. Project Delivery & Execution: Translate client business requirements into clear user stories and functional specifications for technical teams. Collaborate with data engineers, data scientists, and visualization experts to shape data pipelines, analytical models, and dashboards. Lead or support requirement workshops, stakeholder interviews, backlog grooming, and sprint reviews. Validate outputs against business needs through UAT and feedback sessions with clients. Manage documentation including BRDs, wireframes, data dictionaries, test cases, and SOPs. Industry & Domain Expertise: Bring domain knowledge in areas such as Supply Chain, Commercial Analytics, Market Access, FP&A, R&D and Clinical Trials, Medical Affairs/Pharmacovigilance. Work with common data assets (e.g., IQVIA, Symphony, Veeva, Komodo, Flatiron, CMS claims, EHR, CTMS, registries). Stay current with regulatory frameworks (HIPAA, GxP, 21 CFR Part 11) and trends in digital health and pharma analytics. Qualifications/Requirements: Bachelor’s degree in Life Sciences, Healthcare, Pharmacy, Biomedical Engineering, or related field. 8 years of experience in business analysis roles supporting pharma/life sciences clients—ideally at a consulting, analytics, or digital services firm. Strong understanding of data & analytics lifecycle (from ingestion to insight) and ability to bridge business needs with technical solutions. Experience contributing to pre-sales deliverables, proposals, and solution design workshops. Hands-on experience with tools such as SQL, Excel, Power BI/Tableau, and familiarity with modern data platforms (e.g., Snowflake, Databricks) Exceptional written and verbal communication skills with the ability to present to senior client stakeholders Experience with Data-warehousing/Visualization tools such as Databricks, Snowflake, Qliksense & Power BI Experience with CRM/MCM tools (e.g., Veeva, Salesforce), and data models like OMOP or CDISC Familiarity with cloud ecosystems (AWS, Azure, GCP) and agile delivery methods MBA, MPH, or a relevant master’s degree Business analysis or pre-sales certifications (e.g., CBAP, PMI-PBA, Pre-Sales Technical Consultant certs). Soft Skills: Consultative mindset with strong business acumen. Ability to synthesize complex business needs into structured solutions. Comfortable working across cross-functional teams and ambiguous client environments. Strong storytelling, documentation, and client presentation abilities. About Polestar As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data. We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. Our expertise and deep passion for what we do has brought us many accolades. The list includes: Recognized as “Great Place to Work” - 2024 Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. Featured on the Economic Times India's Growth Champions in FY2023. Polestar Analytics Selected as a 2022 Red Herring Global Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant FT ranking of 500 of the Asia-Pacific region’s high-growth companies. India’s most promising data science companies in 2022. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar. We have one of the most progressive people’s practices which are all aimed at enabling fast-paced growth for those who deserve it.
Job Title: Anaplan Consultant Location: Noida/ Kolkata/ Mumbai/ Bangalore Job Type: Full-time Experience: 3+ years Industry: IT Services & Analytics Job Description As an Anaplan Model Builder, you will be responsible for designing, developing, and maintaining Anaplan models to support business planning and forecasting needs. You will work closely with business stakeholders to gather requirements and translate them into scalable Anaplan solutions. Your Role and Responsibilities Design, build, and optimize Anaplan models to support business processes and decision-making. Collaborate with business users to understand requirements and translate them into technical solutions. Develop Anaplan modules, lists, dashboards, and reports using best practices. Maintain and enhance existing Anaplan models for accuracy and efficiency. Conduct testing, debugging, and troubleshooting of Anaplan models. Ensure data integrity and integration with other systems. Document model structures, workflows, and key processes. Train end-users and provide support for Anaplan applications. Required Technical and Professional Expertise 3+ years of experience in Anaplan model building. Anaplan Model Builder certification is preferred. Strong understanding of multi-dimensional modelling and data structures. Experience in data integration between Anaplan and other systems (e.g., ERP, CRM). Proficiency in Anaplan functions, formulas, and best practices. Excellent analytical and problem-solving skills. Strong communication and stakeholder management skills. About Polestar : As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data. We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. The list includes: - Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. Featured on the Economic Times India's Growth Champions in FY2023. Polestar Solutions Selected as a 2022 Red Herring Global Companies. Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant. Indias most promising data science companies in 2022 by Analytics Insight. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar. We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.
Your Role and Responsibilities • Responsible for implementing a robust data estate using Microsoft Azure Stack. • Responsible for creating reusable and scalable data pipelines. • Responsible for developing and deploying Big Data BI Solutions across industries and functions. • Responsible for the development and deployment of new data platforms. • Responsible for creating reusable components for rapid development of data platform. • Responsible to create high-level architecture and data modeling. • Responsible to guide and mentor the development teams. • Responsible for getting UAT and Go Live for Data platform projects. • Play an active role in team meetings and workshops with clients. Required Technical and Professional Expertise Minimum of 4+ years of experience in Data Warehousing with Big Data or Cloud. Graduate degree educated in computer science or a relevant subject. Good software engineering principals. Strong in SQL queries and data models. Good understanding of OLAP & OLTP concepts and implementations. Experience in working on Azure Services like Azure Data Factory, Azure Function, Azure SQL, Azure Data Bricks, Azure Data Lake, Synapse Analytics etc. Knowledge of Power shell is good to have. Experience of working in Agile delivery model. Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is good to have. Knowledge and practical experience of cloud-based at forms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous. Understanding of infrastructure (including hosting, container-based deployments, and storage architectures) would be advantage. Preferred Technical and Professional Experience 6+ years of experience in ELT/Data Integration for Data Warehousing, Data Lakes, and Business Intelligence. Expertise in data storage, ETL/ELT, and data analytics tools and technologies. Proven hands-on experience in designing, modelling, testing, and optimizing data warehousing & data lake solutions. Proficiency in SQL and Spark-based data processing. Experience with Azure cloud big data technologies Like Azure Data Factory, Azure Databricks, Fabric, Synapse, ADLS Gen2, etc. Strong understanding of data and analytics data architecture. Experience working with Agile methodologies (Scrum, Kanban) and in large transformational programs. Ability to document architecture and present solutions effectively. Strong data modelling skills (conceptual, logical, and physical). Experience with Python
Role Title: Techno Functional Role-Anaplan Analyst Experience: 0 - 1 year Location: Noida About The Role: We are seeking dynamic and motivated CA freshers to join our team as Techno-Functional Role - Anaplan in this role the employee will be working on delivering projects aimed at providing technological solutions in the domain of Supply Chain, Finance, HR, Sales, etc. These solutions help client organizations plan in an effective manner and use Analytics for data-based decision making. Those who join in this role will be trained on Anaplan by the organization. Key Responsibility: Understand planning process of respective functions in the organizations like- Supply Chain Planning, Sales Planning, Financial Planning, Workforce Planning, etc. Basis the Solution and Architecture agreed upon by the team, develop Anaplan models to support client's planning and forecasting processes for respective functions. Design the data integration between internal systems (SCM, HR, Sales, ERP, etc.) and Anaplan monitor data flows to and from the Anaplan platform to ensure all data is up-to-date and accurate. Develop technical solutions to business problems, validate and communicate technical solutions to internal and external team members, test solutions, and ensure it meets specifications. Documenting Standard Operating procedures as part of the regular maintenance. Provide ongoing support to the business community regarding application functionality, business processes, and data integrity. Communicate, and document system changes to the business. Education : Qualified Chartered Accountant (CA) with a strong academic background. What we are looking for: Analytical bent of mind and ability to think through to figure out the solution. Good communication skills along with a good presence of mind. Self-driven, motivated, and able to work in a team. About Polestar As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that helps businesses succeed with data. We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. The list includes: - Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. Featured on the Economic Times India's Growth Champions in FY2023. Polestar Solutions Selected as a 2022 Red Herring Global. Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant. FT ranking of 500 of the Asia-Pacific regions high-growth companies- 2023. Indias most promising data science companies in 2023. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Elite Qlik Partner and a member of the Qlik Partner Advisory Council & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar. We have one of the most progressive peoples practices which are all aimed at enabling fast paced growth for those who deserve it. Preferred candidate profile
Roles & Responsibilities 1. Develop Power BI Reports/ Dashboards: Design and develop interactive dashboards and reports in Power BI based on business requirements. Ensure visualizations are user-friendly and provide actionable insights for stakeholders. 2. Data Integration, Transformation & Modelling: Connect Power BI to various data sources (SQL, Excel, SharePoint, APIs, other cloud-based data sources) and perform necessary data transformations using Power Query Editor. Hands on Experience in Star and Snowflake schemas and model the data in Power BI as per best practices. 3. Performance Optimization: Optimize Power BI reports and data models for better performance, including managing data refresh and query optimization. Troubleshoot and resolve performance-related issues in reports. 4. Collaboration with Stakeholders: Work with business users to understand their reporting needs and deliver solutions that meet those requirements. Translate business requirements into technical solutions and ensure the final product aligns with business goals. 5. Continuous Improvement: Stay updated on the latest Power BI features and best practices. Suggest and implement improvements to existing reports and processes based on feedback and evolving business needs. Required Technical and Professional Expertise Hands-on experience in designing and developing Power BI dashboards and reports. Strong expertise in DAX (Data Analysis Expressions) for both basic & advanced calculations of KPIs to implement business requirements. Expertise in data extraction, transformation, and loading (ETL) processes from various sources in Power BI. In-depth knowledge in Data Modelling strategies used for creating data models in Power BI. Knowledge of implementing Row-Level Security (RLS) and implement required data permissions to end users of the reports. Experience in Power BI service like Publishing & sharing of reports, creation of Power BI Dashboard at Service, use of Datasets/ Dataflows, Manage accesses etc. Ability to analyse and optimize Power BI report performance, refresh times, and dataset efficiency. Strong understanding of BI methodologies, KPIs, and dashboard storytelling. Excellent communication and collaboration skills to work with cross-functional teams. Manage end-to-end lifecycle of BI projects, from requirements gathering and design to deployment and post-launch support. Preferred Skills Familiarity with cloud-based BI solutions, particularly in the Azure ecosystem. Microsoft Power BI Certification (PL-300, PL-600, or similar) is a plus. Strong problem-solving and analytical skills with attention to detail. Familiarity with Power Automate for automating data refreshes, workflows, and notifications within Power BI. Knowledge of Power BI Mobile for report accessibility across devices.
Role Title: Financial reporting Analyst Experience: 1 - 4 years Location: Noida / Bangalore/ Kolkata/ Mumbai Profile Summary We are looking for Financial reporting Specialist with significant accounting experience. Few highlights of the experience are listed below Oversee and manage the entire accounting function, including AP, AR, GL and reconciliations. Assist with the annual audit process including prepare and analyze financial statements, ensuring accuracy and compliance with regulations. Reconcile Intercompany accounts and transactions. Knowledge of consolidation of manufacturing company will be significant advantage. Review Month close activities for functional cost i.e., accruals, re-classes. Interact with the Business/Accounting teams and internal stakeholders to resolve issues. Manage multiple stakeholders (senior stakeholders from business and finance) and be responsible for supporting the metrics reporting for the relevant process Monitor targets/budgets and course corrections against plan Vs actual, Business & Function wise presentation of monthly Financials and key financial levers will be a part of this role Experience with Anaplan will be an added advantage. Responsibilities Interpreting business needs of stakeholders and translating them into functional and operational requirements. Evaluating business processes, anticipating & documenting requirements, uncovering areas for improvement, and developing and implementing solutions. Performing and documenting the requirements analysis session. Effectively communicating your insights and plans to cross-functional team members and management. Working closely with the Clients, COO, CFO, Business Unit (BU) heads & Managerial Staff. Working with the systems team to translate business requirements into outcomes as financial models, simulation scenarios and reports in the system and helping in quality delivery. Continuously update skill set, expertise, and technical knowledge by attending the required workshops and courses. Self-motivated and pro-active while working and coordinating with team members and providing logical extension to the team whenever required. Compile detailed financial reports using calculations, data, and other client-provided information. Requirements The ideal candidate should have a Chartered Accountant degree, along with 3-5 years of relevant experience in financial reporting. Proactive/self-motivated working style, strong and innovative approach to problem solving and finding solutions. Excellent communicator (written and verbal, formal and informal). Building and maintaining good relationship with clients. Ability to multi-task under pressure and work independently with minimal supervision. Creating the project plan and adhering to the same. Motivating team member to adhering to the project plan. Timely action for any forecasted roadblock. Excellent in conducting reviews at regular intervals, creating and maintaining project documents and presentations for management review and client meetings. Competency in Microsoft applications including Word, Excel, and Power point. Participating in user acceptance testing and undertaking the functionality testing of new system. Developing a training curriculum and conducting formal training sessions covering assigned systems module with clients requirements. Understanding of Scrum and Agile methodology of project management will be an added advantage. Any previous experience of ERP/EPM implementation is an added advantage. Any FP&A, B&P, Management Reporting, Finance team experience in industries such as Pharmaceuticals, CPG, Automotive, BFSI, IT & ITeS, Process Manufacturing, Utilities sector will be an added advantage. About Polestar Polestar Solutions is an IT & Consulting organization helping Enterprises with their Analytics and Planning needs. Our Rockstar team has built multiple products and solutions to cater to our clients across sectors such as Retail & E-commerce, Consumer Goods, Pharmaceuticals & Life Sciences, Real Estate, Hi-tech, Manufacturing, and Automotive. We are considered top of the class in the domain that we serve by our partners and clients. We have a geographic presence in the United States (Dallas) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people, a strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. The list includes: - Ranked number 1 in 2017 as the fastest organization growing in India by Deloitte. Featured 3 years in a row. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for the years 2018 and 2020. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Featured on the Economic Times India's Growth Champions in FY2022. - Recognised as a Clutch Leader for Top IT Services for the FY 2020, 2021 & 2022, and Top Business Analytics Services in India Categories in FY20. Elite Qlik Partner and a member of the Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.
Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow. About Polestar : As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data. We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. The list includes: - Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. Featured on the Economic Times India's Growth Champions in FY2023. Polestar Solutions Selected as a 2022 Red Herring Global Companies. Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant. Indias most promising data science companies in 2022 by Analytics Insight. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Elite Qlik Partner and a member of the Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar. We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.
Key Responsibilities Plan, develop, and execute multi-channel demand generation campaigns (email, social media, webinars, events, paid ads, etc.). Collaborate with sales and marketing teams to identify target audience segments and create personalized outreach strategies. Manage lead nurturing programs to move prospects through the sales funnel. Work closely with content, design, and digital teams to develop compelling marketing assets . Track, analyse, and report campaign performance to optimize ROI. Identify opportunities for ABM (Account-Based Marketing) and high-value lead targeting. Coordinate with external vendors, partners, and event organizers for campaign execution. Maintain and update CRM/marketing automation tools with accurate lead and campaign data. Required Skills & Qualifications Bachelors degree in Marketing, Business Administration, or related field. 02 years of experience in demand generation, B2B marketing, or lead generation (SaaS/IT industry preferred). Strong understanding of digital marketing channels and campaign analytics. Experience with CRM and marketing automation platforms (HubSpot, Salesforce, Marketo, or similar). Excellent written and verbal communication skills. Ability to work collaboratively with cross-functional teams
FIND ON MAP