21713 Tableau Jobs - Page 11

You are a strategic thinker who is passionate about driving solutions in Marketing Analytics. You have found the right team. As a Marketing Analytics Professional within our Private Banking division, you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment. Partner with marketing stakeholders to identify opportunities for leveraging data analytics to solve complex marketing challenges. Develop and maintain dashboards and reports in Tableau to visualize marketing data insights and track key performance indicators (KPIs). Utilize strong SQL and Python coding skills to manipulate and analyze large datasets, and create interactive applications using Streamlit, Dash, or Shiny. Conduct in-depth data exploration and mining to understand client behavior, market opportunities, and campaign effectiveness. Provide data-driven insights and recommendations to support strategic marketing decision-making and enhance client engagement. Foster a data-driven culture by promoting data literacy and encouraging innovative approaches to marketing problem-solving. Technical Proficiency: Strong expertise in Python for data manipulation and analysis, with experience in using libraries such as Pandas, NumPy, SciPy, Scikit-learn, and Matplotlib. Proficiency in SQL for querying and managing large datasets from various data sources. Application Development: Experience with interactive application frameworks like Streamlit, Dash, or Shiny to develop user-friendly data applications that enhance data accessibility and usability. Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or Qlik, with the ability to create interactive and insightful dashboards that effectively communicate complex data insights to stakeholders. Analytical Skills: Demonstrated ability to work with large datasets, perform complex data analysis, and derive actionable insights. Experience in data cleaning, transformation, and modeling to support data-driven decision-making. Problem-Solving: Strong problem-solving skills with the ability to identify issues, analyze data, and develop innovative solutions to complex business challenges. Industry Experience: Experience in the financial services industry, particularly in private banking, wealth management, asset management, or marketing analytics. Communication: Excellent written and verbal communication skills, with the ability to translate data findings into compelling narratives and present them to diverse audiences. Collaboration: Ability to work collaboratively in cross-functional teams, build strong relationships with stakeholders, and contribute to a culture of data-driven decision-making. Preferred Qualifications, Capabilities, and Skills: Advanced degree in Business Analytics, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis and data modeling. Familiarity with machine learning techniques and their application in predictive analytics, including experience with libraries such as Scikit-learn or TensorFlow. Experience in managing data analytics projects from inception to completion, with the ability to prioritize tasks, manage timelines, and deliver high-quality results. Understanding of data governance principles, data quality management, and best practices for ensuring data accuracy and integrity across platforms. A passion for technology and innovation, with a proactive approach to exploring new tools, techniques, and methodologies to enhance data analytics capabilities.,

The Corporate Planning & Management (CPM) Division aligns Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to provide business planning and analytics, expense management, third party risk management, and governance strategies firm-wide. CPM operates through 5 pillars. As an Accounting & Tax Control professional, you will collaborate with various functions within the firm, work independently, and engage with senior professionals. This role requires interaction with global counterparts and demands excellent verbal and written communication skills. Key responsibilities include: - Managing TDS (Withholding tax) and GST (Goods and Sales Tax) processes for India entities - Performing balance sheet reconciliations and accruals - Ensuring accurate VAT/GST/TDS accounting and reconciliation - Facilitating statutory and tax audits - Computing annual US Withholding and issuing tax forms to vendors - Reviewing and reporting annual US 1099 - Managing non-revenue division operating expenses, including ownership and accountability of spend - Identifying opportunities for operational efficiencies and process automation - Verifying General Ledger accuracy by monitoring month-end closure activities/entries Qualifications: - CA qualification with proficiency in Alteryx or Tableau (an advantage) - 2-3 years of relevant experience in finance, accounting, tax, or business management - Strong communication skills (written and verbal) with attention to detail - Solid accounting knowledge - Proficiency in Microsoft Excel and PowerPoint ABOUT GOLDMAN SACHS: Goldman Sachs is a global investment banking, securities, and investment management firm founded in 1869. We are committed to diversity, inclusion, and providing growth opportunities for our employees. Our culture fosters professional and personal growth through training, development, networks, benefits, and wellness programs. Learn more about us at GS.com/careers. We accommodate candidates with special needs or disabilities during our recruiting process. For more information, visit: https://www.goldmansachs.com/careers/footer/disabilitystatement.html. The Goldman Sachs Group, Inc., 2024. All rights reserved.,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in either system design or reading code (e.g., Java, C++, Python, etc.). Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g. Python). Preferred qualifications: Experience in a client facing data analytics role or in presenting data-based narratives to senior stakeholders and partners. Experience working with analytical and narrative tools such as spreadsheets, presentation-software, tableau, data-studio, etc. Experience working with Google’s tools and datasets. Knowledge of R, Python, database management systems, and SQL Workflow management. Ability to multi task and manage conflicting priorities effectively and willingness to learn and implement advanced technical and analytical solutions. Motivated to look into customer business objectives and recommend insights based on market and customer data. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Work with Sales teams and partners (Analytical Consultants and Leads, Industry Managers) and Engagement Managers (gTech Ads Solutions) to develop compelling, integrated, research-based insights and narratives to enhance Google's ability to sell relevant media solutions to clients. Analyze large and complex datasets, convert them into strategic insights and compelling storylines in order to drive customer business objectives and enable client decisions. Utilize insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals to enable sales of Google Media Solutions. Make complex data sets and concepts simple and easy to digest. Develop and maintain robust analytical solutions that can be leveraged across verticals and markets. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in either system design or reading code (e.g., Java, C++, Python, etc.). Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g. Python). Preferred qualifications: Experience in a client facing data analytics role or in presenting data-based narratives to senior stakeholders and partners. Experience working with analytical and narrative tools such as spreadsheets, presentation-software, tableau, data-studio, etc. Experience working with Google’s tools and datasets. Knowledge of R, Python, database management systems, and SQL Workflow management. Ability to multi task and manage conflicting priorities effectively and willingness to learn and implement advanced technical and analytical solutions. Motivated to look into customer business objectives and recommend insights based on market and customer data. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Work with Sales teams and partners (Analytical Consultants and Leads, Industry Managers) and Engagement Managers (gTech Ads Solutions) to develop compelling, integrated, research-based insights and narratives to enhance Google's ability to sell relevant media solutions to clients. Analyze large and complex datasets, convert them into strategic insights and compelling storylines in order to drive customer business objectives and enable client decisions. Utilize insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals to enable sales of Google Media Solutions. Make complex data sets and concepts simple and easy to digest. Develop and maintain robust analytical solutions that can be leveraged across verticals and markets. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

As a member of our Data Analytics team, you will play a crucial role in understanding customers" financial needs and interactions with our products, services, and channels. Your responsibilities will involve various hands-on tasks that require creative thinking, ambition, and a curious attitude towards data. You will be expected to extract valuable insights from data to drive business decisions and strategies effectively. Your typical day will include activities such as identifying patterns of behaviors and events to anticipate customer actions, collaborating with key stakeholders to enhance operational processes, building business cases and test designs for pilot programs, analyzing customer interactions across different channels, developing performance metrics, and creating self-serve tools for real-time decision-making. To excel in this role, you should hold a Bachelor's or Master's Degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science, along with at least 5 years of experience in data science. Your ability to adapt, communicate effectively, and work with large datasets using SQL scripts and data analytics tools like SQL, Python, SAS, Tableau, or Alteryx will be crucial for success. Moreover, having a track record of solving business problems through analytical methods, leveraging insights to influence decision-making, and presenting recommendations to senior management will be highly beneficial. Experience in the financial services industry or consulting firms, familiarity with big data disciplines, AWS, Agile methodologies, and new technologies will be considered as preferred qualifications. In this role, you will have the opportunity to make a significant impact on the business by leveraging data-driven insights to drive customer-centric strategies and operational efficiency. If you are a proactive, analytical thinker with a passion for data analytics and a desire to contribute to the success of a banking office, we encourage you to apply for this position and be a part of our dynamic team.,

Join our team at AIONTECH Solutions, India's leading Business Intelligence and Data analytics company, and be part of an organization that offers tremendous growth opportunities. Whether you are a fresh graduate or an experienced professional, working with us is both challenging and extraordinarily rewarding. We are currently seeking a Sales Manager specializing in Tableau & Alteryx License & Consulting Sales. As a Sales Manager at AIONTECH Solutions, you will be responsible for driving the sales of Tableau & Alteryx licenses along with consulting services to enterprises. You will play a crucial role in the entire sales cycle, from lead generation to closure, and will be instrumental in driving revenue growth. Key Responsibilities: - Drive sales of Tableau & Alteryx licenses and consulting services to enterprises. - Identify and engage with key decision-makers to effectively pitch solutions. - Develop and execute a robust sales strategy to achieve revenue targets. - Manage the complete end-to-end sales cycle, including lead generation, proposal development, negotiation, and deal closure. - Build strong relationships with existing clients and identify cross-selling & up-selling opportunities. - Generate new leads through networking, cold calling, and industry events. - Stay updated on the latest trends in BI, data analytics, and automation. - Collaborate with marketing & presales teams to create compelling sales pitches and product demonstrations. Required Skills & Experience: - 4+ years of experience in B2B software sales, preferably in data analytics or BI solutions. - Strong experience in selling software licenses, particularly Tableau, Alteryx, Power BI, Qlik, or similar BI tools. - Proven track record of meeting or exceeding sales targets. - Ability to manage complex sales cycles and work with multiple stakeholders. - Strong negotiation & communication skills with a consultative selling approach. - A self-starter with high energy, drive, and resilience to thrive in a fast-paced environment. What We Offer: - Competitive salary + performance-based incentives. - Opportunity to work with a fast-growing technology company. - Exposure to leading BI & analytics tools. - A dynamic work environment with career growth opportunities.,

The Data Capability Tooling Sr Analyst role is a senior position that requires a seasoned professional with in-depth disciplinary knowledge. You will contribute to the development of new techniques and process improvements within the data analytics and data analysis domain. Your responsibilities will include performing data analytics across various asset classes and building data science/Tooling capabilities within the team. Collaboration with the Enterprise Data team, particularly the front to back leads, will be essential to deliver business priorities effectively. You will be part of the B & I Data Capabilities team within the Enterprise Data, where you will manage the Data quality/Metrics program and implement improved data governance and data management practices across the region. The focus will be on enhancing Citigroup's approach to data risk and meeting regulatory commitments in this field. Key Responsibilities: - Conduct strategic data analysis, identify insights, and make strategic recommendations, while developing data displays to communicate complex analysis effectively. - Conduct, review, analyze, and build/engineer data capability tools and software components. - Develop and articulate business requirements, map current and future state processes, and advise on operational models tailored to each use case. - Utilize Python and analytical tools to build data science capabilities. - Perform complex data analytics on large datasets, including data cleansing, transformation, joins, and aggregation. - Create analytics dashboards using PowerBI/Tableau. - Produce high-quality business data analysis for asset classes, financial products, systems, and reports in a fast-paced environment. - Communicate findings and propose solutions to stakeholders and convert business requirements into technical design documents. - Collaborate with cross-functional teams and manage testing and implementation processes. - Design, implement, integrate, and test new features, contributing to software architecture improvements and suggesting new technologies. - Demonstrate understanding of how development functions integrate within the business and technology landscape, with a strong focus on the banking industry. - Perform other assigned duties and functions with attention to risk assessment and compliance with laws and regulations. Skills & Qualifications: - Experience in Financial Services or Finance IT. - Familiarity with Data Tracing/Data Lineage/Metadata Management Tools. - Proficiency in Python 3.x and ETL methodology. - Knowledge of BI visualization tools like Tableau and PowerBI. - Strong understanding of RDBMS, such as Oracle and MySQL, and ability to write complex SQL queries. - Experience in working with complex data warehouses and automation tools. - Excellent storytelling and communication skills. - 6-10 years of experience in statistical modeling of large datasets. - Process Improvement or Project Management experience. Education: Bachelor's/University degree, master's degree in information systems, Business Analysis, or Computer Science. Citi is an equal opportunity employer that values diversity and inclusivity in the workplace.,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in either system design or reading code (e.g., Java, C++, Python, etc.). Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g. Python). Preferred qualifications: Experience in a client facing data analytics role or in presenting data-based narratives to senior stakeholders and partners. Experience working with analytical and narrative tools such as spreadsheets, presentation-software, tableau, data-studio, etc. Experience working with Google’s tools and datasets. Knowledge of R, Python, database management systems, and SQL Workflow management. Ability to multi task and manage conflicting priorities effectively and willingness to learn and implement advanced technical and analytical solutions. Motivated to look into customer business objectives and recommend insights based on market and customer data. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Work with Sales teams and partners (Analytical Consultants and Leads, Industry Managers) and Engagement Managers (gTech Ads Solutions) to develop compelling, integrated, research-based insights and narratives to enhance Google's ability to sell relevant media solutions to clients. Analyze large and complex datasets, convert them into strategic insights and compelling storylines in order to drive customer business objectives and enable client decisions. Utilize insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals to enable sales of Google Media Solutions. Make complex data sets and concepts simple and easy to digest. Develop and maintain robust analytical solutions that can be leveraged across verticals and markets. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

As a Data Engineer - Business Intelligence with 3 to 4 years of experience, you will be responsible for designing and creating impactful visualizations using Tableau to meet business requirements. You will work with various databases, blend data, and establish relationships in Tableau. Additionally, you will be developing Custom SQL queries to extract relevant data for business insights and converting business requirements into functional data models for reporting and visualization. Your key responsibilities will include troubleshooting and resolving issues related to data controls and models, ensuring smooth data flow and accuracy. You should have expertise in Tableau, specifically in creating impactful visualizations, and possess strong SQL skills, including advanced SQL such as Joins and Relationships. Experience with Custom SQL for pulling data and working knowledge of data blending and creating relationships in Tableau are also essential for this role. It would be beneficial if you have experience in troubleshooting and debugging data controls. Moreover, having a willingness to learn new technologies, being a team player with a positive attitude, possessing good communication skills, and being self-motivated and adaptable to evolving tasks are considered good-to-have skills. If you are located in Pune and can join within immediate to 15 days, and if you meet the mandatory skills and possess the good-to-have qualities, we encourage you to apply for this position and be a valuable part of our team.,

Job Title: Director- Supply Chain Process Analysis & Optimization GCL- F Introduction to role The Supply Chain Process Analysis and Optimization (SCPA) Director will lead a dynamic team dedicated to developing and implementing digital solutions that enhance AstraZeneca's Global Supply Chain operations. This role is critical to driving digital transformation projects sought at optimizing processes and improving efficiency across various supply chain functions. The SCPAO Director will collaborate closely with multiple collaborators, both internally and externally, to ensure that strategic digital initiatives are successfully driven and aligned with the overall Digital Strategy. Job Title: Supply Chain Process Analysis and Optimization (SCPAO) Director The Supply Chain Process Analysis and Optimization (SCPA) Director will be responsible for leading a dynamic team dedicated to developing and implementing digital solutions that enhance AstraZeneca's Global Supply Chain operations. This role is critical to driving digital transformation projects aimed at optimizing processes and improving efficiency across various supply chain functions. The SCPAO Director will collaborate closely with multiple stakeholders, both internally and externally, to ensure that strategic digital initiatives are successfully executed and aligned with the overall Digital Strategy. Key Responsibilities Project Management: Partner with various Supply Chain functions to understand, define, and scope digital project demands, ensuring clarity in objectives and deliverables. Develop comprehensive business cases that articulate the return on investment, business value, and strategic alignment of proposed initiatives. Secure funding for larger initiatives by championing their value to senior leadership and aligning them with strategic priorities. Oversee the delivery of custom solutions, coordinating with IT and other stakeholders to ensure alignment with the Digital Strategy roadmap. Implement robust business benefit tracking mechanisms to evaluate the success and impact of solutions within their team. Team Leadership: Provide strategic direction and leadership to the SCPAO team, ensuring alignment with the overarching Digital Strategy and business objectives. Develop the capabilities of team members to meet evolving project needs, focusing on skill enhancement and resource availability. Foster a collaborative environment where team members are encouraged to engage with peers and stakeholders to identify innovative solutions to complex problems. Implement performance metrics and reporting systems to monitor team progress and impact. Consultancy: Act as a technical advisor to the Supply Chain Digital and Analytics (SCDNA) team, bringing Supply Chin Expertise with understanding of process mining and process automation to stakeholder discussions and informing strategic decision-making in. Facilitate discussions on the advantages and disadvantages of off-the-shelf solutions versus custom builds, helping stakeholders make informed decisions. Innovation: Continuously scan the technological horizon for new process mining, process optimization and automation solutions and innovations that can be integrated into the Digital Strategy. Develop and showcase innovative use cases that demonstrate the potential of new technologies to the broader Global Supply Chain and Strategy (GSC&S) organization. Stakeholder Management: Manage day-to-day relationships with stakeholders, maintaining alignment on project progress and managing escalations and exceptions When necessary, guide reprioritization decisions within team, seeking input from leadership to drive decision-making and ensure resource alignment. Scope This role has a global remit and will operate internationally to support the digital strategy across AstraZeneca's Global Supply Chain and Strategy, engaging with diverse teams and projects worldwide. Essential A Bachelor's degree in a quantitative field such as Supply Chain, engineering, economics, business administration, Data Science, Informatics, computer science, or statistics or a related discipline. A minimum of 7 years of experience leading supply chain projects in sophisticated and complex environments, focusing on demand planning, forecasting, and logistics. At least 2 years of experience in process optimization and automation projects in a supply chain setting (procurement, planning, manufacturing, logistics), including successful implementation of Robotic Process Automation (RPA) solutions to digitize operational workflows and reduce manual processes. Experience managing teams within data-driven, digital, or analytics-heavy environments, with a focus on process optimization and efficiency improvements. Expertise in statistical analysis, machine learning, and predictive modeling. Proficient in data visualization tools (e.g., Tableau, Power BI). Hands-on experience working with platforms like MS Azure, Databricks, Cloud and is continually able to stay updated with the latest D&A technology. Proficient Knowledge of some key programming fundamentals in Python, Spark, SQL, or similar languages Excellent communication and interpersonal skills, with the ability to influence and collaborate across different levels of the organization Lead and manage negotiations across complex groups to a target outcome Desirable Experience in a consulting role, whether internal or external, providing insights and strategies to drive business improvements. Experience in process mining with tools such as Celonis, Axon, or equivalent, enabling deep analysis and enhancement of business process efficiency. Prior experience working within a global team setting and/or within the pharmaceutical industry. Experience in life sciences and healthcare and working across the drug research and development lifecycle. Experience in Agentic AI for workflow automation When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca is where technology meets an inclusive mindset to cross international boundaries and develop a leading ecosystem. We work in cross-functional teams at scale, bringing together the best minds from across the globe to uncover new solutions. Here we think holistically about how to apply technology, building partnerships inside and out. We drive simplicity and efficiencies to make a real difference. Ready to make an impact? Apply now! Date Posted 28-Jul-2025 Closing Date 28-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Financial Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for leading and coordinating the budgeting and forecasting process, including the short- and long-term projection of earnings and capital over varying economic scenarios. FP&A operates in close cooperation with firmwide groups in each line of business to prepare management reports and presentations for the Operating Committee and the Board of Directors. Support all financial processes and reporting including actuals, budget, forecast of various financial and headcount metrics. Develop, consolidate and present insightful qualitative and quantitative financial analysis including annual budget, quarterly/monthly forecast variances and understand the key business drivers. Create PowerPoint presentations, dashboards, and other reporting for clients and Finance & Business Management team. Drive improvements, enhancing controls and streamlining processes / introducing automation where possible. Build and maintain relationships with both Regional & Global Technology F&BM, P&A community and key Service Providers across IT lines of business as well as enterprise functions (human resources, finance, legal, vendor management, etc.). Participate in business management functions viz., workforce management, headcount location planning & other non-financial metrics for the DDP group. Required qualifications, capabilities, and skills: Minimum of 5 years of financial / accounting & business management / FP&A experience. Bachelors / Masters degree in Business, Finance, Accounting or Intermediate/Final qualified CA, CWA or CS. Strong relationship management skills to interface with various stakeholders. Detail-oriented individual capable of completing reporting and analytics accurately, on a timely basis, and in a presentable manner. Excellent written and verbal communication skills necessary. Preferred qualifications, capabilities, and skills: Prior work experience in Corporate finance / Technology finance preferred. Working knowledge on Tableau and Alteryx will be an added advantage. Experience with financial systems (EssBase, SAP) preferred. Should be flexible to work in EMEA shifts.,

This role is for one of our clients in the Operations industry based in NCR. As a mid-senior level professional with at least 7 years of experience, you will be responsible for leading the development and scaling of the Revenue Strategy & Operations function. Your role will involve a hands-on approach in designing and implementing strategic initiatives that drive scalable growth by aligning business strategy, systems design, and go-to-market execution. You will have the opportunity to establish and oversee the entire RevOps function, supported by executives, allowing you the freedom to innovate and take ownership of this crucial aspect of the business. Your primary responsibilities will include building and defining the RevOps function by creating frameworks, processes, and tools that enhance Marketing, Sales, and Customer Success operations. Additionally, you will be tasked with defining key revenue metrics, ensuring alignment across GTM teams, and developing playbooks to enhance overall performance. As a leader in this role, you will drive revenue forecasting, pipeline analytics, and performance tracking throughout the customer lifecycle. You will also serve as an expert advisor on RevOps best practices, influencing internal teams and client outcomes. Moreover, you will be responsible for leading a high-performing team of revenue analysts, systems architects, and operations specialists, fostering a culture of experimentation and continuous improvement. Innovation will be a key focus as you establish a Revenue Operations Innovation Hub to integrate AI tools, automate workflows, and optimize the RevOps tech stack for scalable growth. Your accountability will extend to the revenue, profitability, and growth of the RevOps service lines, as well as creating service offerings that meet evolving client needs. Regular reporting on financial health, delivery KPIs, and strategic impact will be essential in this role. To excel in this position, you should have at least 8 years of experience in Revenue Operations, Business Operations, or GTM Strategy, preferably in a fast-paced SaaS or consulting environment. You must demonstrate a track record of building and leading RevOps teams or services practices, along with deep technical knowledge of RevOps tools and systems. Strong leadership, communication, and financial acumen are crucial, as well as the ability to translate GTM strategy into actionable plans and drive innovation in RevOps. If you have experience in packaging services or launching new revenue service lines, it would be considered a bonus. Join us in this exciting opportunity to shape and drive the Revenue Strategy & Operations function, making a significant impact on the organization's growth and success.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking for Senior Level Consultants with expertise in Data Modelling, Data Integration, Data Manipulation, and analysis to join the SCT group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on Data Warehouse Modelling consultant who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs. The ideal candidate must have a good understanding of the value of data warehouse and ETL and proven experience in delivering solutions to different lines of business and technical leadership. **Your Key Responsibilities** - A minimum of 5+ years of experience into BI/Data integration/ETL/DWH solutions in cloud and on-premises platforms such as Informatica/PC/IICS/Alteryx/Talend/Azure Data Factory (ADF)/SSIS/SSAS/SSRS and experience on any reporting tool like Power BI, Tableau, OBIEE, etc. - Performing Data Analysis and Data Manipulation as per client requirements. - Expert in Data Modelling to simplify business concepts. - Create extensive ER Diagrams to help business in decision making. - Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using data integration technologies. - Should be able to develop sophisticated workflows & macros (Batch, Iterative, etc.) in Alteryx with enterprise data. - Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool. - Perform end-to-end Data validation to maintain accuracy of data sets. - Support client needs by developing SSIS Packages in Visual Studio (version 2012 or higher) or Azure Data Factory (Extensive hands-on experience implementing data migration and data processing using Azure Data Factory). - Support client needs by delivering Various Integrations with third-party applications. - Experience in pulling data from a variety of data source types using appropriate connection managers as per Client needs. - Develop, Customize, Deploy, maintain SSIS packages as per client business requirements. - Should have thorough knowledge in creating dynamic packages in Visual Studio with multiple concepts such as - reading multiple files, Error handling, Archiving, Configuration creation, Package Deployment, etc. - Experience working with clients throughout various parts of implementation lifecycle. - Proactive with Solution-oriented mindset, ready to learn new technologies for Client requirements. - Analysing and translating business needs into long-term solution data models. - Evaluating existing Data Warehouses or Systems. - Strong knowledge of database structure systems and data mining. **Skills And Attributes For Success** - Deliver large/medium DWH programmes, demonstrate expert core consulting skills and advanced level of ODI, Informatica, SQL, PL/SQL, Alteryx, ADF, SSIS, SSAS knowledge, and industry expertise to support delivery to clients. - Demonstrate management and an ability to lead projects or teams individually. - Experience in team management, communication, and presentation. **To qualify for the role, you must have** - 5+ years ETL experience as Lead/Architect. - Expertise in the ETL Mappings, Data Warehouse concepts. - Should be able to design a Data Warehouse and present solutions as per client needs. - Thorough knowledge in Structured Query Language (SQL) and experience working on SQL Server. Experience in SQL tuning and optimization using explain plan and SQL trace files. - Should have experience in developing SSIS Batch Jobs Deployment, Scheduling Jobs, etc. - Building Alteryx workflows for data integration, modelling, optimization, and data quality. - Knowledge of Azure components like ADF, Azure Data Lake, and Azure SQL DB. - Knowledge of data modelling and ETL design. - Design and develop complex mappings, Process Flows and ETL scripts. - In-depth experience in designing the database and data modelling. **Ideally, you'll also have** - Strong knowledge of ELT/ETL concepts, design, and coding. - Expertise in data handling to resolve any data issues as per client needs. - Experience in designing and developing DB objects such as Tables, Views, Indexes, Materialized Views and Analytical functions. - Experience of creating complex SQL queries for retrieving, manipulating, checking, and migrating complex datasets in DB. - Experience in SQL tuning and optimization using explain plan and SQL trace files. - Candidate ideally should have ideally good knowledge of ETL technologies/tools such as Alteryx, SSAS, SSRS, Azure Analysis Services, Azure Power Apps. - Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. - Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. - Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc. will be preferred. - Experience with Cloud databases and multiple ETL tools. **What We Look For** The incumbent should be able to drive ETL Infrastructure related developments. Additional knowledge of complex source system data structures preferably in Financial services (preferred) Industry and reporting related developments will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries. **What Working At EY Offers** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around - Opportunities to develop new skills and progress your career - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

About Saarthee Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind : Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. About The Role We are seeking experienced and motivated Capital Markets Analysts to join our dynamic team. The ideal candidate will have strong technical skills in SQL and Python combined with an in-depth understanding of trading, risk management, and post-trade operations. This role requires close collaboration with business teams to drive data-driven decision-making and operational efficiency across capital markets functions. Key Responsibilities Develop and maintain complex SQL queries and Python scripts to support analytics across trading, risk, and reference data. Partner with trading, risk, and compliance teams to convert business requirements into scalable technical solutions. Automate manual workflows and assist in building internal tools for trade processing and reconciliation. Contribute to post-trade optimization efforts with a focus on T+1 settlement and evolving regulatory reporting needs. Create and maintain technical documentation, data dictionaries, and internal control frameworks. Support cross-functional initiatives to improve data transparency and operational workflows. Must-Have Skills 48 years of experience in capital markets, preferably within trading, risk analytics, or operations. Strong command of SQL (advanced queries, data aggregation) and Python for analytics and automation. Sound understanding of financial instruments such as equities, fixed income, and derivatives. Familiarity with the trade lifecycle, market data structures, and post-trade processes. Exposure to regulatory frameworks such as T+1, Dodd-Frank, or Basel is advantageous Excellent problem-solving, communication, and stakeholder management skills Proficiency in data visualization tools like Power BI or Tableau is a plus. Experience with cloud platforms such as Azure or AWS is desirable. Bachelors or Masters degree in Finance, Economics, Computer Science, or related fields. Additional Information This job description summarizes the core responsibilities and qualifications of the position. It is not an exhaustive list of all possible duties. Other responsibilities may be assigned as required. Why Join Us?? Opportunity to work on industry-leading SoC and silicon designs. Collaborate with elite semiconductor design and verification teams. Career advancement in a high-growth and innovative environment. Competitive compensation with long-term opportunities. Bootstrapped and financially stable with high pre-money evaluation. Additional compensation tied to Renewal and Pilot Project Execution. (ref:hirist.tech)

As a Senior Data Engineer, you will play a crucial role in supporting the Global BI team for Isolation Valves as they transition to Microsoft Fabric. Your primary responsibilities will involve data gathering, modeling, integration, and database design to facilitate efficient data management. You will be tasked with developing and optimizing scalable data models to cater to analytical and reporting needs, utilizing Microsoft Fabric and Azure technologies for high-performance data processing. Your duties will include collaborating with cross-functional teams such as data analysts, data scientists, and business collaborators to comprehend their data requirements and deliver effective solutions. You will leverage Fabric Lakehouse for data storage, governance, and processing to back Power BI and automation initiatives. Additionally, your expertise in data modeling, particularly in data warehouse and lakehouse design, will be essential in designing and implementing data models, warehouses, and databases using MS Fabric, Azure Synapse Analytics, Azure Data Lake Storage, and other Azure services. Furthermore, you will be responsible for developing ETL processes using tools like SQL Server Integration Services (SSIS), Azure Synapse Pipelines, or similar platforms to prepare data for analysis and reporting. Implementing data quality checks and governance practices to ensure data accuracy, consistency, and security will also fall under your purview. You will supervise and optimize data pipelines and workflows for performance, scalability, and cost efficiency, utilizing Microsoft Fabric for real-time analytics and AI-powered workloads. Your role will require a strong proficiency in Business Intelligence (BI) tools such as Power BI, Tableau, and other analytics platforms, along with experience in data integration and ETL tools like Azure Data Factory. A deep understanding of Microsoft Fabric or similar data platforms, as well as comprehensive knowledge of the Azure Cloud Platform, particularly in data warehousing and storage solutions, will be necessary. Effective communication skills to convey technical concepts to both technical and non-technical stakeholders, the ability to work both independently and within a team environment, and the willingness to stay abreast of new technologies and business areas are also vital for success in this role. To excel in this position, you should possess 5-7 years of experience in Data Warehousing with on-premises or cloud technologies, strong analytical abilities to tackle complex data challenges, and proficiency in database management, SQL query optimization, and data mapping. A solid grasp of Excel, including formulas, filters, macros, pivots, and related operations, is essential. Proficiency in Python and SQL/Advanced SQL for data transformations/Debugging, along with a willingness to work flexible hours based on project requirements, is also required. Furthermore, hands-on experience with Fabric components such as Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration, and Semantic Models, as well as advanced SQL skills and experience with complex queries, data modeling, and performance tuning, are highly desired. Prior exposure to implementing Medallion Architecture for data processing, experience in a manufacturing environment, and familiarity with Oracle, SAP, or other ERP systems will be advantageous. A Bachelor's degree or equivalent experience in a Science-related field, with good interpersonal skills in English (spoken and written) and Agile certification, will set you apart as a strong candidate for this role. At Emerson, we are committed to fostering a workplace where every employee is valued, respected, and empowered to grow. Our culture encourages innovation, collaboration, and diverse perspectives, recognizing that great ideas stem from great teams. We invest in your ongoing career development, offering mentorship, training, and leadership opportunities to ensure your success and make a lasting impact. Employee wellbeing is a priority for us, and we provide competitive benefits plans, medical insurance options, Employee Assistance Program, flexible time off, and other supportive resources to help you thrive. Emerson is a global leader in automation technology and software, dedicated to helping customers in critical industries operate more sustainably and efficiently. Our commitment to our people, communities, and the planet drives us to create positive impacts through innovation, collaboration, and diversity. If you seek an environment where you can contribute to meaningful work, develop your skills, and make a difference, join us at Emerson. Let's go together towards a brighter future.,

Job Title : Business Intelligence (BI) Analyst Experience : 2 - 4 Years Location : Bangalore / Hyderabad (Work from Office) Employment Type : Full Time Job Description We are seeking a skilled and analytical Business Intelligence Analyst to join our data-driven team. The ideal candidate should have hands-on experience with Tableau, Power BI, and SQL, and be able to transform raw data into meaningful business insights that help stakeholders make informed decisions. You will collaborate with cross-functional teams and contribute to the continuous improvement of our data strategy. Key Roles And Responsibilities Data Analysis & Reporting : Design, develop, and maintain interactive dashboards and reports using Tableau and Power BI. Extract, clean, and transform data from multiple sources using SQL for business reporting. Create visualizations and KPIs that help stakeholders monitor performance and trends. Business Insights & Strategy Collaborate with product, marketing, finance, and operations teams to gather reporting requirements. Perform deep-dive analyses to uncover actionable insights for growth, efficiency, and decision-making. Present analytical findings to stakeholders through compelling storytelling and visuals. Data Management & Optimization Develop and maintain ETL processes for data consistency and quality. Work closely with data engineering teams to validate datasets and troubleshoot inconsistencies. Optimize BI tools and dashboards for performance and scalability. Process Improvement & Automation Identify opportunities to automate recurring reporting tasks. Suggest improvements to existing BI frameworks and business processes. Collaboration & Documentation Document BI reports, SQL queries, and data models for cross-functional understanding. Train non-technical users on using self-service BI tools and dashboards. Key Skills Required Strong proficiency in Tableau and Power BI (dashboard design, DAX, data modeling). Advanced SQL skills for data extraction, joins, and aggregations. Understanding of data warehousing concepts and BI architecture. Good analytical thinking and problem-solving mindset. Excellent communication and stakeholder management skills. (ref:hirist.tech)

As a highly experienced Mid-Senior Level Data Scientist with 10-15 years of experience in the banking sector, you will be responsible for leading strategic data analysis initiatives to generate critical insights and trends. Your expertise in developing and deploying advanced predictive models using statistical and machine learning techniques will drive business outcomes and innovation. Additionally, you will be instrumental in implementing data governance frameworks, evaluating cutting-edge technologies, and fostering cross-functional collaboration to align data-driven strategies with organizational goals. Your key responsibilities will include: - Leading strategic data analysis projects on large datasets to identify trends and anomalies crucial for banking operations. - Designing, developing, and deploying advanced predictive models to enhance business outcomes and drive innovation. - Developing and implementing data governance frameworks to ensure data quality, integrity, and compliance with regulatory standards. - Evaluating and implementing innovative technologies to improve data analytics capabilities and support business growth. - Collaborating with various departments to execute data-driven strategies and initiatives. - Mentoring and guiding junior data scientists and analysts to foster continuous learning and innovation. - Preparing and delivering detailed reports and presentations to senior management and stakeholders. - Keeping abreast of industry trends and emerging technologies to enhance analytical capabilities and drive business value. The qualifications required for this role include: - A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; a Master's or PhD degree is preferred. - 10-15 years of hands-on experience in data science, with a significant portion in the banking or financial services industry. - Proficiency in programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Expertise in machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong understanding of database management systems, data warehousing solutions, and big data technologies. - Superior analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights. - Exceptional written and verbal communication skills to effectively present technical information to non-technical stakeholders and executive leadership. Preferred qualifications for this role include comprehensive domain knowledge of banking processes, relevant certifications, project management experience, and strong soft skills such as strategic thinking and attention to detail.,

You are a strategic thinker passionate about driving solutions in Controls Management. You have found the right team. As a Control Management - Associate within the Corporate and Investment Banking Controls team, you will spearhead initiatives in Controls Management, playing a pivotal role in advancing the digital strategy and fostering innovation and transformation across India and various global locations. You will oversee process automation projects, perform data analysis, manage projects and stakeholder relationships, and develop scalable solutions, all while nurturing connections with both internal and external stakeholders. Lead process automation engagements, including requirements gathering, solution architecture, development, testing, deployment, and continuous improvement, adhering to firm standards, controls, and intelligence automation solutions governance. Conduct data analysis and business process workflow analysis with strong analytical skills and understanding of Business & products. Manage projects, stakeholders, and track progress to ensure timely delivery. Cultivate and manage relationships with internal and external stakeholders, including senior management, leading discussions with clear outcomes and actions. Provide executive reporting and dashboard solutions to senior management. Design scalable and sustainable solutions, undertaking development as needed. Identify and drive scalable Intelligent Automation opportunities across front office markets business units, regionally and globally. Required Qualifications, Capabilities, and Skills: - Bachelors degree in computer science, Information Technology, or a related field. - Minimum 6+ years of experience in automation and AI development. - Proficiency in tools such as Alteryx, UiPath, Pega / workflow, Tableau, and Python. - Experience in articulating incubation and proof of concept ideas, demonstrating value through execution. - Ability to manage ambiguity and be solution oriented around problem solving. - Ability to multi-task, with proven problem-solving skills and a demonstrated ability to drive issues to resolution. - Commitment to diversity, inclusivity of thought, excellence in execution, and attention to detail. Preferred Qualifications, Capabilities, and Skills: - Certification in multiple tools such as Alteryx, UiPath, Pega, Tableau, and Python is an advantage. - Understanding of the Banking Product and function is preferred. - Knowledge around AI/ML is preferred. - Project management experience is preferred.,

As a Software Engineer, you will play a crucial role in developing various tools and features for Data and ML platforms at the organization. Your responsibilities will include working on projects related to data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will have the opportunity to either create custom solutions from scratch or customize existing open-source products to meet the specific needs of the company. The ideal candidate for this role is someone who enjoys tackling challenges, solving problems creatively, excels in collaborative environments, and is capable of delivering high-quality software within tight deadlines and constraints. This position will involve the development of innovative tools and frameworks that can enhance the capabilities of third-party BI tools through APIs. To qualify for this role, you should have a minimum of 4 years of hands-on experience with programming languages such as Java, Python, or Scala. Additionally, you should possess expertise in designing and implementing scalable microservices and Rest APIs, as well as hands-on experience with SQL and NoSQL databases. Experience in building and deploying cloud-native applications on platforms like AWS, GCP, or others is essential. Proficiency in DevOps tools, containers, and Kubernetes is also required. Strong communication and interpersonal skills are necessary for effective collaboration with cross-functional teams, along with a strong sense of ownership towards project deliverables. Preferred qualifications for this role include knowledge of Big Data technologies and platforms, familiarity with distributed computing frameworks like Spark, and experience with SQL query engines such as Trino and Hive. Previous exposure to AI/ML and Data Sciences domains would be advantageous, as well as proficiency in JavaScript libraries and frameworks like React. Experience with Business Intelligence (BI) platforms like Tableau, ThoughtSpot, and Business Objects is considered a plus. In terms of education and experience, a relevant academic background coupled with hands-on experience in software development is preferred. The successful candidate should be proactive, detail-oriented, and capable of working effectively in a fast-paced environment. If you are passionate about developing cutting-edge solutions in the field of data and ML, this role offers an exciting opportunity to contribute to impactful projects and drive innovation within the organization.,

You are looking for a highly motivated Business Intelligence Engineer to join the team of one of our MNC clients in Pune. As a BI Engineer, you will be responsible for developing, maintaining, and optimizing BI dashboards and reports to support both operational and strategic decision-making. Your key responsibilities will include designing, developing, and maintaining BI dashboards using tools such as Cognos, Tableau, or Power BI. You will also perform data extraction, transformation, and loading (ETL) to meet reporting needs and analyze structured and semi-structured data to provide actionable insights. Collaborating with business stakeholders to gather requirements and deliver ad-hoc analytical support will be crucial. Additionally, you will validate data accuracy and ensure the performance optimization of dashboards and reports. Continuously enhancing BI solutions to align with evolving KPIs and business needs will also be part of your role. To excel in this position, you should have strong experience with BI tools like Cognos, Power BI, or Tableau. A good understanding of SQL for data querying and report building is essential, along with familiarity with Cognos Cubes and metadata modeling. Excellent communication and problem-solving skills are required, as you will be translating business needs into technical solutions effectively. If you are a proactive individual with a passion for BI engineering and possess the necessary technical skills, this role offers an exciting opportunity to contribute to impactful decision-making processes within the organization.,

You are a detail-oriented and analytical Data Analyst responsible for collecting, processing, analyzing, and interpreting large sets of data to provide actionable insights supporting decision-making and enhancing business outcomes. You will gather, organize, and validate data from various sources, clean and preprocess raw data, analyze trends and correlations, and provide insights to stakeholders. Additionally, you will create dashboards and reports, develop data models, collaborate with cross-functional teams, conduct ad-hoc analysis, and stay updated with industry trends for continuous improvement. You hold a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Proficiency in data analysis tools like Excel, SQL, Python, or R is required, along with experience in data visualization tools such as Tableau or Power BI. A strong understanding of statistical methods, problem-solving skills, and the ability to communicate complex data findings to non-technical stakeholders are essential. You should possess attention to detail, ability to work with large datasets, and work both independently and collaboratively within a team. This is a full-time, permanent position with benefits including health insurance and provident fund. The work schedule includes day shifts, morning shifts, and weekend availability, with a yearly bonus. The work location is in person.,

You are a forward-thinking Digital Solutions Analyst with a strong foundation in product development, AI, and data science. Your role involves driving innovative, data-driven digital solutions across the business by bridging the gap between business needs and technical solutions. Leveraging AI and data insights, you guide product strategy, development, and optimization. You will collaborate with cross-functional teams to identify digital opportunities and define solution requirements. Your responsibilities include translating business needs into functional requirements, supporting end-to-end product development lifecycles, and utilizing AI/ML and data science tools for insights and advanced analytics solutions. Additionally, you will analyze business processes for digital transformation, design dashboards for decision-making, and evaluate third-party tools relevant to digital and AI solutions. To qualify for this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, Business, or a related field, along with 16+ years of experience in digital solutions, product development, or data analytics. You must be proficient in AI/ML frameworks, data analysis tools, and product management methodologies. Preferred qualifications include experience in cloud environments, familiarity with APIs, and certification in relevant areas. Your soft skills should include strong stakeholder engagement and communication abilities, a curious and innovative mindset, and the ability to manage multiple projects effectively while prioritizing tasks. If you have a passion for emerging technologies and a proactive approach to problem-solving, you are the ideal candidate for this role.,

Job Description – Digital Transformation- Business Analyst Position Title, Responsibility Level Mid-Junior- Business Analyst Function - Digital Reports to Manager/Sr. Manager Regular/Temporary: Regular Grade – B2 Location Noida, India Objectives Of The Role We are seeking an experienced Business Analyst to collaborate with business and relevant stakeholders to understand business needs, translate them into functional specifications, and support the end-to-end delivery of effective and scalable solutions. The Business Analyst plays a critical role in driving business performance through process optimization, system improvements, and data-driven decisions. The Business Analyst will help drive process improvement, data-driven decisions, and the successful delivery of technology and business initiatives. Track project progress, ensure scope alignment, and update stakeholders with regular reports and dashboards. Responsibilities Work closely with business users, product owners, and technical teams to gather and document detailed business and functional requirements. Develop and maintain BRDs (Business Requirement Documents), FRDs (Functional Requirements Documents), and user stories. Create process flow diagrams, data flow diagrams, wireframes, and mockups using tools like Visio etc. Analyze existing processes and systems to identify gaps, inefficiencies, and opportunities for automation or enhancement. Facilitate requirement workshops, stakeholder interviews, and cross-functional meetings. Collaborate with QA teams to define test scenarios, review test cases, and support UAT (User Acceptance Testing). Translate complex business needs into clear technical requirements for developers and data teams. Track project progress, ensure scope alignment, and update stakeholders with regular reports and dashboards. Assist with change management, user training, and documentation to support new system rollouts or process changes. Maintain a strong traceability matrix to ensure all requirements are accounted for throughout the SDLC. Demonstrate excellent communication, analytical thinking, and problem-solving abilities in high-pressure delivery environments. Skills Technical Skills Strong understanding of SDLC, Agile/Scrum and Waterfall methodologies. Hands-on experience with tools like JIRA, Confluence, MS Excel, PowerPoint, and MS Visio. Working knowledge of SQL for querying data and performing basic analysis. Exposure to data analysis and visualization tools like Power BI, Tableau, or Excel PivotTables. Familiarity with APIs, system integration concepts, and data mapping (preferred). Soft Skills (Desired) Excellent analytical and problem-solving skills. Strong verbal and written communication to interact with stakeholders at all levels. High attention to detail and documentation accuracy. Effective time management and task prioritization in a fast-paced environment. Ability to manage multiple initiatives simultaneously with minimal supervision. Collaborative mindset and adaptability to changing business needs. Education Requirements Bachelor’s degree in business administration MBA or Postgraduate Diploma in Business Analytics / Information Technology (preferred but not mandatory). ASM will be preferred Work Experience Requirements Must Have: 3–5 years of experience as a Business Analyst in relevant domains like BFSI, F&A, Healthcare, Retail or EBU etc. Prior experience in process mapping, requirement gathering, documentation, and stakeholder management is essential. Demonstrated success in delivering business or system enhancements using structured analysis and agile practices. Experience in consulting or client-facing environments, with a focus on managing client expectations and requirements. Preferred Skills Certifications such as PMI-PBA, or Agile BA. Knowledge of data governance and MDM concepts. Experience working with cloud environments (AWS, Azure), RPA tools (UiPath, Automation Anywhere) or SaaS-based platforms. Knowledge of UI/UX design basics or prototyping tools like Figma OR Balsamiq Understanding of KPIs and business performance metrics to support data-driven recommendations.

Job Description Data Engineer We at Pine Labs are looking for those who share our core belief - Every Day is Game day. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services. Role Purpose We are looking for skilled Data Engineers with 4-12 years of experience to join our growing team. You will design, build, and optimize real-time and batch data pipelines, leveraging AWS cloud technologies and Apache Pinot to enable high-performance analytics for our business. This role is ideal for engineers who are passionate about working with large-scale data and real-time processing. Responsibilities We Entrust You With Data Pipeline Development : Build and maintain robust ETL/ELT pipelines for batch and streaming data using tools like Apache Spark, Apache Flink, or AWS Glue. Develop real-time ingestion pipelines into Apache Pinot using streaming platforms like Kafka or Kinesis. Real-Time Analytics Configure and optimize Apache Pinot clusters for sub-second query performance and high availability. Design indexing strategies and schema structures to support real-time and historical data use cases. Cloud Infrastructure Management Work extensively with AWS services such as S3, Redshift, Kinesis, Lambda, DynamoDB, and CloudFormation to create scalable, cost-effective solutions. Implement infrastructure as code (IaC) using tools like Terraform or AWS CDK. Performance Optimization Optimize data pipelines and queries to handle high throughput and large-scale data efficiently. Monitor and tune Apache Pinot and AWS components to achieve peak performance. Data Governance & Security Ensure data integrity, security, and compliance with organizational and regulatory standards (e.g., GDPR, SOC2). Implement data lineage, access controls, and auditing mechanisms. Collaboration Work closely with data scientists, analysts, and other engineers to translate business requirements into technical solutions. Collaborate in an Agile environment, participating in sprints, standups, and retrospectives. Relevant Work Experience 4-12 years of hands-on experience in data engineering or related roles. Proven expertise with AWS services and real-time analytics platforms like Apache Pinot or similar technologies (e.g., Druid, ClickHouse). Proficiency in Python, Java, or Scala for data processing and pipeline development. Strong SQL skills and experience with both relational and NoSQL databases. Hands-on experience with streaming platforms such as Apache Kafka or AWS Kinesis. Familiarity with big data tools like Apache Spark, Flink, or Airflow. Strong problem-solving skills and a proactive approach to challenges. Excellent communication and collaboration abilities in cross-functional teams. Preferred Qualifications Experience with data lakehouse architectures (e.g., Delta Lake, Iceberg). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Exposure to monitoring tools like Prometheus, Grafana, or CloudWatch. Familiarity with data visualization tools like Tableau or Superset. What We Offer Competitive compensation based on experience. Flexible work environment with opportunities for growth. Work on cutting-edge technologies and projects in data engineering and analytics. What We Value In Our People You take the shot : You Decide Fast and You Deliver Right You are the CEO of what you do: you show ownership and make things happen You own tomorrow : by building solutions for the merchants and doing the right thing You sign your work like an artist: You seek to learn and take pride in the work you do (ref:hirist.tech)

As a Distributor Business Manager at our esteemed client in New Delhi, you will play a pivotal role in managing distributor relationships and retailers. Your responsibilities will include conducting monthly performance reviews of 4-5 distributors, tracking and enhancing their performance to drive Castrol sales results, and achieving targets for revenue, reach, and profitability. You will work closely with the Regional Manager to address underperformance, develop action plans, and execute strategies to bridge performance gaps. Additionally, you will be instrumental in managing sales processes, acquiring new customers, and utilizing digital tools for effective territory management. To excel in this role, you must possess 5-8 years of experience in B2C channel sales, particularly in managing distributors and third-party relationships. Your background should include working with leading manufacturers in sectors such as Food, Home Care, Personal Care, or Refreshment products. Proficiency in territory management, familiarity with digital tools like Salesforce, Power BI, Tableau, and a valid car driving license are essential requirements for this position. Moreover, you should be comfortable with frequent travel within the Bihar area. If you have a minimum Bachelor's Degree in Engineering, Technology, Mechanical, Automobile, Chemical, Production, or Electrical, it will be considered a significant advantage. Join us in this dynamic environment where limitless success awaits, and be part of a team dedicated to achieving excellence in the lubricant industry.,