6244 Data Analytics Jobs - Page 16

You will be part of a company that is dedicated to changing the world through digital experiences. Adobe provides tools for emerging artists and global brands to design and deliver exceptional digital experiences. The company is passionate about empowering individuals to create beautiful images, videos, and apps, and revolutionizing how companies engage with customers across various platforms. As a senior member of the APAC Marketing team, you will play a crucial role in developing, implementing, and optimizing the India DME Digital marketing strategy for Creative Cloud and Document Cloud. Your responsibilities include formulating and executing marketing strategies that enhance awareness, engagement, and conversion rates for Adobe's product portfolios in India. Key responsibilities include collaborating with cross-functional teams to develop and execute full-funnel marketing programs, driving marketing innovation, project management of campaign launches, managing budgets, and contributing to quarterly business and marketing reviews. You will utilize data analytics and market insights to identify growth opportunities and optimize marketing strategies. The ideal candidate should have a proven track record in delivering business growth through marketing programs, at least 10 years of experience in B2C digital marketing in India, strong analytical skills, and exceptional communication abilities. Additionally, experience in full-funnel campaigns, working with agencies, and a customer-first approach are essential. Proficiency in project management, navigating a matrix organization, and influencing stakeholders at all levels is crucial for success in this role. A relevant bachelor's degree is required, and knowledge of Adobe products is highly desirable. Proficiency in spoken and written English is necessary, and proficiency in additional languages for India is valued. If you require accommodation to navigate the website or complete the application process due to a disability or special need, please contact accommodations@adobe.com or call (408) 536-3015. Adobe upholds policies to ensure a free and open marketplace for all employees, prohibiting illegal agreements with other companies to restrict recruitment or hiring practices.,

As a seasoned data leader, you will play a pivotal role in influencing, initiating, and inspiring data-driven decisions across all value streams and KPIs. Your primary responsibilities will include utilizing data to uncover insightful issues and opportunities, collaborating with function heads to address challenges and leverage prospects, and guiding strategic decisions on organizational priorities. Furthermore, you will lead the application of data analytics and applied data science for various business problems such as churn prevention, margin optimization, marketing spends optimization, LTV estimation, demand forecast, prescription interpretation, and discount discrimination. With a minimum of 8 years of experience in data analytics, business intelligence, and data science, including 3 years in a managerial capacity, you will bring a top-tier business acumen and outcome orientation to the forefront. This leadership role requires continuous identification of opportunities and delivering on them by engaging with stakeholders and executives in a visible manner. Your demonstrated track record of applying deep technical expertise to diagnose and solve business problems effectively will be crucial in this role, emphasizing strategizing, application, and execution over cutting-edge research. In this role, it would be advantageous to have at least 2 years of experience in ecommerce, including exposure to the pharmacy space. Hands-on experience with the modern data stack, such as MCPs and Vector DBs, as well as informed opinions on designing scalable and future-proof data infrastructure in early-stage startups, will be considered beneficial. Throughout the selection process, we will evaluate candidates based on their data leadership skills, technical proficiency in tools like Tableau, SQL, and Python, and deep relevant knowledge in the practical application of data science and machine learning solutions for the retail and ecommerce sector. While this is a leadership position, we value individuals who can maintain a close connection to the technical aspects of the work. As part of our team, you will have the opportunity to take on a high-visibility role in a flat organization, working directly with founders and seasoned leaders. Competitive compensation packages including ESOPs, a challenging yet rewarding problem space focused on affordable generic medicines, and a supportive and outcome-driven work environment are some of the benefits we offer. Join us on a journey to make a meaningful impact on the lives of millions of individuals by leveraging data and technology to drive positive change.,

Work with US based Clients - Analyze purchasing & inventory data & trends - Communicate with vendors & get vendor bids *Prior experience working at Hilton, Marriott, or IHG is a plus *Exceptional English communication skills to work with US clients

The Associate Director, Data Engineering will serve as a strategic leader within our Data & Analytics team, responsible for the development and delivery of scalable, secure, and high-performance data pipelines and analytical models. This individual will play a critical role in shaping the enterprise data ecosystem, driving innovation across analytics and data integration initiatives, and ensuring operational excellence in data engineering practices. You will lead a global team of data engineers to support enterprise-wide analytics across Sales, Marketing, Services, Customer Success, Finance, HR, Product, and Engineering. As a technical leader, you will balance hands-on contributions with strategic direction, governance, and execution oversight. Youll collaborate closely with enterprise architects, data & reporting analysts, data scientists, and business stakeholders to enable actionable insights and build a modern data infrastructure that supports our company’s growth. This role goes beyond traditional BI—it includes developing predictive models, uncovering insights with Gen AI-powered features to drive data driven decision making . You’ll use tools like Python, Snowflake Cortex , alongside SQL, DBT, Air Flow, and Snowflake to deliver scalable solutions that influence strategy and execution across the enterprise. In this role, you will... Provide strategic and technical leadership to the data engineering function, including architecture, development, quality, and delivery of data solutions. Lead and mentor a global team of engineers to build and support robust, performant data pipelines using Snowflake, DBT, Python, and AWS-based infrastructure. Partner with Business Stakeholders, Data Governance, and IT teams to define and execute a multi-year roadmap for data platform modernization and analytics enablement. Own the ETL/ELT development lifecycle—including design, orchestration, configuration, automation, testing, and support—ensuring adherence to SDLC, architectural standards, and security practices. Establish and enforce scalable best practices for data ingestion, transformation, modeling, documentation, and operational support. Define current and future state BI and data engineering architectures to support enterprise reporting, self-service analytics, and advanced data science use cases. Drive adoption of modern tools, techniques, and reusable frameworks that increase engineering velocity and reliability (e.g., CI/CD for data pipelines, automated testing, monitoring). Proactively identify areas for data quality, performance, and process improvement across the data pipeline ecosystem, lead remediation efforts. Act as an escalation point for complex production issues and strategic project deliverables. Serve as a technical thought leader and advocate for data engineering practices across the organization. You have what it takes if you have... 12+ years of experience in data engineering, data integration, or data architecture roles, including 4+ years leading high-performing teams in enterprise environments. Deep expertise in modern cloud data platforms (Snowflake, Azure, and/or AWS Redshift) and ETL/ELT tools such as DBT, Informatica, Talend, or equivalent. Strong hands-on experience designing and delivering scalable, secure, and resilient data pipelines and APIs in cloud environments (AWS preferred). Proficiency in SQL and Python for data manipulation, pipeline development, and automation. Solid understanding of data warehousing concepts (e.g., CDC, SCD types, dimensional modeling), data lake architectures, and real-time streaming. Proven ability to balance tactical execution with long-term strategic planning and stakeholder alignment. Experience working in Agile/Scrum environments using tools like Jira, Git, and Confluence. Demonstrated success collaborating across global teams and partnering with business, IT, and analytics leaders. Strong communication, documentation, and stakeholder management skills. Excellent communication skills and experience working cross-functionally with business and IT teams. Strong domain knowledge in CRM and Marketing Tech applications (Salesforce, Marketo, Gong, Gainsight). Bachelor's degree in Computer Science, Data Science, or equivalent. Extra dose of awesome if you have... Knowledge of Tableau, Looker, or similar BI tools is a plus. Experience with predictive analytics in go-to-market functions (e.g., campaign attribution, customer lifetime value modeling, lead prioritization, churn). Experience with Oracle ERP, CPQ, & quote to cash processes in a SaaS / recurring revenue company. Ability to work seamlessly as part of a multi-site, multicultural, development and testing team, onshore and offshore, internal and external resources. #LI-Onsite

hackajob is collaborating with J P Morgan to connect them with exceptional tech professionals for this role, Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the worlds most innovative financial organizations, As a Senior Product Associate in the Consumer and Community Banks Digital Communications team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success, Job responsibilities Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery Considers and plans for upstream and downstream implications of new product features on the overall product experience Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle Writes the requirements, epics, and user stories to support product development Required Qualifications, Capabilities, And Skills 7+ years of experience or equivalent expertise in product management or a relevant domain area Proficient knowledge of the product development life cycle Experience in product life cycle activities including discovery and requirements definition Comfort with industry standard technology platforms, learning the details of how they operate, and engaging in technical discussions with both tech and business partners Ability to collaborate effectively with a team of developers: communicating product requirements, adjusting requirements based on technical feedback, and helping to resolve blockers Developing knowledge of data analytics and data literacy Ability to apply ?platform thinking? to solve business problems efficiently and maintainably for internal customers Preferred Qualifications, Capabilities, And Skills Experience with business controls, regulatory compliance, or other risk management processes About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J P Morgan and Chase brands Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management, We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success We are an equal opportunity employer and place a high value on diversity and inclusion at our company We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law We also make reasonable accommodations for applicantsand employeesreligious practices and beliefs, as well as mental health or physical disability needs Visit our FAQs for more information about requesting an accommodation, About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing Were proud to lead the U S in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction, The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money Teams enable innovation while adhering to the firms data sharing principles of security, customer control and convenience, and privacy, Show

As an AI Business Analyst at First Advantage (FA), you will be responsible for supporting and scaling our AI initiatives across the organization by measuring and improving the effectiveness of AI solutions that impact customer and agent experiences You will translate data-driven insights into actionable recommendations and ROI, serving as a vital link between data, technology, and operations to demonstrate how AI delivers value This role is ideal for an analytical and curious individual eager to work at the intersection of AI and business operations, contributing to our mission of redefining customer and candidate support through innovative and efficient solutions, Roles and responsibilities: Analyze Data and Build Reports: Analyze data and create reports that evaluate the performance and ROI of AI solutions, including generative AI, automation, and augmentation, Develop and Maintain Dashboards: Design and maintain dashboards to monitor the impact of AI on customer satisfaction, agent efficiency, and key operational metrics, Collaborate Cross-Functionally: Work collaboratively with technical teams, operations, product managers, and business stakeholders to ensure alignment and effective implementation of AI initiatives, Assist in Prompt Design and Optimization: Support the design and optimization of prompts for generative AI tools utilized by agents or customers, enhancing their effectiveness and usability, Present Insights to Leadership: Present insights and results to leadership teams in a clear, compelling, and story-driven format, facilitating informed decision-making, Contribute to Continuous Improvement: Actively contribute to the continuous improvement of AI use cases by identifying gaps, testing new ideas, and tracking outcomes to enhance performance, Support Integration of Knowledge Bases: Assist in the integration of knowledge bases and content that feed into AI models, such as Salesforce Knowledge and Experience Cloud, to improve AI functionality, Assess and Prioritize New AI Opportunities: Help evaluate and prioritize new AI opportunities by assessing feasibility, potential impact, and alignment with business goals, Skills required : Analytical Skills: Strong analytical skills with proficiency in using tools such as Excel, Power BI, Tableau, or similar business intelligence platforms to derive insights and support decision-making, Familiarity with AI Tools: Understanding of generative AI tools and foundational knowledge of prompt engineering principles, Platform Exposure: Exposure to Salesforce Service Cloud, Experience Cloud, AWS, or similar platforms is a plus, enhancing the ability to integrate and leverage technology effectively, Knowledge Base Management: Experience working with or managing knowledge base content is a bonus, contributing to the optimization of information resources, Communication Skills: Excellent communication skills, with the ability to present findings and insights to both technical and non-technical audiences in a clear and engaging manner, Self-Starter: A self-starter with a continuous improvement mindset, demonstrating the ability to take initiative and drive projects forward in a cross-functional environment, Adaptability: Ability to thrive in a fast-paced, dynamic environment, adjusting to changing priorities while maintaining high-quality standards, Qualifications : Education: Bachelors degree in Business Administration, Data Science, Information Technology, or a related field A Masters degree is a plus, Experience: 3-5 years of relevant experience in business analysis, data analytics, or operations, preferably in a technology-driven or customer-centric organization, Certifications: Relevant certifications in data analytics, business analysis, AI/prompt engineering, or project management are advantageous, Work model : Remote Work Location : Mumbai / Bangalore Joining time needed : 15 days Show

Req ID: 334007 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now, We are currently seeking a Data Engineer (Talend &Pyspark) to join our team in Bangalore, Karn?taka (IN-KA), India (IN), "Job Duties: Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack, Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure, Demonstrate proficiency in coding skills, utilizing languages such as PySpark, Talend to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations, Collaborate seamlessly across diverse technical stacks, including AWS, Develop and deliver detailed presentations to effectively communicate complex technical concepts, Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc Adhere to Agile practices throughout the solution development process, Design, build, and deploy databases and data stores to support organizational requirements, Minimum Skills Required: Basic Qualifications: 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects, 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions, Ability to travel at least 25%, Preferred Skills: Demonstrate production experience in core data platforms such as AWS, Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in S3 or other NoSQL storage systems, Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Showcase professional written and verbal communication skills to effectively convey complex technical concepts, Undergraduate or Graduate degree preferred" About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity We are one of the leading providers of digital and AI infrastructure in the world NTT DATA is a part of NTT Group, which invests over $3 6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future Visit us at us nttdata NTT DATA endeavors to make https://us nttdata accessible to any and all users If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us nttdata /en/contact-us This contact information is for accommodation requests only and cannot be used to inquire about the status of applications NTT DATA is an equal opportunity employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status For our EEO Policy Statement, please click here If you'd like more information on your EEO rights under the law, please click here For Pay Transparency information, please click here , Show

What Youll Need BS or MS degree in Computer Science, Engineering, or a related technical field Strong SQL skills 6+ years of experience working with event instrumentation, data pipelines, and data warehouses, preferably acting as a data architect in a previous role Proficiency with systems design and data modeling Fluency with workflow management tools, like Airflow or dbt Experience with modern data warehouses, like Snowflake or BigQuery Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements Familiarity with data visualization tools such as Mode, Tableau, and Looker Familiarity with programming skills, preferably in Python Familiarity with software design principles, including test-driven development About the Role Analytics Platform is on a mission to democratize learning by building systems that enable company-wide analytics and experimentation. By implementing sufficient instrumentation, designing intuitive data models, and building batch/streaming pipelines, we will allow for deep and scalable investigation and optimization of the business. By developing self-serve tools, we will empower executives, PMs, Marketing leadership & marketing managers to understand company performance at a glance and uncover insights to support decision making. Finally, by building capabilities such as forecasting, alerting, and experimentation, we will enable more, better, and faster decisions. What Youll Do Drive direct business impact with executive-level visibility Design technical architecture and implement components from the ground up as we transition to event-based analytics Work on the unique challenge of joining a variety of online and offline data sets, not just big data Learn and grow Data Science and Data Analytics skills (we sit in the same org!) Opportunity to grow into a Tech Lead/Manager, and mentor junior team members as we quickly grow the team Partner with infrastructure and product engineers to instrument our backend services and end-to-end user journeys to create visibility for the rest of the business Design, develop and monitor scalable and cost-efficient data pipelines and build out new integrations with third-party tools Work with data analysts and data scientists to design our data models as inputs to metrics and machine learning models Establish the best practices for data engineering Assess build vs buy tradeoffs for components in our company-wide analytics platform, which will inform decision-making for executives, PMs and Ops, etc. Opportunity to be founding member of the Data Engineer team based out of IN. Will have the autonomy to help shape the vision, influence roadmap and establish best practices for the team

Job Description: Data Analyst Seeking a highly skilled Data Analyst who will be responsible for transforming data into actionable insights that drive business growth and operational improvements. The ideal candidate will work with diverse data sources to identify trends, generate reports, and develop practical use cases based on their findings. Key Responsibilities: • Business Understanding: Collaborate with stakeholders to gather and comprehend business requirements. • Data Management: Collect, clean, and preprocess data from multiple sources, ensuring accuracy and completeness. • Exploratory Data Analysis (EDA): Conduct EDA to uncover trends, patterns, and anomalies within datasets. • Statistical Analysis: Apply statistical techniques to analyze data and derive meaningful insights. • Use Case Development: Develop actionable use cases based on insights and validate them with stakeholders. • Data Visualization: Create compelling data visualizations, reports, and dashboards to effectively communicate insights to stakeholders. • Collaboration: Work closely with business stakeholders to develop data-driven solutions that meet organizational needs. • Implementation Support: Assist in the implementation of developed use cases. Qualifications: • Bachelors degree in Computer Science, Statistics, Mathematics, or a related field • 5+ years of experience in data analysis or a related field • Strong proficiency in programming languages such as Python and R • Experience with data visualization tools such as Power BI • Excellent analytical, problem-solving, and communication skills Nice to Have: • Certification in data analysis or a related field • Experience with machine learning models and algorithms • Knowledge of cloud-based data platforms such as AWS or Google Cloud • Familiarity with agile project management methodologie

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

As bp transitions to an integrated energy company, we must adapt to a changing world and maintain driven performance. Bp's customers & products (C&P) business area is setting up a business and technology centre (BTC) in Pune, India. This will support the delivery of an enhanced customer experience and drive innovation by building global capabilities at scale, maximising technology, and developing deep expertise . The BTC will be a core and connected part of our business, bringing together colleagues who report into their respective part of C&P, working together with other functions across bp. This is an exciting time to join bp and the customers & products BTC! Shift Timing : 12.30 PM - 9.30 PM IST About the role: As the Data Specialist - Pricing, you will work alongside business leads for specific process areas, partnering with I&E, GBS, PUs, HUBs, Functions, and Markets to handle change, adoption, and sustainability of pricing frameworks aligned with the Business Strategy. This role will drive strategic pricing data lineage in the Data Lake, ensuring that the end state in the given process area is sustainable and operationally aligned with business leadership expectations and the Business Strategy. You are able to apply your expertise in the depth of the process hand-offs, the process links to the ERP transaction and related master data. The role drives strategic transformation, ensuring sustainable and operational alignment with leadership expectations. It requires fluency in agile methodology, acting and flexing as an SME, product owner, or scrum master based on project needs! Key Responsibilities: • Lead pricing data lineage from ERP & pricing source systems, normalisation and harmonization into star schema format for Data Lake embedding. • Approve required changes to pricing data, data structures, pricing metadata and master data. • Ensure pricing related processes and data are fit for purpose • Guide authorities through pricing data validation and query resolution • Support Global ERP systems processes and pricing data management during deployment to ensure alignment with project objectives and timelines • Support pricing data cutover and power outage phases • Support integration sessions with process architects to handle pricing data changes • Applying end-to-end strategic views to operational changes for process optimization, transactional fluidity, master data management and improved business performance. • Creating and supporting the execution of the Business Change Backlog to deliver incremental business change. • Advising & supporting planning and deployment activities to embed and sustain change. • Advising and supporting Data Governance related to Master Data Quality Management and Data performance related to transactional fluidity. • Acting as the process TAG for ERP design and setup, support Data Modelling for relevant data sources related to the Sales & Marketing Value Centres in the Castrol Data & Analytics landscape. • Recommending improvements and capability development to the Global Data & Analytics Lead and customers. • Collaborate with peer groups, using expertise across the subject area and drive integration • Working across timezones and lead multi disciplinary teams at a project or initiative bases. • Have a solutioning approach to think and build global with the ability to scale to local with tactical short term and strategic midterm delivery/alignment. Experience Required: • Experience in Pricing Operations with a minimum of 10 year operations in multiple aspects if the Sales Value Chain process execution. • Shown experience and deep domain knowledge of working with all affiliated pricing and marketing data objects • Shown deep experience of efficiently delivering business transformation as part of major ERP implementations and/or major business transformation projects. • Deep understanding in specified data & process area: Product portfolio management, Pricing waterfall, Net Hard Floor, rebates, Pricing conditions, dynamic pricing algorithms, Market & Pricing Intelligence, Pricing forecasting, pricing elasticity and the integration points with other data and process areas to ensure successful delivery of end to end. • Tenacious in getting issues resolved and collaborative solution - oriented thinking while balancing business strategy and process frameworks. Knowledge & Skills Required: • Good understanding of pricing data objects and their role in end-to-end processes • Familiarity with source & target systems and the role of pricing data within them ea: SAP, JDE • Trained in Agile methodology • Work across multiple levels of detail: data (master data & transactional), process design principles, operating model intent and systems design • Strong influencing skills and change leader to bring expertise and experience to shape value delivery • Consistent record of successful deployment in own area, across input and output success criteria measures You will work with : You will be part of a 20 headed Global team called Global Data & Analytics Team. You will operate peer to peer in a team of global best-in-class authorities on Process, Data, Advanced Analytics skill and Data Science. The Global Data & Analytics team reports into the Castrol Digital Enablement team that is running the digital estate for Castrol where we enhance scalability, process and data integration. This D&A team is the driving force behind the Data & Analytics strategy being responsible for the Harmonized Data Lake and the Business Intelligence derived from it, in support of the Business strategy and is a key pilar of value enablement through fast and accurate insights. You will engage will be exposed to a wide variety of customers in all layers of the Castrol Leadership and our partners in GBS and Technology. Through Data Governance at Value centre you have excellent exposure to the operations and have the ability to influence and lead change through value preposition engagements. Within the team we foster an open & inclusive culture where the collective powers the high quality outcome and speed of delivery. It is a team that stands on each other's shoulders to always be part of the solution and deliver towards optimal outcome.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

Interview Venue :Wisdom Bridge Management consultants singasandra, Hosur main Road Bangalore Interview date: 29th July 2025-29th August 2025 Landmark , Singasandra Govt school and Post office Timings-10AM to 1PM Contact Aswini-8147492898,080-49546910 Required Candidate profile Walk-in any Fresher's 2018-2025 Passed out for Big MNCs for MIS Reporting ,Data Reporting, MIS Operations, MIS Analyst and Advanced Excel Skills. Perks and benefits 5 days of Working Salary best in the Industry

4 Years+ experience in Data Analytics (Azure Databricks - Must Have) Graduate Budget - Upto 10 LPA (Fixed) 5 Days / US Shifts / Cabs (Immediate Joiners or Max Notice Period - 30 Days) Please Call - 9999869475 Required Candidate profile Candidate should be excellent with VBA, SQL, Azure Databricks Excellent communication skills required

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools