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7 - 9 years

9 - 12 Lacs

Bengaluru

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About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

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7 - 9 years

19 - 25 Lacs

Bengaluru

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About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

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3 - 7 years

19 - 25 Lacs

Gurgaon

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About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

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9 - 12 years

35 - 40 Lacs

Mumbai

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About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleControls Gatekeeper Lead Corporate TitleAVP LocationMumbai, India Role Description The Non-Financial Risk Management (NFRM) function works across the Bank to ensure that the banks Non-Financial Risk exposure is adequately managed in-line with the group wide risk appetite and NFRM framework. To achieve this the NFRM function requires: Risk Managers with the experience, seniority, and tools to assess complex risks and intervene where they lie outside the banks risk appetite. A comprehensive, integrated, simple, and easy to use NFR Framework with supporting technology that assists risk identification, assessment, and remediation. Strong understanding of the businesses combined with regular engagement which would allow NFRM to provide support, review, and challenge in line with the 3 Lines of Defense Model. Close coordination with all Second Line Risk Type Controllers to facilitate the production of a holistic view of NFR. Thorough consideration of emerging risks, rather than just current issues. Effective governance combined with supporting MI that facilitates decision-making. NFRM is a matrix organisation with business / region and functional specialist axes. The Non-Financial Risk Management Framework Team is responsible for the design, development, and implementation of NFRM framework policies, processes and systems across Deutsche Bank and interacts with multiple stakeholders across the firm (1LOD, 2LOD and 3LOD). What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities This role is a lead role for the NFR Controls gatekeeper team, and it involves significant complexities and challenges on an ongoing basis. Expectation is to lead the end-to-end processing of controls lifecycle and ensure that controls inventory is complete and accurate. Some of the key responsibilities are listed below: Collaborate with key stakeholders across the 3 lines of defense (across all business divisions and infrastructure functions) ensuring collective input is considered throughout the implementation and embedding of control framework. Develop and implement control inventory insight capabilities. Oversee management and maintenance of DB control inventory. Operate independently across a large matrix structure and actively drive closure of key deliverables. Oversight of controls documentation, certification, assessment, and assurance. Drive monthly forums for changes and updates to global control inventory. Your skills and experience A robust understanding of Non-Financial Risk Management principles and practices with minimum 8 10 years experience in Operational Risk Management Strong Controls framework background with 2nd LOD and Audit experience in key controls identification, Assurance and Challenge would be preferred. Demonstrable experience of developing strong working relationships with business areas to facilitate successful risk management within the 3 LoD model. Advanced user of MS Excel / Access database with experience of data aggregation and manipulation to produce meaningful MI. Experience with external risk related data sources, such as ORX, Reuters & Bloomberg would be preferred. Demonstrable experience of working with Senior Stakeholders within a high-pressure dynamic environment Ability to demonstrate effective challenge to divisions with regards to controls execution; identifying material themes and being able to influence business areas to focus on those areas. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

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1 - 6 years

3 - 7 Lacs

Pune

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? Overall 4years’ experience in design, develop and supporting web applications using Oracle APEX. 2-3 implementation using Oracle Apex on Cloud (PaaS) Release 20.2 onward Ability to design & develop application using a combination of APEX, DBCS and SaaS – Cloud ERP. Proficiency and expertise in Oracle SQL / Oracle PL/SQL, REST Data Sources in Apex. Experience in managing web page layouts with APEX templates and themes. Experience and knowledge in HTML5 / CSS/ User access & Authantication setup. Experience collaborating effectively with customer team and project team. Problem SolvingAbility to analyze and resolve complex development and deployment issues. Trouble shooting Apex application problems and experience in resolving support issues

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7 - 9 years

12 - 16 Lacs

Bengaluru

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About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

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3 - 7 years

19 - 25 Lacs

Bengaluru

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About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary – Bengaluru, Secondary – Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs – POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Accenture Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

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2 - 7 years

4 - 9 Lacs

Maharashtra

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Description 1.1.Create Repoint and update Tableau dashboards and analytics. (AWS) 2.Understanding of how data can be linked together and how it can be transformed into an easily understandable structure. Demonstrated ability to research and strong analytical mindset to process large amount of structured and unstructured data. Create Tableau Calculations (Table Calculations Hide Columns Creating/Using Parameter Totals) and Formatting (Annotations Layout Containers Mark Labels Rich Text Formatting Shared Encoding) using Tableau Desktop. Integrate the tableau reports with GUIs by invoking Tableau reports using parameterized Api calls. Excellent communication skills both written and oral. 3. AWS Knowledge is must. 4.ReCreate/Repoint reports using a variety of graphical and data modelling techniques.(AWS) 5.Create new KPIs and monitor them consistently in datasets. 6.Gathering and normalizing data from multiple data sources 7.Create test and publish dashboards and reports as well as schedule refreshes. 8.Advanced Level of experience in design & creation of Tableau applications and/or administration of Tableau Platforms. 9.Working knowledge in SQL MS SQL AWS and other Databases. 10.Knowledge on Accelerators Python or other programming languages is a must. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 6211 Tableau Languages RequiredEnglish Role Rarity To Be Defined

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6 - 8 years

8 - 10 Lacs

Pune

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Your Role Understands business needs and in depth understanding of processes. Demonstrated expertise in working with diverse data sources across multiple channels to produce insights. Engage with market leaders to understand problems to be solved and translate the business problems to analytical problems. Taking ownership of specified analysis and translate the answers back to decision makers in business. Conduct end-to-end analysis that includes data discovery, analysis, requirements gathering, and clarification with stakeholders at all levels. Manipulating, analyzing, and synthesizing large complex data sets using different sources and ensuring data quality and integrity. Design, develop, and automate Business Intelligence (BI) and analytics solutions, iteratively build, and prototype dashboards to provide insights at scale leveraging engineering tools and BI industry standard technologies including ETL, data modelling, and data visualization software. Think beyond the ask and develop analysis and reports that will contribute beyond basic asks. Report creation or dashboard refresh - Collaborate with colleagues to craft, implement and measure consumption of analysis, reports, and dashboards. Make business recommendations (e.g., cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Your Profile Experience in data, metrics, analysis, and trends. Strong understanding of Business Decisions. Skills to develop visualizations, self-service dashboards and reports using visualization tools & Basic Statistical Concepts (Correlation Analysis and Hyp. Testing). Good Skills to analyze data using Advanced Excel, Advanced SQL, Hive, Python, Data Warehousing concepts (Hadoop, Teradata), Automation using Alteryx, Databricks. Awareness of POS, Panel, Survey data and industry analyses, knowledge on retail and FMCG/CPG industry. Exposure to CPG/Consumer data, relevant years experience in similar domain Equal Opportunities at frog Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

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8 - 13 years

6 - 10 Lacs

Pune, Greater Noida, Gurgaon

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Required a Power Apps and Power Automate developer with 8-12 years of experience, responsible for designing, building and maintaining custom business applications and workflows within the Microsoft Power Platform ecosystem. Key skills and responsibilities: Expertise in building canvas and model-driven apps to meet business requirements. Proficiency in integrating Power Apps with data sources like Dataverse, SharePoint, SQL Server, and external APIs. Strong UI/UX design capabilities to deliver user-friendly interfaces. Proficient in designing and implementing automated workflows to optimize business processes. Knowledge of configuring triggers, actions and conditions for cloud and desktop flows. Ability to integrate Power Automate with various Microsoft and third-party applications including Teams, Outlook and Dynamics 365. Familiarity with other Microsoft tools like SharePoint, Teams, Dynamics 365 and Excel. Review and analyse business requirements with stake holders to ensure full understanding of individual deliverables. Support UAT with business users, capturing and reporting defects to the project to enable review, required remediation and re-test. Strong spoken and written communication skills ? interaction with business customer is a key responsibility.

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4 - 6 years

15 - 20 Lacs

Pune, Gurgaon

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Senior Principal Engineer - Digital visualization & Data Analytics We are seeking a talented individual to join our Analytics team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office We will count on you to have the following skills and experience: Strong skills in concept building and creating Art of Possible for Analytics using data, latest market trends and technology to drive business outcomes. Strong Data Management skills by gathering data from multiple source systems, clean, consolidate and transform into key insights. Exploratory Data Analysis, Reporting key metrics and analyze disparate data sets together for patterns and insights. Performing Quality Assurance (QA) on datasets such as data accuracy, data logics and data comparison with dashboards. Automating the process of capturing data from different sources, cleaning and creation of insights. Understanding of insurance claims, policies, terminologies, health risks and wellbeing are advantage Having experience of around 4-6 years in the BI field- particularly in Qliksense Having Database management skills using SQL for 3-5 years. Qliksense Developer profile Experience in Dashboard Development Joins, Mash ups, Data Prep in Qlik Data Editor Should have worked on Extensions Knowledge around JavaScript and Extension development is required Good in articulating data driven solutions to visually apt charts Having knowledge around R/Python/Power BI/Tableau will be preferred What you need to have: BE/B Tech in Computer Science or Bachelor/ Masters Degree in Maths or Statistics Up to 4 to 6 years of progressive experience in Data Engineering team. Hands-on exp. In excel (advance excel knowledge building macros, VBA- expert, R/Python- Intermediate) and good understanding of BI tools Qlik Sense or power BI/ Tableau. Proficiency in extracting data from multiple data sources Web, PDF, Excel or any database with broad working knowledge of methodologies used for analytics is required. What makes you stand out? Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred ) Experience in Healthcare sector, working with Multination clients . Why join our team: Your contributions will impact strategic decision-making and business performance. We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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12 - 20 years

35 - 60 Lacs

Bengaluru

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Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Kyndryl’s Security & Resiliency is one of our most critical practices, ensuring enterprises, regardless of their size and complexity, remain secure, available, reliable, and resilient. We take Cybersecurity seriously. We're not just invested; we're committed. We're not just protecting data; we're empowering. Kyndryl is committed to making the world safer, not only by investing in state-of-the-art services and technologies but also by empowering underserved communities with essential cyber skills. When you walk through our doors, you're not only joining a team but you're also becoming part of a legacy. Welcome to Kyndryl, where Cybersecurity isn't just a job – it’s a passion; a commitment to designing, running, and managing the most modern and reliable technology infrastructure that the world depends on every day. As a Cybersecurity Defense professional at Kyndryl, you will encompass cybersecurity, incident response, security operations, vulnerability management, and the world of cyber threat hunting and security intelligence analysis all to protect the very heartbeat of organizations – their infrastructure. In this role, you won't just monitor; you'll actively engage in the relentless hunt for cyber adversaries. In a world where every click and keystroke could be a potential gateway for attackers, your role will be nothing short of critical as you seek out advanced threats, attackers, and Indicators of Compromise (IOCs). Your expertise in endpoint detection and response (EDR) will be the shield that safeguards individual workstations, laptops, servers, and other devices from cybercrime. Your responsibilities go beyond vigilance. When it comes to network security, you'll utilize Network Detection and Response (NDR) to monitor the ever-flowing currents of network traffic. The incident management process will be used as you respond and manage to cybersecurity incidents. Cybersecurity Defense is all about information. You'll gather, analyze, and interpret data applying your own and external threat intelligence to uncover potential security threats and risks. These insights and your ability to analyze complex attack scenarios will be the foundation of our security strategy – helping Kyndryl stay one step ahead of security breaches. In Cybersecurity Defense at Kyndryl, you’re not just protecting the present – you’re shaping the future of digital security. Join us on this cybersecurity venture where your expertise and creativity will have a lasting impact in the world of digital defense. Your Future at Kyndryl When you join Kyndryl, you're not just joining a company – you're entering a space of opportunities. Our partnerships with industry alliances and vendors mean you'll have access to skilling and certification programs needed to excel in Security & Resiliency, while simultaneously supporting your personal growth. Whether you envision your career path as a technical leader within cybersecurity or transition into other technical, consulting, or go-to-market roles – we’re invested in your journey. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise: Minimum of 10-12 years' experience as a Splunk Security Engineer Expertise in designing and implementing Splunk Enterprise Security (ES) solutions Experience in configuring and optimizing Splunk search queries, dashboards, and reports In-depth knowledge of security technologies, including SIEM, IDS/IPS, DLP, and endpoint security Strong understanding of network protocols, TCP/IP, and security-related protocols Excellent analytical and problem-solving skills Ability to work independently and in a team environment Strong communication and interpersonal skills Preferred Technical and Professional Expertise Using Splunk, design and implement solutions to address and meet logging requirements in the client environment with remote logging capabilities. Configuring Splunk: Set up Splunk forwarding, configure the deployment server, and manage the Splunk indexer cluster Monitoring and troubleshooting: Monitor the Splunk infrastructure, troubleshoot performance issues, and identify bad searches and dashboards Managing security: Provide role-based security, restrict access to sensitive data, and manage Splunk license master Managing users: Manage users and their roles, and onboard new users Managing data: Manage indexes, create Splunk indexes, and design retention and retirement policies Deploying Splunk: Deploy Splunk dashboards and reports, and execute new projects Strong critical thinking and analytical skills and ability to think “out of the box” required. Must be able to work independently or with a team, under minimum supervision. Preferred Technical and Professional Experience Thorough knowledge on defining data sources monitoring based on clients’ business Thorough knowledge on MITRE Frameworks (ATT&CK, D3FEND) Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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1 - 6 years

3 - 8 Lacs

Hyderabad

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Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We are looking for a talented, motivated leader with experience in building Scalable Cloud Services, Infrastructure, and processes. As part of the IoT (Internet of Things) team you will be working on the next generation of IoT products. As a Business Intelligence Engineer (BIE) In This Role The ideal candidate will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will have deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions.Key job responsibilities You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership Produce recommendations and insights that will help shape effective metric development and reporting for key stakeholders Simplify and automate reporting, audits and other data-driven activities Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights To develop and drive best practices in reporting and analysis:data integrity, test design, analysis, validation, and documentation Learn new technology and techniques to meaningfully support product and process innovation BASIC QUALIFICATIONS At least 1+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.). Experience with data visualization using Tableau, Power BI, Quicksight, or similar tools. Bachelors degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field. Ability to operate successfully and independently in a fast-paced environment. Comfort with ambiguity and eagerness to learn new skills. Knowledge of Cloud Services AWS, GCP and/or Azure is a must PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, Athena, Glue, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience Experience articulating business questions and using quantitative techniques to drive insights for business. Experience in dealing with technical and non-technical senior level managers. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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4 - 8 years

22 - 27 Lacs

Chennai, Pune, Mumbai (All Areas)

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Responsibility: Co-ordinate with Business and different teams during different phases of the project Implement Compensations rules into SAP Commission using different components Developing a profound knowledge of the structure and application of commission plans and compensation strategy Develop understanding of data sources, data flows, payload models, transformation logic Providing support once project go live and performing enhancement of the product Technical requirements Technical experience in Application Development , with a focus on Compensation Systems Good understanding of SAP portfolio and SAP Commissions components Good understanding of Reporting, Dispute process, Data Integration with SAP Commissions Product Suite Experience in integrating Commissions with existing Enterprise solutions, on-premises and Cloud Knowledge of compensation plans and bonuses Experience working in an Agile environment Must have great communication skills both written and verbal Confident and outgoing in approach, good team player / Team Lead Should be comfortable working with Business team and setting right expectations with Business team

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2 - 4 years

4 - 6 Lacs

Hyderabad

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As a Business Analyst in Payment Risk Analytics, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will work with team members to ensure that the volume being flagged for manual review aligns with available capacity and Service Level Agreements (SLAs) are met. You will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. Responsibilities : • Understand the various operations across Payment Risk • Design and develop highly available dashboards and metrics using SQL and Excel/Tableau • Understand the requirements of stakeholders and map them with the data sources/data warehouse • Own the delivery and backup of periodic metrics, dashboards to the leadership team • Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies • Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers • Perform business analysis and data queries using appropriate tools • Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area • Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) Key job responsibilities • Understand the various operations across Payment Risk Design and develop highly available dashboards and metrics using SQL and Excel/Tableau Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) BASIC QUALIFICATIONS - 1+ years of tax, finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages PREFERRED QUALIFICATIONS - Experience using very large datasets

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4 - 9 years

10 - 18 Lacs

Chennai, Pune, Mumbai

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Job Position: SAP Commission Developer Experience: 4+ years Location: Chennai, Pune, Mumbai Notice Period: Immediate joiner Responsibility: Co-ordinate with Business and different teams during different phases of the project Implement Compensations rules into SAP Commission using different components Developing a profound knowledge of the structure and application of commission plans and compensation strategy Develop understanding of data sources, data flows, payload models, transformation logic Providing support once project go live and performing enhancement of the product Technical requirements Technical experience in Application Development, with a focus on Compensation Systems Good understanding of SAP portfolio and SAP Commissions components Good understanding of Reporting, Dispute process, Data Integration with SAP Commissions Product Suite Experience in integrating Commissions with existing Enterprise solutions, on-premises and Cloud Knowledge of compensation plans and bonuses Experience working in an Agile environment Must have great communication skills both written and verbal Confident and outgoing in approach, good team player / Team Lead Should be comfortable working with Business team and setting right expectations with Business team

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3 - 5 years

11 - 21 Lacs

Delhi NCR, Hyderabad, Kolkata

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CRM Management Data Analysis & Reporting Stakeholder Collaboration Process Improvement Training & Support Software Integration & Management Data Governance & Compliance Innovation Support LMS (CRM) strategy delivery Required Candidate profile Minimum of 3-5 years of experience in CRM Salesforce, HubSpot, or Microsoft Dynamics Excellent communication (English) Strong analytical and problem-solving skills Knowledge of data protection

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3 - 5 years

5 - 7 Lacs

Hyderabad

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Overview This role is to have a detail-oriented and tech-savvy Data Manager who will be responsible for managing and optimizing our leads management system (LMS) CRM system, along with other key software and data systems that support our innovation initiatives. The ideal candidate will have a strong background in stakeholder collaboration with respect to database management, data analysis, and multiple enterprise software platforms, with a keen interest in fostering external partnerships and driving innovation.The roles and responsibilities include: Oversee the daily operations of the LMS (CRM) system. Actively contribute in customizing and configuring the LMS platform, implement LMS workflows, dashboards, and reports to streamline processes and improve data visibility. Analyze LMS and other data to provide insights, regular reports on key performance indicators (KPIs) and recommendations that support strategic decision-making. Collaborate with cross-functional teams, including R&D Stakeholders, IT and with external partners and vendors to ensure seamless data exchange, integration and communication. Identify opportunities to enhance the functionality and user experience of LMS and other software systems. Provide training and support in issue troubleshooting to team members and stakeholders on LMS and other softwares (including project management tools, data analytics software, and communication platforms) Ensure data compliance with data protection regulations and company policies and documentation of the process Responsibilities Functional Responsibilities: CRM Management: Oversee the daily operations of the LMS system, ensuring data accuracy, integrity, and security. Customize and configure the LMS platform to meet the specific needs of the External Innovation Team. Contribute with all the functional and technical aspects to develop and implement LMS workflows, dashboards, and reports to streamline processes and improve data visibility. Assessing overall CRM user experience including bulk upload, adding files, tracking source, assigning owners/business unit, set status, track communication notes, providing smart search options with key words, import export ability from different sources into CRM DB. Data Analysis & Reporting: Analyze LMS and other data to provide insights and recommendations that support strategic decision-making. Help with all the insignts/ data understanding/ functional and technical specifications gathered from all the sources to generate and distribute regular reports on key performance indicators (KPIs) and metrics related to external innovation activities. Understand R&D technical needs and correlate the data and insights for timely inputs to internal stakeholders Stakeholder Collaboration: Collaborate with cross-functional teams, including R&D Stakeholders and IT, to integrate LMS data with other business systems. Work closely with external partners and vendors to ensure seamless data exchange and communication. Process Improvement: Identify opportunities to enhance the functionality and user experience of LMS and other software systems. Develop and implement best practices for data entry, maintenance, and management within the LMS and other software systems Training & Support: Provide training and support to team members and stakeholders on LMS and other software processes and best practices. Troubleshoot software-related issues and work with technical support to resolve them promptly. Software Integration & Management: Manage and oversee additional software platforms used by the External Innovation Team, including project management tools, data analytics software, and communication platforms. Ensure that all software systems are integrated seamlessly to support the team's objectives and workflows. Data Governance & Compliance: Ensure compliance with data protection regulations and company policies across all software and data systems. Maintain comprehensive documentation of processes, configurations, and changes for LMS and other software systems. Innovation Support: Assist in identifying and implementing new software solutions that can enhance the teams capabilities and innovation potential. Stay current with industry trends and emerging technologies to recommend new tools and systems. LMS (CRM) strategy delivery: Support Process Improvement , simplification, standardization and digitalization efforts. Develop and implement best practices for data entry, maintenance, and management within the LMS and other software systems. Qualifications Minimum of 3-5 years of experience in CRM database management and other enterprise software platforms, preferably within an innovation or technology-driven environment. Proven experience with CRM platforms such as Salesforce, HubSpot, or Microsoft Dynamics, and familiarity with project management and data analytics tools. Language: Excellent communication (English) Strong analytical and problem-solving skills with a high attention to detail. Proficiency in SQL, data manipulation tools, and other relevant software (e.g., Tableau, Power BI). Working knowledge of various CRM softwares/ tools which uses APIs to direct connect with external sources. Excellent communication and interpersonal skills. Ability to manage multiple projects and deadlines in a fast-paced environment. Knowledge of data protection regulations and best practices Education :: Bachelors degree in Information Systems, Business Administration, Computer Science, or a related field. A masters degree is a plus. STEM background who understands the business processes preferably within an innovation or technology-driven environment. Good to have - Working experience of CRM tool migration from one platform to another, experience of working either at client side in R&D FMCG space, or within the R&D team of leading CPG companies in external innovation space Strong collaborator; Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets or brands; will be willing and able to embrace Responsive Ways of Working Essential: World-class stakeholder management skills Internal and External Solution-oriented approach to problem solving Ability to identify and capitalize on opportunities to gain efficiencies and improve process & deliverables Deep understanding of various CRM system management and connected softwares. Strong understanding of internal & external data sources that could contribute to the reporting and analysis function. Flexible working hours (work day ends at 11:30 am CST) In depth Experience in CRM tools like Salesforce, HubSpot, or Microsoft Dynamics, and familiarity with project management and data analytics tools. Knowledge of external innovation ecosystem and associated industry dynamics

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1 - 6 years

3 - 8 Lacs

Hyderabad

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Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We are looking for a talented, motivated leader with experience in building Scalable Cloud Services, Infrastructure, and processes. As part of the IoT (Internet of Things) team you will be working on the next generation of IoT products. As a Business Intelligence Engineer (BIE) In This Role The ideal candidate will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will have deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions.Key job responsibilities You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership Produce recommendations and insights that will help shape effective metric development and reporting for key stakeholders Simplify and automate reporting, audits and other data-driven activities Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights To develop and drive best practices in reporting and analysis:data integrity, test design, analysis, validation, and documentation Learn new technology and techniques to meaningfully support product and process innovation BASIC QUALIFICATIONS At least 1+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.). Experience with data visualization using Tableau, Power BI, Quicksight, or similar tools. Bachelors degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field. Ability to operate successfully and independently in a fast-paced environment. Comfort with ambiguity and eagerness to learn new skills. Knowledge of Cloud Services AWS, GCP and/or Azure is a must PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, Athena, Glue, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience Experience articulating business questions and using quantitative techniques to drive insights for business. Experience in dealing with technical and non-technical senior level managers. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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