527 Advanced Analytics Jobs - Page 2

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

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: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

Location: India About AECO Internal Data Initiatives: At AECO, were on a mission to become a truly data-driven business, aiming to add over $1.0 Billion ARR by 2027 through maturing our internal data systems and management. This ambitious goal is supported by our 2025 operating plan, which focuses on three critical "catalyst" initiatives: improving data governance, enhancing decision-making through product telemetry, and accelerating cross-sell/upsell opportunities. We are building a strong foundation in 2025 to achieve data maturity by 2027, where AECO will move faster, allocate capital more productively, and compete more effectively. The Opportunity: This role is a crucial part of our Cross-sell/Upsell Workstream , a key initiative designed to unlock $0.5-$1.0 Billion+ in upsell and cross-sell opportunities by 2025. We aim to achieve a robust, global, scalable, omnichannel understanding of our markets, customers, and users across all AECO disciplines. Currently, we are "fishing in only part of the lake" as substantial revenue streams and the majority of AECO customers are not included in our primary sales data. This role will be instrumental in creating a unified view of our customer financial relationships and accelerating our Go-To-Market (GTM) strategies. Job Summary: As an Analytics Engineer specializing in Cross-sell/Upsell, you will be responsible for building, maintaining, and optimizing the data infrastructure necessary to federate diverse sales, customer, and demographic datasets. You will work closely with Business Unit (BU) leads, finance teams, and Core Services to enable a comprehensive understanding of our customers and identify significant upsell and cross-sell opportunities. Your work will directly contribute to personalized customer experiences, predictive analytics (e.g., churn propensity, next-best-product), and improved cross-selling with Field Systems. Key Responsibilities: Data Federation & Integration: Design, develop, and maintain robust and auditable Extract, Load, Transform (ETL) processes to integrate disparate sales data (new, upsell, renewal, direct, indirect digital) from various AECO products (e.g., Tekla, B2W, SketchUp) and channels. Federate sales data from non-DX Salesforce systems with the existing DX data set. Combine federated sales data with customer demographic data for a holistic view of all customers, regardless of their buying channels. Collaborate with Trimbles Data Operations Group to ensure data pipelines are reliable, highly available, and consistent. Work with Core Services to define and implement data federation details and allocate resources effectively. Data Modeling & Quality: Develop and implement data models within the Enterprise Data Warehouse (EDW) to support advanced analytics for cross-sell and upsell initiatives. Validate and apply business logic for account data quality criteria, including fuzzy matching rules, duplication logic, and account hierarchy logic, within the EDW data pipelining. Ensure data consistency and quality across all federated datasets. Collaboration & Communication: Act as a key CoE member for the Cross-sell/Upsell initiative, working collaboratively with BU leads, finance teams, and the AECO Data Governance and Compliance (DGC) group. Communicate technical requirements and progress effectively to both technical and non-technical stakeholders. Contribute to the common definition of customer, user, product, and device across AECO. Strategic Contribution: Support the identification and prioritization of integrated workflows with the most impact on sales and GTM strategies. Contribute to the achievement of AECOs North Star: "Add >$500m-$1Bn+ additional ARR driven by internal data, and data governance maturity." Help answer critical business questions like "Where are our best opportunities for finding new direct customers" and "Which countries represent the best opportunities for AECO" Required Skills & Experience: Proven experience as an Analytics Engineer, Data Engineer, or similar role, with a strong focus on data warehousing, ETL development, and data modeling. Proficiency in SQL and experience with enterprise data warehouses (e.g., Snowflake, or similar). Experience with data pipeline tools (e.g., FME, Domo connectors, Snowflake Data Pipelines) is a plus. Strong understanding of data quality principles and experience implementing data quality checks. Ability to work with diverse datasets and integrate them into a unified view. Excellent communication and collaboration skills, with the ability to work effectively across various teams and business units. Demonstrated problem-solving skills and a proactive approach to identifying and addressing data challenges. Preferred Qualifications: Experience with sales, marketing, and customer demographic data. Familiarity with Salesforce data. Understanding of data governance principles and practices. Experience in a B2B SaaS environment.

About The Role : Job TitleFinancial & Regulatory Reporting, Corporate Bank Corporate TitleAVP LocationMumbai, India Overview of Corporate Bank: Deutsche Banks Corporate Bank (CB) is a market leader in Cash Management, Trade Finance & Lending, Securities Services and Trust & Agency Services. Focusing on the treasurers and finance departments of corporate and commercial clients and financial institutions across the globe, our universal expertise and global network allows us to offer truly integrated and effective solutions. Role Description The team is responsible for various senior management reporting/presentations involving meaningful cost / resource analysis supported with observations/commentaries on a weekly, monthly, and quarterly basis. The role involves providing cost related MIS and advanced analytics of Corporate Bank (CB) businesses, partner with onshore team and business managers/COOs for analytics, cost tracking and control. It also includes supporting the business and enhance total shareholder return by effective cost control measures. Position entails decision support, management reporting, planning & forecasting for businesses within CB, working on cost related analytics, allocations, restatements, deep dives, and support for the CB Business Management community on a day-to-day basis. In summary role comprises of consolidation of CB Cost Financials and supporting related business for key cost deliveries. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Dedicated business unit support for flash and forecast processes and preparation of business review documents. Develop and maintain cost analytics tools and generate cost reports for CB, both routine and ad hoc requests. Coordination of cost restatement process for CB and support business by preparing restatement files, restatement tracker, processing of restatements etc. Identification of cost improvement opportunities by reviewing Infrastructure provider (DBCM) service bills, set up of cost packs, engagement with cost providers and business stakeholder. Prepare monthly review of all allocated cost identifying outliers, trends and errors and help in optimize CB-related Inter-Intra-Business allocations. Facilitate cost center management by helping in reviewing, cancelling, and setting up (new) cost centers Identify, highlight, and consolidate one-off effects / outliers during CB's monthly cost close process. Work closely with key stakeholders to create analysis that add value and identify or explore cost saving areas Continuously develop and apply technical knowledge on costs - P&L as applicable Work with other analysts across the team to understand different business drivers Support business manager for cost related queries across regions and sub business units Your skills and experience CA/MBA in Finance with 8+ years of experience Excellent communication skills and initiative to engage with other teams/team members and Senior Management (Onshore/Offshore) Understanding of financials (P&L, Balance sheet & key metrics) needed for management reporting & analytics. Demonstrable problem-solving abilityorganized with an ability to manage multiple issues in tight deadlines Working with multiple data sources and having confidence in figures and presentation Experience of compiling management reports in a global, complex environment upholding accuracy and timelines Proficiency in Microsoft Office applications (Excel, PowerPoint, Word) and ability to learn new internal applications as and when needed. Very strong analytical skill and ability to think laterally. Eye for detail as the candidate will be supporting Corporate Banks senior management / Corporate Banks leadership team Knowledge of VBA/Macros will be an advantage (not mandatory) Experience in project management, who is highly organized and extremely accurate. Knowledge of Tableau, BCS/GGL, SAP BW & SAP R/3 is a plus. Ability to work under pressure and multi-task with strong attention to detail. Fluent in written and spoken English. German language skills are helpful but not mandatory. How well support you . . . .

About The Role : Job TitleAnalytics Analyst, AS LocationBangalore, India Role Description Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques Examining and identifying data patterns and trends to help answer business questions and improve decision making Identifying areas to increase efficiency and automation of data analysis processes Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on: Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Representing the bank as a data science practitioner in industry initiatives At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Programming & Scripting: Strong Python programming skills for data analysis, automating tasks and building custom solutions. Strong SQL knowledge Experience with shell Alteryx and Tableau and added advantage. Data Analysis & Interpretation: Ability to identify trends, patterns, and insights from data. Strong analytical and problem-solving skills. Data Preparation & Transformation: Proficiency in data cleansing, transformation, and integration from various sources. Experience with data wrangling, including handling missing values, outliers, and data type conversion. Data Visualization & Reporting: Ability to communicate insights effectively through data storytelling. Expertise in creating interactive dashboards, visualizations, and reports. Communication & Collaboration: Ability to clearly communicate findings and recommendations to both technical and non-technical audiences. Ability to work effectively in a team environment. Tools Mentioned: Python: For coding, advanced analytics, reporting, visualization and automation. SQL : Advanced for data extraction, manipulation, integration Alteryx: For data preparation, transformation, and integration. Tableau: For data visualization and reporting. Your skills and experience 5-8+ years of proven experience in developing and working on Python A solid understanding of SQL, relational database management system, data modeling Experience working on Alteryx and Tableau an added advantage Strong communication skills. Attention to detail and accuracy. How well support you

Location: India About AECO Internal Data Initiatives: At AECO, were on a mission to become a truly data-driven business, aiming to add over $1.0 Billion ARR by 2027 through maturing our internal data systems and management. This ambitious goal is supported by our 2025 operating plan, which focuses on three critical "catalyst" initiatives: improving data governance, enhancing decision-making through product telemetry, and accelerating cross-sell/upsell opportunities. We are building a strong foundation in 2025 to achieve data maturity by 2027, where AECO will move faster, allocate capital more productively, and compete more effectively. The Opportunity: This role is a crucial part of our Cross-sell/Upsell Workstream , a key initiative designed to unlock $0.5-$1.0 Billion+ in upsell and cross-sell opportunities by 2025. We aim to achieve a robust, global, scalable, omnichannel understanding of our markets, customers, and users across all AECO disciplines. Currently, we are "fishing in only part of the lake" as substantial revenue streams and the majority of AECO customers are not included in our primary sales data. This role will be instrumental in creating a unified view of our customer financial relationships and accelerating our Go-To-Market (GTM) strategies. Job Summary: As an Analytics Engineer specializing in Cross-sell/Upsell, you will be responsible for building, maintaining, and optimizing the data infrastructure necessary to federate diverse sales, customer, and demographic datasets. You will work closely with Business Unit (BU) leads, finance teams, and Core Services to enable a comprehensive understanding of our customers and identify significant upsell and cross-sell opportunities. Your work will directly contribute to personalized customer experiences, predictive analytics (e.g., churn propensity, next-best-product), and improved cross-selling with Field Systems. Key Responsibilities: Data Federation & Integration: Design, develop, and maintain robust and auditable Extract, Load, Transform (ETL) processes to integrate disparate sales data (new, upsell, renewal, direct, indirect digital) from various AECO products (e.g., Tekla, B2W, SketchUp) and channels. Federate sales data from non-DX Salesforce systems with the existing DX data set. Combine federated sales data with customer demographic data for a holistic view of all customers, regardless of their buying channels. Collaborate with Trimbles Data Operations Group to ensure data pipelines are reliable, highly available, and consistent. Work with Core Services to define and implement data federation details and allocate resources effectively. Data Modeling & Quality: Develop and implement data models within the Enterprise Data Warehouse (EDW) to support advanced analytics for cross-sell and upsell initiatives. Validate and apply business logic for account data quality criteria, including fuzzy matching rules, duplication logic, and account hierarchy logic, within the EDW data pipelining. Ensure data consistency and quality across all federated datasets. Collaboration & Communication: Act as a key CoE member for the Cross-sell/Upsell initiative, working collaboratively with BU leads, finance teams, and the AECO Data Governance and Compliance (DGC) group. Communicate technical requirements and progress effectively to both technical and non-technical stakeholders. Contribute to the common definition of customer, user, product, and device across AECO. Strategic Contribution: Support the identification and prioritization of integrated workflows with the most impact on sales and GTM strategies. Contribute to the achievement of AECOs North Star: "Add >$500m-$1Bn+ additional ARR driven by internal data, and data governance maturity." Help answer critical business questions like "Where are our best opportunities for finding new direct customers?" and "Which countries represent the best opportunities for AECO?" Required Skills & Experience: Proven experience as an Analytics Engineer, Data Engineer, or similar role, with a strong focus on data warehousing, ETL development, and data modeling. Proficiency in SQL and experience with enterprise data warehouses (e.g., Snowflake, or similar). Experience with data pipeline tools (e.g., FME, Domo connectors, Snowflake Data Pipelines) is a plus. Strong understanding of data quality principles and experience implementing data quality checks. Ability to work with diverse datasets and integrate them into a unified view. Excellent communication and collaboration skills, with the ability to work effectively across various teams and business units. Demonstrated problem-solving skills and a proactive approach to identifying and addressing data challenges. Preferred Qualifications: Experience with sales, marketing, and customer demographic data. Familiarity with Salesforce data. Understanding of data governance principles and practices. Experience in a B2B SaaS environment.

Location: Kolkata Designation: Assistant Manager Audit & Assurance - Assurance Assistant Manager - Internal audit What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you ll find unrivaled opportunities to succeed and realize your full potential Deloitte is where you ll find unrivaled opportunities to succeed and realize your full potential. The Team Discover the various Internal Audit services, we offer to help organizations look below the surface to achieve superior performance through a full range of outsourcing, co-sourcing, and advisory services including with respect to technology and data analytics . We enhance the overall value delivered by IA functions through strengthening quality, flexibility, efficiency, and value. Additionally, Deloitte helps clients extend their IA oversight to gain greater understanding of key enterprise risks such as evolving IT systems, applications, and other technologies. Work you ll do As Assistant Manager in our Internal Audit team you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll: Key Job Responsibilities As a part of our team you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll: Ability to effectively perform the technical components of risk assessments to provide an accurate view of the client s current risk state Ability to perform end-to-end business process analyses and design Ability to gather, synthesize, and analyze data using appropriate tools and technologies Ability to assess and design internal controls by applying an understanding of internal control design frameworks and regulatory requirements Ability to understand the client s business, interpret sector trends, and learn leading practices Ability to effectively interact with colleagues and clients of varying backgrounds to effectively serve clients Ability to enhance quality and efficiency of recommended conduct risk solutions by applying relevant frameworks, conducting research, and performing analyses Ability to conduct internal audits by leveraging approved processes and methodologies Ability to set the stage for a successful assessment of client s internal audit processes and controls by collecting and organizing data Ability to enhance quality of assurance engagements by identifying risks, performing testing, researching governing regulations, and developing reports Ability to form a core Extended Enterprise Risk Management (EERM) skillset through proactively conducting research, and participating in internal and external initiatives Qualifications CA BBM / BBA / B. Com Must have one of the certifications - CFE, CPA, CIA, CISA Experience in Advanced Analytics and ERP is preferred Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Assistant Manager across our organization: Builds own understanding of our purpose and values; explores opportunities for impact Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent Understands expectations and demonstrates personal accountability for keeping performance on track Actively focuses on developing effective communication and relationship-building skills Understands how their daily work contributes to the priorities of the team and the business How you ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Audit & Assurance - Assurance Assistant Manager - Internal audit Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloittes impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals. Qualifications Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. Masters preferred. 3 to 4 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects Media agency/media systems experience and strong knowledge of media planning/buying process. MS Excel and working with pivot tables, Excel functions and formulae must have skills. Good written and verbal communication skills, Client Interaction and Management are good to have Monitor and analyse OMG network media buying performance using our internal software system. Collect data from markets – checking and cleansing for accuracy. Participate in weekly meetings to clarify data details for specific markets. Work closely with the Omnicom Media Group buying community to deliver client reporting and understanding of buying performance and market context. Communicate with markets to capture specific media detail for our client work. Optimise working patterns to enhance efficiency and misunderstanding. Collaborate with external media auditing companies like Ebiquity and Mediasense. Working with the pitch team to understand how the media investment value model is crafted, articulated, and delivered to current and prospective clients. Deliver your individual objectives in line with the OMG capabilities: Commercial Acumen, Team Player, Client Builder and Craftsmanship. Weekly face to face meetings with your team. Work with systems like Outlook, Excel, PowerPoint

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Plant Maintenance (PM) Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and troubleshooting to guarantee that the applications function seamlessly within the business environment, contributing to the overall efficiency and effectiveness of operations. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in continuous learning to stay updated with the latest technologies and methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM).- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform).- Strong understanding of application development methodologies.- Experience with configuration and customization of SAP modules.- Familiarity with integration techniques for SAP with other systems. Additional Information:- The candidate should have minimum 3 years of experience in SAP Plant Maintenance (PM).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Role Overview We are looking for a Data Scientist to develop and implement advanced analytics solutions. The role involves working with complex datasets and developing machine learning models. Key Responsibilities Develop and implement machine learning models Analyze complex datasets and extract insights Create predictive analytics solutions Collaborate with cross-functional teams Present findings to stakeholders Drive data-driven decision making Requirements Education Masters/PhD in Data Science, Statistics, or related field Experience 5+ years of experience in data science Strong background in machine learning Experience with big data technologies Technical Skills Expertise in Python, R, and SQL Experience with ML frameworks Knowledge of big data tools Understanding of statistical methods Soft Skills Strong analytical and problem-solving skills Excellent communication abilities Research and innovation mindset

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

You are a part of Reckitt, home to the world's most beloved hygiene, health, and nutrition brands. The purpose that defines your existence is to protect, heal, and nurture in the continuous pursuit of a cleaner, healthier world. As a global team, you are united by this purpose and strive to make access to high-quality hygiene, wellness, and nourishment a universal right rather than a privilege. The supply chain is the foundation of Reckitt's business, enabling the safe and efficient distribution of trusted products worldwide. The dedicated and skilled teams at Reckitt play a vital role in ensuring this process runs smoothly. If you are considering a career in the supply chain domain, Reckitt offers a range of exciting opportunities across various supply chain functions, such as planning, procurement, manufacturing, and logistics. You could be part of the Global Supply Planning team, contributing to the development and implementation of the global supply strategy. Alternatively, you might work with the Procurement Centre of Excellence team to oversee supplier relationships and negotiations. As a Project Manager at Reckitt, you will play a crucial role in bringing new product initiatives to fruition. Working within a dynamic team, you will spearhead the creation and launch of innovative products that enhance lives globally. Your involvement in strategic product development will directly impact Reckitt's legacy, offering you a platform to cultivate your leadership skills across diverse cultures and markets. Your responsibilities in this role include leading projects that introduce new product initiatives, managing project schedules, resources, and budgets, developing measurement methods to track project progress, coordinating cross-functional teams across different countries, and overseeing a portfolio of supply projects from conception to delivery. To excel in this role, you should possess proven project management expertise with a focus on planning and relationship management, strong commercial acumen for cost-benefit analysis, experience in leading multicultural teams, mastery in supply chain management encompassing planning, logistics, and productivity management, as well as a collaborative mindset with skills in building partnerships and managing business relationships effectively. Reckitt values inclusion and supports its employees through various Employee Resource Groups to ensure success at every stage of their career journey. Additionally, the company hires based on potential alongside experience, recognizing that great individuals may not always fit every criterion on a job description. If you feel aligned with the role and the company's values, Reckitt encourages you to apply regardless of meeting every requirement.,

Design and automate ETL pipelines, dashboards, and reporting workflows using SQL, Python, Power BI, and AI tools. Define KPIs, ensure data accuracy, collaborate across teams, and mentor analysts on scalable, AI-driven analytics practices.

The Sr. Associate for Data Risk Metrics Ops leads business and operations & Analytics support for FDRM. Description We have an exciting and rewarding opportunity for you to take your career to the next level. As a Data Risk Metrics Senior Associate at JPMorgan Chase within the Chief Data & Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job Responsibilities Lead business and operations analytics support for FDRM. Assist Operations Lead and Product Managers with analytical requests and ad-hoc reporting. Ensure procedures align with Firmwide Data Risk Standard and Policy, eliminating operational gaps. Conduct deep dive analysis into source data for data risk insights. Identify trends and generate ideas for new policies and best practices through advanced analytics. Serve as the main contact for analytics inquiries from stakeholders. Required qualifications, capabilities, and skills Minimum 3 years of experience in data management and operational leadership, focusing on data risk and governance. Proficient in SQL, Alteryx, Tableau, advanced Excel, Python, and other automation tools for solving operational challenges. Strong knowledge of databases and Jira. Ability to quickly understand and manipulate unfamiliar data environments and conduct end-user requirements analysis. Excellent communication skills with teams, practitioners, and leaders, both internally and externally. Preferred qualifications, capabilities, and skills Have visibility to the priorities of the business as well as key challenges. Familiarity with Qlik and advanced analytics methods. Use experiences and best practices to manage, create, and lead ways of working. The Sr. Associate for Data Risk Metrics Ops leads business and operations & Analytics support for FDRM. Description We have an exciting and rewarding opportunity for you to take your career to the next level. As a Data Risk Metrics Senior Associate at JPMorgan Chase within the Chief Data & Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job Responsibilities Lead business and operations analytics support for FDRM. Assist Operations Lead and Product Managers with analytical requests and ad-hoc reporting. Ensure procedures align with Firmwide Data Risk Standard and Policy, eliminating operational gaps. Conduct deep dive analysis into source data for data risk insights. Identify trends and generate ideas for new policies and best practices through advanced analytics. Serve as the main contact for analytics inquiries from stakeholders. Required qualifications, capabilities, and skills Minimum 3 years of experience in data management and operational leadership, focusing on data risk and governance. Proficient in SQL, Alteryx, Tableau, advanced Excel, Python, and other automation tools for solving operational challenges. Strong knowledge of databases and Jira. Ability to quickly understand and manipulate unfamiliar data environments and conduct end-user requirements analysis. Excellent communication skills with teams, practitioners, and leaders, both internally and externally. Preferred qualifications, capabilities, and skills Have visibility to the priorities of the business as well as key challenges. Familiarity with Qlik and advanced analytics methods. Use experiences and best practices to manage, create, and lead ways of working.

Defines, develops, maintains, and delivers strategic data science products that demonstrate the value and effectiveness of the organization. May allocate/coordinate work within a team/project. Develop and communicate insights leveraging the scientific method. Roles may specialize into 3 domain specialties: model science, feature science and Insight science capabilities. Accountable for developing and guiding more junior members. Defines, creates and maintains a meaningful insight. Establishes relationships to obtain data and subject knowledge needed to support advanced analytics. Conducts studies to provide additional facts needed to make informed decisions about organizational and functional effectiveness with data decisioning. Communicates effectively with technical and business staff. Develops reports and prepares and delivers both informational and decision-seeking presentations. Stays abreast of organization and management changes and has advanced knowledge of company practices relevant to data science products. Maintains knowledge of companys total computing environment and planned changes to develop meaningful data science products. Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy. Stays abreast of technology innovations and trends to recommend areas for improvement. Supervises resources by providing instruction, making assignments, directing, and checking the work of applications developers. Provides training in technical tools and skills, as well as specific applications and their business functions to maximize their contribution. Grow and develop skills across the 3 domain specialties: model science, feature science and Insight science capabilities. Stressing expertise in the core functional areas: Computer Programming, Math & Analytics Methodology, Distributed computing, and communications of complex results. Contributes to the achievement of related teams objectives. Modified based upon local regulations/requirements. Bachelors degree in STEM degrees, or equivalent work experience with experience preferred in related fields. 3-5 years and bachelor s degree in STEM programs with years of related experience required; experience in the securities or financial services industry is a plus BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team-one that is representative and inclusive of the diverse talent, clients and communities we work with and serve-and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.