37 Analytics Data Jobs - Page 2

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

About AccentureCombining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting,Technology and Operations Services, and Accenture Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us atwww.accenture.comEntity:- Accenture Strategy & ConsultingPractice:- Strategy & Consulting Global NetworkTeam:CMT S&PTitle:- Data Science ConsultantJob location:- Hyderabad/BangaloreAbout the Team:-The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.Qualification WHATS IN IT FOR YOUAs part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities.

The Marketing Senior Specialist Advisor is a highly skilled and advanced portfolio marketer, responsible for marketing Applications and Business Process Services to the external marketplace in Asia Pacific, Middle East & Africa, working with the regional marketing and sales teams. The Marketing Senior Specialist Advisor collaborates with cross functional teams to develop compelling messaging, content, and campaigns that highlight the value of company services in the assigned markets. This role ensures that the regional Sales and GTM functions are informed, trained and enabled to sell the services. III. Responsibilities might includeList responsibilities in bullet form "“ example provided Develops specific marketing plans and activities for services to establish, enhance or distinguish NTT DATA capabilities within the competitive arena. Collaborates to develop thought leadership content and point of view papers that support the positioning of the products/services in market. Contributes to the development and execution of a value proposition and messaging strategy for products/services in Applications and Business Process Services. Converts the technical positioning of the product/service into key market messages, positioning collateral and sales tools. Articulates value propositions to clients and internal stakeholders, such as sales and consulting teams. Analyzes the competitive landscape and identifies the competitive differentiation of company product against competitor products. Collaborates with regional marketing teams to drive market positioning programs and activities that are product related, thereby clearly positioning the company and the product in the market. Creates regionally relevant client marketing/reference content such as website, case studies, videos and references. Creates product presentation content that communicates the unique selling points, features and benefits of the product or solution. Works with internal teams to define and develop the required communication, training and other collateral that will enable the sales force to sell a particular product. Defines the content for and ensures the development of client collateral, sales tools, marketing programs, and sales plays. Influences the development of product go-to-market programs, initiatives and campaigns to drive awareness, interest and demand for the product. Tracks and monitors the success of the program on a scorecard or dashboard that reflects the associated metrics. Conducts competitive reviews for new initiatives and existing enhancements and monitors relevance in the context of changing market conditions and client dynamics. IV. Skills RequiredList required skills in bullet form "“ example provided) Advanced leadership collaboration and engagement skills to effectively interact with senior level stakeholders. Excellent business and commercial acumen. Excellent interpersonal skills to drive collaboration for campaigns, value propositions and marketing messages. Excellent coaching and mentoring skills. Excellent marketing writing skills with a creative flair. Strategic thinking ability to be able to think longer term impacts of marketing programs. Ability to implement sustainable and practical solutions in the business. Advanced ability to present information in a clear, concise manner. Expert analytical ability with strong attention to detail. Significant specialist knowledge of product marketing methodologies, best practices and tactics (e.g. integrated marketing campaigns). Significant knowledge and understanding of all relevant industry standards. Excellent written and verbal communications skills Ability to work with and manage many projects within the required deadlines. Significant knowledge and understanding of web analytics data (Google Analytics, WebTrends). V. Preferred skills and experienceList any nice to have skills and/or experience "“ example provided Post Graduate degree in Marketing, Communications, Journalism, Advertising, or English preferred Bachelor"™s degree or equivalent in Business, Marketing, Communication or relevant field Minimum of 12+ years business/portfolio marketing experience in a top tier IT services firm Significant experience in a product marketing role preferably in the high-tech industry. Significant experience in a product marketing targeting large enterprises in Asia Pacific, Middle East & Africa. Significant experience in launching new high-tech products and communicating benefits Significant demonstrated experience managing complex projects and executing on marketing. Significant project management experience. Significant experience in software or technology B2B product marketing. Significant experience launching new technology products or solutions. Significant experience in conducting market analysis, developing

The Marketing Senior Specialist Advisor is a highly skilled and advanced portfolio marketer, responsible for marketing Applications and Business Process Services to the external marketplace in North America, working with the regional marketing and sales teams. The Marketing Senior Specialist Advisor collaborates with cross functional teams to develop compelling messaging, content, and campaigns that highlight the value of company services in the assigned markets. This role ensures that the regional Sales and GTM functions are informed, trained and enabled to sell the services. III. Responsibilities might includeList responsibilities in bullet form "“ example provided Develops specific marketing plans and activities for services to establish, enhance or distinguish NTT DATA capabilities within the competitive arena. Collaborates to develop thought leadership content and point of view papers that support the positioning of the products/services in market. Contributes to the development and execution of a value proposition and messaging strategy for products/services in Applications and Business Process Services. Converts the technical positioning of the product/service into key market messages, positioning collateral and sales tools. Articulates value propositions to clients and internal stakeholders, such as sales and consulting teams. Analyzes the competitive landscape and identifies the competitive differentiation of company product against competitor products. Collaborates with regional marketing teams to drive market positioning programs and activities that are product related, thereby clearly positioning the company and the product in the market. Creates regionally relevant client marketing/reference content such as website, case studies, videos and references. Creates product presentation content that communicates the unique selling points, features and benefits of the product or solution. Works with internal teams to define and develop the required communication, training and other collateral that will enable the sales force to sell a particular product. Defines the content for and ensures the development of client collateral, sales tools, marketing programs, and sales plays. Influences the development of product go-to-market programs, initiatives and campaigns to drive awareness, interest and demand for the product. Tracks and monitors the success of the program on a scorecard or dashboard that reflects the associated metrics. Conducts competitive reviews for new initiatives and existing enhancements and monitors relevance in the context of changing market conditions and client dynamics. IV. Skills RequiredList required skills in bullet form "“ example provided) Advanced leadership collaboration and engagement skills to effectively interact with senior level stakeholders. Excellent business and commercial acumen. Excellent interpersonal skills to drive collaboration for campaigns, value propositions and marketing messages. Excellent coaching and mentoring skills. Excellent marketing writing skills with a creative flair. Strategic thinking ability to be able to think longer term impacts of marketing programs. Ability to implement sustainable and practical solutions in the business. Advanced ability to present information in a clear, concise manner. Expert analytical ability with strong attention to detail. Significant specialist knowledge of product marketing methodologies, best practices and tactics (e.g. integrated marketing campaigns). Significant knowledge and understanding of all relevant industry standards. Excellent written and verbal communications skills Ability to work with and manage many projects within the required deadlines. Significant knowledge and understanding of web analytics data (Google Analytics, WebTrends). V. Preferred skills and experienceList any nice to have skills and/or experience "“ example provided Post Graduate degree in Marketing, Communications, Journalism, Advertising, or English preferred Bachelor"™s degree or equivalent in Business, Marketing, Communication or relevant field Minimum of 12+ years business/portfolio marketing experience in a top tier IT services firm Significant experience in a product marketing role preferably in the high-tech industry. Significant experience in a product marketing targeting large enterprises in North America. Significant experience in launching new high-tech products and communicating benefits Significant demonstrated experience managing complex projects and executing on marketing. Significant project management experience. Significant experience in software or technology B2B product marketing. Significant experience launching new technology products or solutions. Significant experience in conducting market analysis, developing market messaging, and communicating benefits

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Position Overview: As a Sr. Media Analyst, you will be a subject matter expert in programmatic media buying leading end-to-end programmatic engagements, actively managing advertiser s budget and media performance across operated and owned and programmatic placements. You will own and manage the complete programmatic campaign life-cycle inclusive of implementing the programmatic media strategy, conducting continuous audience and media research, executing programmatic buys, creating performance reports and implementing optimizations. You will also create, activate and manage campaigns across DSPs and maintain a deep understanding of campaign management and optimization strategies along with providing detailed account analysis and campaign updates on an ongoing basis to ensure that we are delivering performance for advertisers goals. Performing evaluation of inventory sources, data, analytics solutions and technology platforms options in marketplace and develop roadmaps to help clients establish and achieve their programmatic media objective would be integral to the role. You will also lead consultative engagements by collaborating with internal stake-holders, our advertisers and their marketing agencies to contribute to the strategic insights. Being a thought leader by staying ahead of industry trends and sharing knowledge and best practices with the wider teams would be beneficial to the role. Responsibilities Must have a background working with Trading Desks, Desktop and/or Mobile digital media planning/buying tools, DSPs, SSPs, or Exchanges Have a core operational understanding of critical programmatic campaign components such asbrand safety guidelines, ad viewability, and filtering for suspicious and/or fraudulent media activity Be extremely detail-oriented, have the ability to prioritize and manage time efficiently among multiple client campaigns and daily tasks, and be able to work effectively under pressure Engage consistently with the partners & stakeholders to better understand their needs and drive solutions based on those needs Responsible for the overall category delivery pacing & performance. Accountable for the MOM overall category operational health rate which includes, KPI, error free execution, incremental sales, upsell revenue etc., Work in alliance with all team members and thereby bring in consistency with performance for the top / critical account of the category Involve actively in category specific practices discussion with manager and contribute towards process improvisation Participate in training & development planning program for new hires. As SME, will be the first point of contact for the partners and stake holders for any trading related queries which includes process, QA, platform troubleshooting etc., Willing to work on extended business projects in collaboration with other marketing / digital team About You: Minimum of Bachelor's degree or higher in marketing, economics, or technical specialty Minimum 8-10 years of experience digital / programmatic marketing Minimum of 3-5 years of experience buying and actively optimizing programmatic media campaigns using major DSPs. Team player and keen to share knowledge with the peers, contributes/respects own ideas and those of others equally. Solid understanding of the omni channel paid media practices to create a cohesive, customized programs for the customer. Experience with media planning and forecasting across an entire digital media program. Ability to manage multiple responsibilities in a fast paced environment. Previous experience managing large media accounts at a paid media agency. Passionate about media, data, analytics and technology. Experience in understanding & performing advanced analytics on digital data sources (e.g., digital analytics data, digital advertising data, DMP data, audience data, social data, search data, etc. Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test, and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Role & responsibilities Develop and maintain MIS reports and dashboards using advanced Excel functions such as VLOOKUP, HLOOKUP, Pivot Tables, and Macros. Analyze complex data sets to provide insights and recommendations for business decision-making. Ensure data accuracy, integrity, and consistency through regular audits and validations. Collaborate with cross-functional teams to understand data requirements and deliver customized reports. Automate manual reporting processes to improve efficiency and reduce turnaround time. Train and support end-users in utilizing MIS tools effectively. Stay updated with industry trends and advancements in MIS and Excel functionalities. Requirements: Bachelor's degree in Computer Science, Information Systems, or a related field. Proven experience (X years) as an MIS Specialist or similar role. Advanced proficiency in Excel (formulas, functions, pivot tables, macros) and other MIS tools. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication and interpersonal skills to effectively collaborate with stakeholders. Preferred Skills: Experience with database management systems (e.g., SQL) is a plus. Certification in Excel (e.g., Microsoft Office Specialist) would be advantageous.

Entity:- Accenture Strategy & Consulting Team:- Strategy & Consulting – Global Network Practice:- Marketing Analytics - Conversational AI Title:- Consultant – Level 9 Job location:- Bangalore/Gurgaon/Hyderabad/Mumbai About S&C - Global Network:- Accenture GN's Data & AI (AI Hub India) practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling – to outperform the competition. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role Data Science conversational consultant is expected to assist in designing/improving the solution architectures. He/She is responsible for building conversational interfaces and virtual agents for customers. He/She is also expected to provide technical assistance to the team in developing, deploying and managing the solution while maintaining the industry standards in proposing and developing the solutions. Qualifications Entity:- Accenture Strategy & Consulting Team:- Strategy & Consulting – Global Network Practice:- Marketing Analytics - Conversational AI Title:- Consultant – Level 9 Job location:- Bangalore/Gurgaon/Hyderabad/Mumbai About S&C - Global Network:- Accenture GN’s Data & AI (AI Hub India) practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling – to outperform the competition. WHAT’S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role Data Science conversational consultant is expected to assist in designing/improving the solution architectures. He/She is responsible for building conversational interfaces and virtual agents for customers. He/She is also expected to provide technical assistance to the team in developing, deploying and managing the solution while maintaining the industry standards in proposing and developing the solutions.

Job Title:GN - SC&O - S&P – Spend Analytics – Data Analyst Management Level:11 – Location:Gurgaon Must have skills:MS Excel, Spend Analytics Good to have Skills: Alteryx Job Summary : The Data Analyst will work closely with the Project Manager to assess data quality, identify gaps, conduct analysis, and draw insights. They will generate reports and extracts to support these insights and are expected to proactively identify data issues, develop solutions, and improve processes. The Data Analyst will manage databases, conduct data audits, and generate insights through analysis while collaborating with team members for continuous improvement Roles and Responsibilities: Data Handling and Analytics Data Management – Build and maintain databases by gathering data inputs from various sources. Data Refining and Enhancement – Create and maintain data refining rules and address data deficiencies through logical validation. Data Audit – Check data quality, identify gaps, and update the database as required. Data Analysis – Conduct analysis on prepared data as per defined processes and generate insights. Also, set up new analysis templates as required. Technical requirement MS Excel – Proficient in handling and structuring analysis independently; familiarity with Macros is a plus. Alteryx (Optional) – General understanding of the tool and its basic features. Professional and Technical Skills: Ability to create solutions for data / analytical problems. Build and execute reliable Excel data models to analyze spend, identify savings, and enable efficiency-related analysis. Conduct primary and secondary research to support the development of data-driven insights and process improvements. Collaborate with team members to identify key insights and opportunities. Focus on continuous process improvement Additional Information: Excellent Analytical and Research Capabilities: "Comfort and proficiency in handling large data analysis and secondary market research. Good Spoken and Written Communication Skills (English): "Ability to participate in global team calls. Advanced MS Excel Skills: "Ability to handle and structure analysis Exposure to Alteryx (Optional) Outstanding Numerical and Quantitative Analysis Capabilities. " Excellent Attention to Detail: "High output accuracy and innovative approaches to problem-solving. Good Working Knowledge of MS PowerPoint and MS Word: "Experience with creating presentations. Quick Learner of Technology: "Ability to quickly understand and adapt to new technologies . About Our Company | Accenture Qualification Experience:2+ years Educational Qualification:Bachelor’s or Master’s degree