62 Customer Analytics Jobs - Page 3

The primary responsibility is to report, analyze and provide insights on Customer Experience at Lowe s across selling channels, customer segments and product categories. The individual will apply analytical methods to combine internal and external data and analyze trends in Customer Experience Metrics and the factors that play a key role driving improvement in those metrics. This position is responsible for following best practices in turning business questions into data analysis, analyzing results and identifying insights for decision making; determine additional research/analytics that may be needed to enhance the solution; and coordinate with cross-functional teams to ensure project continuity and strategic alignment. The individual will also have to proactively take up initiatives to apply modern tools and techniques to improve efficiency, accuracy and overall quality of insights offered to stakeholders. Core Responsibilities: Analyze Customer feedback, LTR, NPS data to understand in-market trends and where to focus to improve Customer experience using Medallia platform / create reports / dashboards using Medallia capabilities. Work with our US (Mooresville) team to assist them in defining various reporting / analysis needs and building appropriate methodologies to provide actionable insights on Experience Metrics. Identifying the appropriate univariate and multivariate analysis to identify key customer trends and insights - Segmentation, Bayesian Networks, Factor analysis etc Synthesize disparate sources of data primary and secondary to develop cohesive stories, trends and insights that will drive strategic decision making across the enterprise. Leverage available information across workstreams to help connect dots and provide holistic insights on Customer Experience trends and Strategy. Work with the data operation teams to enhance data capabilities and develop tools to improve ease of access to data and BI for the broader organization Years of Experience: 3-5 Years Hands on experience with Customer Experience Analytics / Customer Analytics / Customer Insights Required Minimum Qualifications : masters degree in economics / Statistics / Analytics or MBA in Marketing Primary Skills (must have) Hands on experience in Medallia Platform, SQL, Teradata, Hadoop, Python Hands-on Analytics Experience of building Statistical / Mathematical models and multivariate analysis like Segmentation, Logistic Regression, Bayesian Networks, Factor analysis, Conjoint analysis, etc Ability to apply Analytical tools and techniques to extract insights from Structured and Unstructured data. Consulting Skills - Ability to impact business decisions through analytics and research. Hands on experience in creating Executive level audience ready presentations to tell impactful stories. Excellent communication skill to connect with people from diverse background and experience Secondary Skills (desired) Experience on working with text data would be an advantage. Experience in working with Customer Experience or Voice of Customer Metrics will be a good to have. Familiarity with retail industry and key concepts

Adobe Analytics Consultant role is to help deliver analytics for multiple web properties and support strategic initiatives to a large technology client. You will work with client s marketing and business partners to define Key Performance Indicators, (KPIs), for new projects/enhancements. You will define the best analytics approach using Adobe Analytics Product Suite. Manage the processes for capture, storage, usage and tracking of online activity from multiple web sites Full responsibility for analytics needs across customer analytics platforms Ensure data integrity & documentation of tracking standards Troubleshoot and debug analytics implementation Work across both marketing and development to support both teams with analytics tracking Engage with projects to ensure the analytics solutions meets business requirements Deliver clear and actionable recommendations to improve and optimize the customer experience Generate reports and providing insights and recommendations based on data Provide guidance to develop tagging framework and provide QA support Proactively identifies issues and recommends resolutions, working closely with key business leaders to offer alternatives and enhancements Manage the implementation and tracking of digital marketing initiatives both current and future. Required Qualifications Subject matter expert with total experience between 8-10 years with minimum 4-6 years using Adobe Analytics Suite Experience working with tagging technologies (Like GTM, Adobe DTM, Tealium, or Ensighten) is required Experience on technical architecture/framework of analytical eco-system(s) Experience in designing solutions and writing technical documentation for a medium/large scale commercial website Experience in interfacing between business and implementation units Stakeholder management skills, including strong communication and presentation experience Quick learner who can solve problems and is self-motivated Mandatory skills Platform Adobe Analytics, Google Analytics Tagging tools Adobe Launch, Tealium IQ, Google Tag Manager Web Languages HTML, JavaScript, jQuery, Data Layer Experience in setting up DataLayer format and working with Front end development teams Expertise and patience to be able to explain analytics to various groups with differing levels of analytics knowledge and acquaintance Executive and time management skills to prioritize work in a demanding environment Preferred Qualifications Intermediate/advanced experience with Adobe Analytics Advanced Excel Basic Power BI and SQL Prior experience with data collection tools (i.e. JSLL)

Skill required:Marketing and Customer Analytics - Data Science Designation:Analytics Associate Manager Job Location:Bengaluru Qualifications:Any Graduation Years of Experience:8 to 12 years What would you do? You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited to: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domains:CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Marketing Analytics - Customer Data Platforms Job Location:- Bangalore/Gurgaon/Hyderabad/MumbaiAbout S&C - Global Network (GN) :- 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. Qualifications WHATS 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 roleA Consultant/Analyst for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers. Key Duties and Responsibilities: Be a platform expert in one or more leading CDP solutions. Developer level expertise on Lytics, Segment, Adobe Experience Platform, Amperity, Tealium, Treasure Data etc. Including custom build CDPs Deep developer level expertise for real time even tracking for web analytics e.g., Google Tag Manager, Adobe Launch etc. Provide deep domain expertise in our clients business and broad knowledge of digital marketing together with a Marketing Strategist industry Deep expert level knowledge of GA360/GA4, Adobe Analytics, Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Assess and audit the current state of a clients marketing technology stack (MarTech) including data infrastructure, ad platforms and data security policies together with a solutions architect. Conduct stakeholder interviews and gather business requirements Translate business requirements into BRDs, CDP customer analytics use cases, structure technical solution Prioritize CDP use cases together with the client. Create a strategic CDP roadmap focused on data driven marketing activation. Work with the Solution Architect to strategize, architect, and document a scalable CDP implementation, tailored to the clients needs. Provide hands-on support and platform training for our clients. Data processing, data engineer and data schema/models expertise for CDPs to work on data models, unification logic etc. Work with Business Analysts, Data Architects, Technical Architec

Skill required: Marketing Operations - Campaign Analytics & Reporting Designation: Measurement & Report Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/design?The objective of a reporting analyst is to analyze metrics and design reports to help drive critical business decisions. Reporting analysts contribute to the overall improvement of business reporting by maintaining a company s data systems and implementing processes and initiatives that ultimately increase the effectiveness and integrity of data reporting and documentation. They store data, create reports, analyze reports, create custom reports, and share findings What are we looking for? ?Design business analysis and data recording systems for use throughout the department?Maintain databases and perform updates as necessary to ensure accuracy. Regularly examine data reports to locate and resolve mistakes throughout?Accurately analyze and collect data for various types of business reports. Create business reports that provide insight into key data points. Communicate the results of data analysis in written and verbal form to managers. Support various departments, including marketing and sales, in reaching their goals through analysis. Monitor data to identify changes in financial and business trends. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Effectively prospect, develop, and close new mid-market B2B sales opportunities; create strategic territory plan and drive revenue within that territory Drive new business with net new logos Meet and exceed all quarterly and annual sales quotas Accurately forecast quarterly and monthly sales Use in-depth knowledge of industry trends to consult and support prospective customers Be the voice of Coursera s Enterprise partners, sharing customer-driven insights across Coursera, including product, engineering, business development, and legal Basic Qualifications: 5+ years experience selling Enterprise SaaS solutions to Forbes 500 or equivalent accounts Demonstrated experience selling enterprise solutions into scaled to mid- segment accounts and over-achieving quarterly and annual sales targets Business development and revenue closing sales experience Ability to travel 25% of the time to customer meetings, trade shows, and events as needed Preferred Qualifications: Enterprise sales experience at a SaaS company Experience consistently exceeding quota of $500K+, with proven success in accurately forecasting targets, and achieving sales commits Ability to hold your own in meetings with C-suite executives from prospective partners and speak as a thought leader and visionary in the learning space Strong written and verbal communication skills, strong analytical and creative problem solving abilities, excellent interpersonal skills, organizational, and operational skills Entrepreneurial drive and ability to work autonomously in fast moving, quickly-changing environments If this opportunity interests you, you might like these courses on Coursera: Business Strategy Business Analytics Influencing People Customer Analytics

Job Title Consultant - Business Consulting (Telecom, OSS/BSS) Responsibilities Gathering, identifying, and documenting business requirement and creating functional specifications for new systems and processes Assessing as-is processes, doing gap analysis, creating to-be processes and making recommendations to implement changes Consulting clients in analyzing B2B customer segments for growth opportunities, designing B2B customer analytics Technology Project Management including managing technology vendors and client stakeholders Manage large projects and programs in a multi-vendor scenario and globally spread team and deliver the outcome leveraging Agile principle and applying DevOps capabilities Lead and manage pursuits with telecom prospects, specifically articulating Infosys’ products, and services unique value proposition through practical use cases across the value chain Manage, design, and implement leading edge, client-specific solutions, including development of business case, IT strategy development and tools/software considerations around Digital solutions Work closely with client IT teams and business personnel to uncover opportunities and draw actionable insights Involvement in additional internal firm building activities such as knowledge management and recruiting Lead and support sales efforts for new and existing clients in creation of proposals, preparation and facilitation of sales presentations, plan and participate in client meetings and discussions Represent Infosys Consulting and present papers in industry conferences Provide Technology and Consulting Leadership within/outside the firm on trends around one or more of latest Digital technologies (Robotic Process Automation, Business Intelligence, Artificial Intelligence, Machine Learning, Big Data technologies, Data Analytics, IoT etc.) Technical and Professional Requirements: Previous consulting experience in a leading consulting firm is preferred At least 3 years of experience in Business Analysis, designing, defining, or managing projects on digital technologies in telecom industry Bachelor’s degree / Full time MBA/PGDM from Tier1/Tier2 B Schools in India or foreign equivalent required Understanding of B2B marketing processes in telecom Project/program management of large and complex IT projects/programs Managing implementation of various BSS/OSS products and assist in areas including Wireless networks, Network as a Service, Omni Channel, Customer engagement and Payments, Billing, and Revenue Assurance Digital technology areas like mobility, cloud, data analytics, insights, and reporting platforms like Power-BI, IOT, AI/ ML Business analysis, Process definition and continuous improvement exercises using various business consulting tools and methodologies Preferred Skills: Domain->Telecom->Telecom - ALL Domain->Telecom->OSS/BSS Additional Responsibilities: Customer centric redesign of operations and business processes Strong knowledge of Agile development practices (Scrum), methodologies and tools. Educational Requirements Master Of Business Adm.,Bachelor of Engineering Service Line Infosys Consulting * Location of posting is subject to business requirements

Entity:- Accenture Strategy & Consulting Team:- Strategy & Consulting Global Network Practice:- Marketing Analytics - Conversational AI Title:- Ind & Func AI Decision Science Analyst 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 YOUAs 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 analyst is expected to assist in the development of AI driven bot. 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 and deploying the bot. Who we are looking forMust Have :- 2-4 years of relevant experience Should have hands on experience with at least one Machine learning algorithm. Programming language Python and SQL NLP, Journey Analytics, segmentation, propensity models, Customer analytics Concepts of Intent, Entity, Fallback Management and Context Management Dialogflow, Rasa Ability to create data science model independently Good To Have:- Webhooks and Ngrok,. Omni Channel Integration Regression Testing Understanding of CI/CD pipelines. Experience with proposing solution architectures Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. Qualifications Who we are looking forMust Have :- 2-4 years of relevant experience Should have hands on experience with at least one Machine learning algorithm. Programming language Python and SQL NLP, Journey Analytics, segmentation, propensity models, Customer analytics Concepts of Intent, Entity, Fallback Management and Context Management Dialogflow, Rasa Ability to create data science model independently Good To Have:- Webhooks and Ngrok,. Omni Channel Integration Regression Testing Understanding of CI/CD pipelines. Experience with proposing solution architectures Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Role & responsibilities Data Collection & Management: Gather data from various sources, including e-commerce platforms, CRM systems, marketing platforms, and internal databases. Clean, validate, and organize data for analysis. Data Analysis & Interpretation: Conduct in-depth analysis of sales data, customer demographics, website traffic, marketing campaign performance, and other relevant metrics. Identify trends, patterns, and insights that can inform business decisions. Performance Reporting: Develop and maintain regular reports and dashboards to track key performance indicators (KPIs) and provide insights into business performance. Visualize data in a clear and concise manner for stakeholders. E-commerce Analysis: Analyse e-commerce platform data to optimize product listings, pricing strategies, and customer experience. Identify opportunities to increase conversion rates and average order value. Preferred candidate profile Experience with e-commerce platforms (e.g., Shopify, Amazon Seller Central). Knowledge of statistical modelling and machine learning techniques. Experience with data warehousing and ETL processes. Perks and benefits Competitive pay and a positive work environment with growth opportunities. Hybrid Designs Pvt. Ltd. is an equal opportunity employer.

Responsibilities As a consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work developing solutions that excel at user experience, style, performance, reliability and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on clients priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions. Make sure that all integration solutions meet the client specifications and are delivered on time. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 5-8 years of experience with software development, At least 5 year(s) of working experience in the related field is required for this position Experience in Technical and Functional experience in Oracle Retail (RETEK), Oracle Retail Merchandising System (RMS), Oracle Retail Data Warehousing (RDW), Retail Predictive Application Server (RPAS), Retail Demand Forecasting (RDF), Retail Price Management (RPM), Retail Integration Bus (RIB), Retail Merchandise Financial Planning (MFP), Oracle Retail Allocations, Oracle Retail Optimization (RO), RA Merchandise (Oracle Retail Merchandising Analytics), RA Customer (Oracle Retail Customer Analytics), WMS. Experience in Oracle retail consultants provide extensive functional expertise across RPAS(Retail Predictive Application Server), SIM(Store Inventory Management), AIP(Advanced Inventory Planning), WMS etc. Have the ability to work around the onshore-offshore resourcing model Respond to technical queries / requests from team members and customers Preferred technical and professional experience Good experience in application of standard software development principles. Holding in-depth knowledge of at least one development technology/programming language. Understanding of design patterns

Role: SM Product Analytics (Mobile App & Web) Reporting to: Head of Analytics Experience - 6 - 12 Years Location: Mumbai Kalina, Santacruz East Product Background: Experience with OTT, DTH, and mobile TV apps such as Hotstar, Jio, and Netflix. Key Skills: Collaborated effectively with product teams Strong application analytics background Proficiency in data analysis tools (e.g., SQL, Excel, Tableau/Power BI) and user research methodologies Expertise in analyzing clickstream data; experience with Mixpanel preferred (Digital Analytics) Dashboard creation and visualization Understanding of feature rollout processes and collaboration with IT/tech teams to ensure data capture for relevant features Mandatory experience in mobile app or web product environments Role & responsibilities As a Product Analyst, you'll play a pivotal role in driving the success of our mobile app and web platform. You'll be responsible for analyzing user behavior, market trends, and competitive landscapes to inform product strategy and development. Your insights will help us create exceptional user experiences and achieve our business objectives. User Research and Analysis: Conduct user research studies (e.g., surveys, interviews, usability testing) to understand user needs, pain points, and preferences. Analyze user data (e.g., usage metrics, feedback) to identify trends, patterns, and opportunities for improvement. Create user personas and journey maps to represent target users and their interactions with our products. Market Analysis: Track industry trends, competitor activities, and emerging technologies to identify potential threats and opportunities. Analyze market data (e.g., market size, growth rates, customer demographics) to inform product positioning and pricing strategies. Product Strategy: Collaborate with product managers and stakeholders to define product vision, goals, and roadmaps. Develop product requirements and specifications based on user research, market analysis, and business objectives. Prioritize product features and functionalities based on their impact on user experience and business value. Data Analysis and Reporting: Utilize data analytics tools to measure product performance and track key metrics (e.g., user acquisition, engagement, retention). Prepare regular reports and presentations to communicate findings and recommendations to stakeholders. A/B Testing and Experimentation: Design and execute A/B tests and other experiments to test hypotheses and optimize product features. Analyze test results to identify winning variations and inform product improvements. Preferred candidate profile Bachelor's degree in any quant discipline like Statistics or Mathematics or Business Analytics. 6+ years of experience in product analysis, market research, or a similar role. Strong analytical skills and ability to interpret data to inform decision-making. Expertise with data analysis tools (e.g., SQL, Excel, Tableau) and user research methodologies. Expertise in analyzing clickstream data, preferred tool Mix Panel Excellent communication and presentation skills, both written and verbal. Passion for technology and a strong understanding of mobile app and web development. Ability to work effectively in a fast-paced, collaborative environment. Experience with agile development methodologies. Knowledge of UX/UI design principles. Experience working on mobile app or web products.

JD - Senior Data Scientist (Campaign Analytics) - Mumbai based NBFC Experience - 4-8 Years 5 Days work from Office Mandatory Skills - BFSI relevant exp (banking and NBFCs only) Role & responsibilities Campaign Analytics & Modelling Develop and maintain models to evaluate and optimize marketing campaigns, ensuring they meet performance goals across multiple channels (e.g., digital, social media, email, paid media, etc.). Campaign Optimization: Design experiments, A/B testing frameworks to measure and optimize campaign performance. Provide actionable recommendations for improving marketing strategies and enhancing customer engagement. Digital Journey Analytics: Analyse the entire customer journey across digital touchpoints (website, mobile apps, social media, email, etc.) to understand user behaviour, identify pain points, and discover opportunities for optimization. MIS & Reporting: Prepare and circulate MIS reports, dashboards Stakeholder Engagement: Co-ordinate with business, product, campaign teams for efficient usage of analytical models, their tracking & effectiveness Mentorship: Mentor junior data scientists and provide guidance on best practices in analytics and modeling. Lead by example in promoting a data-driven culture within the organization. Preferred candidate profile Experience in campaign and performance marketing analytics, preferably in lending / BFSI organizations Advanced proficiency in Python, SQL & cloud environments Model building experience with proficiency in statistical concepts regression, trees, SVMs, clustering, market mix modelling, A/B testing Ability to identify patterns, trends, and opportunities for optimization in digital marketing, digital journey funnels Ability to continuously identify opportunity areas to improve funnels, marketing campaign performance through analytics Experience in reporting, visualization & optimization of campaigns & digital journeys Internal and external stakeholder management.