62 Customer Analytics Jobs - Page 2

Role Overview: We are seeking an experienced Customer Success Analyst to join our dynamic team. The ideal candidate will have a strong background in business analysis and possess exceptional customer success skills. This role will involve working closely with both customers and internal teams to ensure the successful implementation, adoption, and continuous improvement of our product. You will play a key role in gathering customer requirements, managing client relationships, and ensuring that customer needs are met, leading to high levels of satisfaction and retention. Key Responsibilities: Serve as a liaison between customers and internal teams (product, technical, and sales) to ensure successful implementation and adoption of GC. Gather, analyze, and document customer requirements, translating them into actionable insights and product specifications. Work closely with customers to understand their business needs and provide recommendations on how to best leverage GC to achieve their goals. Conduct business analysis, hold regular check-ins with customers, and provide data-driven insights to improve customer success and product offerings. Monitor and track customer usage and satisfaction to ensure the products meet their expectations and business objectives. Drive product activation and provide continuous support throughout the customer lifecycle, ensuring customers realize the full value of the product. Proactively identify opportunities for upselling or cross-selling modules based on customer needs and use cases. Required Skill Set: Bachelors degree in Computer Science, Information Technology or a related field. 2+ years of experience as a Business Analyst or in a related role, preferably in a B2B product-based company. Any work experience in customer success or a client-facing role is preferred. Strong understanding of data analysis tools and techniques (e.g., Excel, SQL). Proven track record of working directly with clients to understand their needs and deliver solutions that drive customer satisfaction and business growth. Strong analytical mindset, capable of interpreting data, identifying trends, and making strategic recommendations based on insights. Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.

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

Job Title : Customer Data Analyst (Development Focus) Role Description: As a Customer Data Analyst with a development focus, you will play a critical role in leveraging our customer data analytics infrastructure, providing inputs towards its refinement, and enabling extraction of actionable insights from customer behaviour to drive business growth. You will collaborate closely with the development team to integrate data pipelines, build custom analytics models, and deliver data-driven insights that inform customer communication & merchandise planning / buying / pricing decisions. Key Responsibilities: Data Collection and Integration: Design and implement data pipelines to Integrate customer data from various sources (CRM, website analytics, app usage, etc.) ensuring data quality and consistency. Collaborate with data analyst team to create data ingestion frameworks and APIs for seamless data flow. Data Analysis and Modelling: Conduct exploratory data analysis to identify trends, patterns, and key customer segments. Develop predictive models using machine learning techniques to forecast customer behaviour (e.g., churn prediction, purchase propensity, etc). Build custom analytics dashboards and reports to visualize key metrics and insights for product teams. Data Infrastructure Development: Participate in the design and implementation of our data warehouse architecture. Develop data quality checks and monitoring systems to ensure data accuracy. Proactively identify and implement new data analysis tools and technologies to enhance capabilities. Required Skills and Qualifications: Technical Skills: Strong proficiency in SQL for data manipulation and query writing. Familiarity with programming languages like Python and statistical analysis packages. (Valuable Addition) Knowledge of data visualization tools (e.g., Tableau, Power BI). Analytical Skills: Ability to interpret complex data sets and extract meaningful insights. Experience with statistical analysis techniques (e.g., regression analysis, hypothesis testing, A/B Testing). Strong problem-solving skills to identify root causes and develop data-driven solutions. Communication and Collaboration: Ability to collaborate effectively with cross-functional teams (business, RRA team, marketing). Comfortable working in a fast-paced environment with tight deadlines. Good communication skills to clearly present complex data findings to stakeholders.

Job ID/Reference Code INFSYS-NAUKRI-202236 Work Experience 3-6 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

Key Responsibilities: 1. To execute and deliver projects and ensure quality of projects in terms of timelines, deliverables, and logistics 2. To identify and pursue new opportunities with new or existing clients for lead generation 3. To assist in developing winning business proposals for prospective clients after understanding the context, doing backend research and taking inputs from seniors 4. Adherence to internal processes & contribute to internal activities Key Competencies: Organizational Ownership Values Alignment & Achievement Orientation: a. Reliability and Conscientiousness b. Integrity & Openness c. Enthusiasm & Engagement d. Demonstrate motivation, drive to meet and exceed expectations and own standards Relationship Management: a. Ability to initiate and grow mutually beneficial relationships b. Actively develop networks c. Manages potentially difficult relationships Attention to detail: a. Able to 'zoom in' to detail quickly and accurately b. Check information, pick up inconsistencies and mistakes c. Can make detailed comparisons between similar sources Initiative: a. Identify ways to improve processes/situations b. Effectively solving problems Task Management: a. Task Prioritization b. Make realistic estimates of time and resource requirements.

Key Responsibilities: 1. To execute and deliver projects and ensure quality of projects in terms of timelines, deliverables, and logistics 2. To identify and pursue new opportunities with new or existing clients for lead generation 3. To assist in developing winning business proposals for prospective clients after understanding the context, doing backend research and taking inputs from seniors 4. Adherence to internal processes & contribute to internal activities Key Competencies: Organizational Ownership Values Alignment & Achievement Orientation: a. Reliability and Conscientiousness b. Integrity & Openness c. Enthusiasm & Engagement d. Demonstrate motivation, drive to meet and exceed expectations and own standards Relationship Management: a. Ability to initiate and grow mutually beneficial relationships b. Actively develop networks c. Manages potentially difficult relationships Attention to detail: a. Able to 'zoom in' to detail quickly and accurately b. Check information, pick up inconsistencies and mistakes c. Can make detailed comparisons between similar sources Initiative: a. Identify ways to improve processes/situations b. Effectively solving problems Task Management: a. Task Prioritization b. Make realistic estimates of time and resource requirements

Dashboarding & Insight Generation Tag Management GA/Adobe Analytics Implementation Attribution, Single Source of Truth and MIS Automation 5+ years of experience in - Data Analytics, Implementation of Analytics Platform, Attribution Framework Required Candidate profile Marketing strategy & planning Well versed with Attribution Logics Marketing target management Channel management Data analytics (Analytic Tools) Advanced SQL queries, Python & Advanced Excel

Join us as a Solution Architect at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Solution Architect you should have experience with: Public Cloud: Strong knowledge of major public cloud platforms (e. g. , AWS, Azure, Google Cloud) for hybrid or multi-cloud deployments, including services like compute, storage, and networking Hybrid Cloud: Ability to integrate private and public clouds for scalability, cost-efficiency, and resilience Experience with CI/CD pipelines (e. g. , Jenkins, GitLab CI, Azure DevOps) to enable rapid, reliable deployment of banking applications. Infrastructure as Code (IaC) skills using tools like Terraform or Ansible for automated provisioning and management. Containerization and orchestration expertise (e. g. , Docker, Kubernetes) for microservices-based architectures common in banking products. Understanding of banking regulations and compliance standards (e. g. , PCIR, INDIA, UAE & APAC payments regulations) to ensure solutions meet legal and security requirements. Familiarity with core banking systems, payment processing (e. g. , RTGS, UPI, NEFT, IMPS, Cross Border, UAE local scheme, NPSS, etc ), and financial APIs (e. g. , Open Banking standards). Knowledge of securing cloud environments (e. g. , encryption, identity access management, firewalls, etc) to protect sensitive financial data. Experience with risk assessment and mitigation strategies in cloud and DevOps workflows. Some other highly valued skills may include: Certifications like AWS Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Architect. Vendor-specific private cloud certifications (e. g. , VMware VCP, Red Hat Openshift). Experience with serverless computing (e. g. , AWS Lambda, Azure Functions) for cost-effective, scalable banking microservices. Knowledge of blockchain or distributed ledger technology for secure transaction systems. Familiarity with AI/ML integration for fraud detection or customer analytics in banking. Expertise in monitoring and observability tools (e. g. , Prometheus, Grafana, ELK Stack) for real-time system performance tracking. Proficiency in GitOps workflows for streamlined deployments. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Pune. Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank s resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

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.

Conduct advanced statistical analysis to identify trends, patterns, and insights. Develop and implement machine learning models for predictive analytics. Collaborate with cross-functional teams to gather and analyze data requirements. Clean and preprocess data for analysis using programming languages like Python or R. Create visualizations and reports to communicate findings to stakeholders. Stay updated on industry trends and emerging technologies in data science.

JOB DESCRIPTION To be successful in this role, you will require: Strong leadership of in business teams in Digital and Data supporting the transformation efforts underpinning the GTB strategy. Day to day oversight and management of the teams reporting directly to the head of the DDnA function. Collaborate with Accountable Execs and leaders across the business in Corporate Banking (UK and International) and Global Transaction Banking functions to improve ways of working and ensure interdependencies across initiatives and programmes are well managed. Accountable for the delivery and ownership of key strategic initiatives across the digital and data agenda. Some other highly desired skills are: Strong leadership and talent development skills and experience required Highly experienced in rolling of modern ways of working across complex org structures Strong financial and delivery management track record Strong influencing and communication skills Ability to attract diverse, high performing talent into the team at all levels You may be assessed on the key critical skills relevant for success in role, such as strong experience in communication skills, stakeholder management and an inquisitive and driven mindset as well as job-specific technical skills. This role will be based in Noida Overall purpose of role [Mix of BCP product owner and head of data job profiles] To lead all in-business teams across the India region supporting the Digital, Data and Analytics agenda. Accountable for driving business and client value delivering key strategic initiatives across our digital and data strategy, our pivot towards a customer journey led approach and unlocking high quality business capabilities used by customers, clients and colleagues. Key Accountabilities [Mix of BCP product owner and head of data job profiles] Alignment of Propositional and Commercial outcomes to the wider Business Agenda and Strategy and ratifies the Benefits Cases from both a cost to deliver and achievability perspective. Prioritisation and management of the digital and data backlog of requirements both at Journey/capability level and within the scope of the defined Projects/Releases. Planning of show & tell sessions, engagement with stakeholders throughout the development process. Definition and oversight of digital and data governance and procedures, and data analytics and insights to address control and regulatory requirements, including Data Privacy Analysis of the bank's current data landscape, identify key data assets and gaps, and develop a roadmap for future data initiatives. Development of a team of digital and data professionals with expertise in digital product ownership, data analytics, data science, and other relevant disciplines. Monitoring team performance and setting clear performance expectations.

Formulate marketing strategy at product level for sales growth of Independent aftermarket Determine on Part level price change rate based on raw material index, competition & Nett Price Position corridor to improve EBIT Create, manage and maintain part number material masters in System Application and Product(SAP) to facilitate billing of part number Establish Product Life Cycle by analyzing the Vehicle Parc, market research, product road map & customer analytics to optimize the portfolio. Develop a plan for Product promotions, product establishment in market for effective sales of new products in market. Formulate an annual planning of volumes and Turnover, for calendar financial year to support business unit operations. Collect and consolidate competition data and bench marking the Bosch product portfolio to maintain competitiveness in market. Define and conduct Product competency development of Bosch Sales Force and Distributor sales force to improve product knowledge. Maintain the Gross Margins and Minimum Target Margin at Part Number Level to improve EBIT Defining brand loyalty programs, timely product communications for utilization of Product budget for product growth

About Sixer Sixer is an innovative online platform that enables cricket fans to experience the excitement of trading cricket players. By tracking player performance, our revolutionary fantasy game allows you to build a portfolio of players and watch as their value fluctuates based on their on-field success. Sixer is transforming fan engagement and redefining how cricket is enjoyed with its interactive and thrilling ecosystem. Join Sixer today and experience the thrill of a fantasy sports market like never before! For more information: https://sixergame. com/ Role Overview We are looking for a Data Scientist specializing in product and customer analytics. The ideal candidate has a strong foundation in machine learning and statistics, with experience applying these skills to solve business problems such as churn prediction, customer lifetime value (LTV) modeling, bonusing optimization, and customer journey analysis. While your primary focus will be product analytics, you should be comfortable stepping into other data science or analytics tasks, e. g. sports analytics or dashboarding. Key Responsibilities Data Analysis & Insights: Analyze user behaviour and product interactions to uncover trends and actionable insights. Collaborate with Marketing, Product, and Operations teams to design experiments and interpret results. Predictive Modeling: Develop and optimize models for churn prediction, LTV, customer segmentation, and recommendations. Define success metrics and performance benchmarks with stakeholders. Reporting: Provide quick, data-driven reports to support strategic and operational decisions. Model Development & Deployment: Train, validate, and deploy models using AWS SageMaker or similar platforms. Ensure seamless integration and continuous performance monitoring. Communication: Present insights in a clear, impactful manner for both technical and non-technical audiences. Work with data engineers to enhance pipelines and maintain data quality. Cross-Domain Support: Apply analytical expertise to sports analytics or other evolving projects as needed. Qualifications 2-3 years in a data science or machine learning role, preferably with exposure to customer analytics. Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase Solid understanding of supervised/unsupervised learning, feature engineering, and model evaluation. Proficient in statistical analysis, hypothesis testing, and experiment design. Comfortable with SQL and data preparation/querying. Understanding MLOps and model deployment. Strong ability to translate complex findings into actionable insights for stakeholders. Interest or experience in finance and/or sports analytics. Bonus: Knowledge of econometrics. Working at Sixer At Sixer, you can be a part of shaping the future of finance and gaming, which is a pioneering feat in the industry. You will encounter fast-paced, challenging and exceptional problems that require your expertise. Our organization follows a flat structure with an international work environment that fosters a collaborative spirit. Working with us presents excellent opportunities for career growth in a rapidly expanding company, and we offer competitive compensation packages. We also provide flexible working hours to ensure a work-life balance.

About Sixer Sixer is an innovative online platform that enables cricket fans to experience the excitement of trading cricket players. By tracking player performance, our revolutionary fantasy game allows you to build a portfolio of players and watch as their value fluctuates based on their on-field success. Sixer is transforming fan engagement and redefining how cricket is enjoyed with its interactive and thrilling ecosystem. Join Sixer today and experience the thrill of a fantasy sports market like never before! For more information: https://sixergame.com/ Role Overview We are looking for a Data Scientist specializing in product and customer analytics. The ideal candidate has a strong foundation in machine learning and statistics, with experience applying these skills to solve business problems such as churn prediction, customer lifetime value (LTV) modeling, bonusing optimization, and customer journey analysis. While your primary focus will be product analytics, you should be comfortable stepping into other data science or analytics tasks, e.g. sports analytics or dashboarding. Key Responsibilities Data Analysis & Insights: Analyze user behaviour and product interactions to uncover trends and actionable insights. Collaborate with Marketing, Product, and Operations teams to design experiments and interpret results. Predictive Modeling: Develop and optimize models for churn prediction, LTV, customer segmentation, and recommendations. Define success metrics and performance benchmarks with stakeholders. Reporting: Provide quick, data-driven reports to support strategic and operational decisions. Model Development & Deployment: Train, validate, and deploy models using AWS SageMaker or similar platforms. Ensure seamless integration and continuous performance monitoring. Communication: Present insights in a clear, impactful manner for both technical and non-technical audiences. Work with data engineers to enhance pipelines and maintain data quality. Cross-Domain Support: Apply analytical expertise to sports analytics or other evolving projects as needed. Qualifications 2-3 years in a data science or machine learning role, preferably with exposure to customer analytics. Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase Solid understanding of supervised/unsupervised learning, feature engineering, and model evaluation. Proficient in statistical analysis, hypothesis testing, and experiment design. Comfortable with SQL and data preparation/querying. Understanding MLOps and model deployment. Strong ability to translate complex findings into actionable insights for stakeholders. Interest or experience in finance and/or sports analytics. Bonus: Knowledge of econometrics. Working at Sixer At Sixer, you can be a part of shaping the future of finance and gaming, which is a pioneering feat in the industry. You will encounter fast-paced, challenging and exceptional problems that require your expertise. Our organization follows a flat structure with an international work environment that fosters a collaborative spirit. Working with us presents excellent opportunities for career growth in a rapidly expanding company, and we offer competitive compensation packages. We also provide flexible working hours to ensure a work-life balance.

Greetings from HR Central!!! We do have an Urgent Opening for One of the Leading Company for Technical CRM Specialyst role for Bangalore Location for UK Shift. Experience: 3-5 Years UK shift Work from Office Job Location: Bangalore-Looking for Local Candidates Mandatory Skills: Excellent Communication, Python,SQL,Large Data Sets,CRM Tool Notice Period: Immediate to15 Days Only. Job Description: CRM Technical Specialist CRM Department The CRM team is responsible for communications across email, mobile push and web push channels. We focus on our existing customers and manage our interactions and touchpoints to ensure that we optimise revenue generation, drive traffic to the website and app, and extend the active customer lifecycle. We also work closely with the Marketing and Product teams to ensure that any initiatives are integrated with CRM activities. Our setup is highly data driven and requires the understanding and skill set to work with large datasets, employing data science techniques to create personalised content at a 1:1 level. The candidate for this role will have to demonstrate a strong background working in this environment, and have a proven track record of striving to find technical solutions for the many projects and situations that the business encounters. Overview of role Setting up automation pipelines in Python and SQL to flow data in and out of CRM platform for reporting, personalisation and use in data warehousing (Redshift) Writing, managing, and troubleshooting template logic written in Freemarker. Building proprietary algorithms for use in CRM campaigns, targeted at improving all areas of customer lifecycle. Working with big datasets to segment audiences on a large scale. Driving innovation by planning and implementing a range of AB tests. Acting as a technical touchpoint for developer and product teams to push projects over the line. Integrating product initiatives into CRM, and performing user acceptance testing (UAT) Interacting with multiple departments, and presenting to our executive team to help them understand CRM activities and plan new initiatives. Working with third party suppliers to optimise and improve their offering. Creating alert systems and troubleshooting tools to check in on health of automated jobs running in Jenkins and CRM platform. Setting up automated reporting in Amazon Quicksight. Assisting other teams with any technical advice/information they may require. When necessary, working in JavaScript to set up Marketing and CRM tags in Adobe Launch. Training team members and working with them to make processes more efficient. Working with REST APIs to integrate CRM System with a range of technologies from third party vendors to in-house services. Contributing to discussions on future strategy, interpretation of test results, and helping resolve any major CRM issues Key skills required Strong background in SQL Experience with a programming language (preferably Python & Free marker) Understanding of REST APIs and how to utilise them Technical-savvy you cast a creative eye on all activities of the team and business and suggest new ideas and improvements Comfortable presenting and interacting with all levels of the business and able to communicate technical information in a clear and concise manner. Ability to work under pressure and meet tight deadlines. Strong attention to detail Experience working with large datasets, and able to spot and pick up on important trends Understanding of key CRM metrics on performance and deliverability If interested, please share CV to anisha@hr-central.in or call me @ +91-9562044988

Brand Advertising; Internal Communications; External Communications; Customer Experience Design; Research; Product Development; Solution Development; Pricing; Vision/ Strategic Planning; Strategic Forecasting Analysis; Marketing Operations; Customer Analytics Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Grade 11 Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise. Key Responsibilities: Collaborate with stakeholders to gather, analyze, and document business and technical requirements. Work closely with development, data engineering, and product teams to translate business needs into functional specifications. Drive automation, transformation, and optimization initiatives to enhance business processes. Conduct feasibility studies and impact analysis for new and existing projects. Create detailed business cases, process flows, wireframes, and user stories to facilitate solution development. Act as a liaison between business units, IT, and technical teams to ensure smooth project execution. Identify key performance indicators (KPIs) and success metrics for project evaluation. Support data-driven decision-making by analyzing and visualizing business trends. Assist in UAT (User Acceptance Testing) and ensure successful implementation of solutions. Document project updates, risks, and dependencies to ensure stakeholders are well-informed. Required Skills Qualifications: 3-7 years of experience as a Business Analyst, preferably handling multiple projects. Strong understanding of both business and technical aspects in a fast-paced environment. Experience working with data engineering, cloud technologies, and automation tools . Proficiency in SQL, data analysis, and visualization tools (e.g., Power BI, Tableau). Hands-on experience with Agile methodologies, JIRA, and Confluence . Ability to create process diagrams, wireframes, and functional specifications. Strong analytical, problem-solving, and stakeholder management skills. Excellent verbal and written communication skills to articulate complex concepts. Ability to work independently and manage multiple priorities efficiently. Preferred Qualifications: Experience in cloud platforms (AWS, Azure, or GCP) . Exposure to machine learning, AI, or automation projects . Knowledge of Python, APIs, and scripting for process optimization. Certification in CBAP, PMI-PBA, or Agile methodologies . Why Join Us Opportunity to work on cutting-edge projects with a high-impact team. Exposure to automation, transformation, and optimization initiatives . Collaborative work environment with a strong focus on career growth . If you are passionate about leveraging technology to drive business success and have a knack for managing multiple projects, we d love to hear from you! FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the worlds largest express transportation companies and has consistently been selected as one of the top 10 World s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970 s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today s global marketplace.

On-site Agency : PivotRoots Job Description : PivotRoots, a Havas Company, is seeking a highly skilled Data Scientist with 6-8 years of experience to develop and implement advanced customer science models that drive actionable insights and measurable business impact. This role demands expertise in predictive modeling, customer analytics, and cloud technologies to enhance data-driven decision-making. Key Responsibilities Lead the development of sophisticated customer science models including churn prediction, customer segmentation frameworks, and lifetime value (LTV) models Translate complex business problems into analytical solutions that address marketing use cases Oversee data pipeline development and optimization across cloud platforms Mentor and develop a team of data scientists, fostering a culture of innovation and excellence Collaborate with cross-functional teams to implement and measure the impact of data-driven strategies Establish best practices for model development, validation, and deployment Required Qualifications Minimum 6 years of experience building customer science models, particularly in churn modeling , segmentation frameworks, and LTV modeling Strong proficiency in Python for data manipulation, analysis, and model development Demonstrated experience working with cloud platforms including GCP and AWS Expert-level knowledge of big data technologies including BigQuery and AWS Redshift Experience applying data science to marketing use cases and problems Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders Bachelors degree in a quantitative field (Computer Science, Statistics, Mathematics, or related) Preferred Qualifications Experience with AWS EMR Studio Advanced degree (MS/PhD) in a quantitative discipline Experience leading data science teams Knowledge of MLOps practices and tools Understanding of the Indian market dynamics and customer behavior What We Offer Opportunity to shape the data science strategy for a growing organization Collaborative work environment with talented professionals Competitive compensation package Professional development opportunities Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job.

On-site Agency : PivotRoots Job Description : PivotRoots, a Havas Company, is seeking a highly skilled Data Scientist with 6-8 years of experience to develop and implement advanced customer science models that drive actionable insights and measurable business impact. This role demands expertise in predictive modeling, customer analytics, and cloud technologies to enhance data-driven decision-making. Key Responsibilities Lead the development of sophisticated customer science models including churn prediction, customer segmentation frameworks, and lifetime value (LTV) models Translate complex business problems into analytical solutions that address marketing use cases Oversee data pipeline development and optimization across cloud platforms Mentor and develop a team of data scientists, fostering a culture of innovation and excellence Collaborate with cross-functional teams to implement and measure the impact of data-driven strategies Establish best practices for model development, validation, and deployment Required Qualifications Minimum 6 years of experience building customer science models, particularly in churn modeling , segmentation frameworks, and LTV modeling Strong proficiency in Python for data manipulation, analysis, and model development Demonstrated experience working with cloud platforms including GCP and AWS Expert-level knowledge of big data technologies including BigQuery and AWS Redshift Experience applying data science to marketing use cases and problems Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders Bachelors degree in a quantitative field (Computer Science, Statistics, Mathematics, or related) Preferred Qualifications Experience with AWS EMR Studio Advanced degree (MS/PhD) in a quantitative discipline Experience leading data science teams Knowledge of MLOps practices and tools Understanding of the Indian market dynamics and customer behavior What We Offer Opportunity to shape the data science strategy for a growing organization Collaborative work environment with talented professionals Competitive compensation package Professional development opportunities Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job.

Job Title : Customer Data Analyst (Development Focus) Role Description: As a Customer Data Analyst with a development focus, you will play a critical role in leveraging our customer data analytics infrastructure, providing inputs towards its refinement, and enabling extraction of actionable insights from customer behaviour to drive business growth. You will collaborate closely with the development team to integrate data pipelines, build custom analytics models, and deliver data-driven insights that inform customer communication & merchandise planning / buying / pricing decisions. Key Responsibilities: Data Collection and Integration: Design and implement data pipelines to Integrate customer data from various sources (CRM, website analytics, app usage, etc.) ensuring data quality and consistency. Collaborate with data analyst team to create data ingestion frameworks and APIs for seamless data flow. Data Analysis and Modelling: Conduct exploratory data analysis to identify trends, patterns, and key customer segments. Develop predictive models using machine learning techniques to forecast customer behaviour (e.g., churn prediction, purchase propensity, etc). Build custom analytics dashboards and reports to visualize key metrics and insights for product teams. Data Infrastructure Development: Participate in the design and implementation of our data warehouse architecture. Develop data quality checks and monitoring systems to ensure data accuracy. Proactively identify and implement new data analysis tools and technologies to enhance capabilities. Required Skills and Qualifications: Technical Skills: Strong proficiency in SQL for data manipulation and query writing. Familiarity with programming languages like Python and statistical analysis packages. (Valuable Addition) Knowledge of data visualization tools (e.g., Tableau, Power BI). Analytical Skills: Ability to interpret complex data sets and extract meaningful insights. Experience with statistical analysis techniques (e.g., regression analysis, hypothesis testing, A/B Testing). Strong problem-solving skills to identify root causes and develop data-driven solutions. Communication and Collaboration: Ability to collaborate effectively with cross-functional teams (business, RRA team, marketing). Comfortable working in a fast-paced environment with tight deadlines. Good communication skills to clearly present complex data findings to stakeholders.

The Data Engineering team within the AI, Data, and Analytics (AIDA) organization is the backbone of our data-driven sales and marketing operations. We provide the essential foundation for transformative insights and data innovation. By focusing on integration, curation, quality, and data expertise across diverse sources, we power world-class solutions that advance Pfizer s mission. Join us in shaping a data-driven organization that makes a meaningful global impact. Role Summary We are seeking a technically adept and experienced Data Solutions Engineering Manager with a passion for developing data products and innovative solutions to create competitive advantages for Pfizer s commercial business units. This role requires a strong technical background to ensure effective collaboration with engineering and developer team members. As a Data Solutions Engineer in our data lake/data warehousing team, you will play a crucial role in building data pipelines and processes that support data transformation, workload management, data structures, dependencies, and metadata management. This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business users needs and will well modeled and organized to promote scalable usage and good data hygiene . Work with complex and advanced data environments, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations. The Data Solutions Engineering Manager will ensure data quality and integrity by validating and cleansing data, identifying, and resolving anomalies, implementing data quality checks, and conducting system integration testing (SIT) and user acceptance testing (UAT). The ideal candidate is a passionate and results-oriented product lead with a proven track record of delivering data-driven solutions for the pharmaceutical industry. Role Responsibilities Project solutioning, including scoping, and estimation. Data sourcing, investigation, and profiling. Prototyping and design thinking. Developing data pipelines & complex data workflows. Actively contribute to project documentation and playbook, including but not limited to physical models, conceptual models, data dictionaries and data cataloging. Accountable for engineering development of both internal and external facing data solutions by conforming to EDSE and Digital technology standards. Partner with internal / external partners to design, build and deliver best in class data products globally to improve the quality of our customer analytics and insights and the growth of commercial in its role in helping patients. Demonstrate outstanding collaboration and operational excellence. Drive best practices and world-class product capabilities. Qualifications Bachelor s degree in a technical area such as computer science, engineering or management information science. 4+ years of combined data warehouse/data lake experience as hands on data engineer. 2+ years in developing data product and data features in servicing analytics and AI use cases Recent Healthcare Life Sciences (pharma preferred) and/or commercial/marketing data experience is highly preferred. Domain knowledge in the pharmaceutical industry preferred. Good knowledge of data governance and data cataloging best practices. Technical Skillset 4+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e. g. Java, C++, etc. . ) in building data pipelines and processes. Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views. 4+ years of hands-on experience delivering data lake/data warehousing projects. Experience in working with cloud native SQL and NoSQL database platforms. Snowflake experience is desirable. Experience in AWS services EC2, EMR, RDS, Spark is preferred. Solid understanding of Scrum/Agile is preferred and w orking knowledge of CI/CD, GitHub MLflow. Familiarity with data privacy standards, governance principles, data protection, pharma industry practices/GDPR compliance is preferred. Great communication skills. Great business influencing and stakeholder management skills. Information & Business Tech #LI-PFE

The India Analytics Center delivers business insights and high-impact analyses to eBays Product and Business teams, addressing strategic and operational questions on user behavior, performance, and efficiency. We are currently looking for an Associate Manager Data Science (Individual Contributor) to join us. This role involves partnering with cross-functional teams to fulfill analytic needs, conducting in-depth analyses of eBays data, and guiding project roadmaps through insightful communication. Youll gain a deep understanding of eBay Marketplaces, enhance your analytic and leadership skills, and interact with various functional teams. The role is data-intensive and requires a strategic mindset, sound business judgment, and strong analytical skills. Ideal candidates will exhibit intellectual curiosity, a collaborative style, and a passion for impactful business results. Critical skills include problem definition, rigorous analysis, and recommendation development, along with exceptional interpersonal skills, initiative, and integrity. Additional requirements include optional travel to eBays US or Europe offices 1-2 times a year and occasional evening meetings with global partners. eBay supports flexible work arrangements to maintain work-life balance. Primary Responsibilities: Conduct independent analyses and become a subject-matter expert on performance metrics to support business initiatives. Provide actionable analytical insights and develop a robust fact base by demonstrating eBays extensive data and collaborating with cross-functional teams. Assess and enhance existing business reports, ensuring data-driven decision-making. Develop guidelines for progress measurement to ensure fair and consistent team recognition. Share insights proactively to foster team learning and development. Report KPIs to leadership and partners, including finance. Required Job Skills: Strong intellectual curiosity, problem-solving skills, and comfort with ambiguity. Passion for serving eBays community and making impactful business decisions. Excellent business judgment, quantitative analysis, and assertive decision-making. Ability to build partnerships across teams and lead analytics initiatives. Proven track record in end-to-end analytics, including problem definition and collaborator influence. Exceptional interpersonal skills, initiative, integrity, and communication abilities. Desired Qualifications: BTech/BE/BS/BA degree (ideally in a quantitative field) with 4+ years of analytics experience MBA degree or equivalent experience in similar field and 2+ years of analytics experience. Must Haves: Strong SQL, Excel, Dashboarding and Power Point Excellent Problem-Solving skills Customer Analytics Good to have Skills: Real-world problem-solving experience in Data Science Experience in building Tableau Dashboards 1-2 years of experience partnering with mid-level or higher executives, demonstrating quantitative and qualitative impact. Real-world problem-solving experience in Data Science and Machine Learning is a plus

Role: Business Analyst - CD Experience: 5+years Location: Bangalore Skills: Experience as a Business Analysis, Requirement gathering, FRDs, BRDs, User stories APIs in market mix, customer analytics, marketing analytics projects.

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIProcess 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. What are we looking for? Data Science Python (Programming Language) Customer Analytics Marketing Analytics and Reporting Structured Query Language (SQL) Commitment to quality Written and verbal communication Agility for quick learning Adaptable and flexible Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualifications Any Graduation

HR/FM/JD/01 Position Title AGM Property Management Department: Commercial Office Division Business Unit: Facilities Management Location: Grade / Level Operational Reporting Functional reporting Detailed Responsibilities Responsibilities To hold Site leadership role and part of the core team of company, take strategic, contingency, and important decisions. The position has the responsibility to handle complete gamut of Property Facility Management for Commercial Office Spaces in the complex & committed towards the Office Clients’ all round satisfaction. Monitoring, designing & establishment of process for the Commercial Offices PM-FM Operations Will be responsible for service delivery to all the clients ensuring smooth running in the premises. Responsible for all Facility Management related activities such as upkeep and maintenance of buildings and infrastructure in co-ordination with outsourced teams. Synching with City / Complex / HO PML SME for any kind of guidance, troubleshooting & clarity on governance checks Regularly inspect Client spaces, public, mechanical, and ground areas to ensure property maintenance and cleanliness. Responsible for operation of all deliverables to the tenants/clients, including - M&E Services (Power, Water, AC, Lifts, FPS, STP), cleaning & hygiene mgmt, Waste Management, Pest control, Gardening, Physical Security, Traffic & parking management, Food Court Management, AMC management Shall be responsible for attending & addressing to all emergency breakdowns in his buildings, as per contingency plans. Will be responsible for all safety and security compliance in the building. Maintenance of Fire Fighting systems, DG Sets, HVAC, Pumps and electrical systems like cables & transformers. Ensuring uptime for all major equipment Provide technical assistance and advice on building operations systems including HVAC, electrical, energy management, plumbing, roofs, fire safety, environmental issues, security, and controls Keep track of completion of all helpdesk service requests from clients; all complaints to be closed with corrective actions to prevent recurrence of the client complaint. Responsible for the physical management of the property, including regular maintenance and emergency repairs. To include/engage contractors to get the job done. Shall be responsible for planning and getting implemented all preventive maintenance activities through outsourced team, with least disruption to business and client service. Shall be responsible for planning end of life replacement of equipment’s in consultation with Technical SME. Ensure to keep thorough records regarding the property. This should include all expenses per budgets; list of all inspections, maintenance requests, any complaints, records of repairs, costs of repairs, maintenance costs. Vendor Management and AMC negotiations. Responsible for the purchase and contracts. Liaison with local and Government bodies, authorities. To prepare, monitor & regular updates on checklist of regulatory compliance. Coach and develop the team at property level- directly and indirectly reporting at the property. Impart training to Core Roles in Facility & Work closely with other PML Teams & SME's for the same. Provide advice on health, safety and well being issues. Ensure Safety standards are maintained as per the organizational safety policy. Responsible for the enforcement of health and safety legislation. To impart to all employees the understanding that the violation of standard safe working practices is as serious as the violation of any other company rule and shall take corrective action when safety rules are ignored and set a good safety example himself. To make it possible for each employee under control to take part in the safety programme by personal contact and group discussions. To discuss on the results of accident investigation and suggestions for preventing recurrence. Assisting in the investigation of accidents. Provide a workplace that is free from serious safety and health hazards • Providing leadership in developing measures and practices that prevent accidents and ensure compliance with Safety standards. Monitor the workplace to ensure employees follow safety in work. Ensure that the workplace is monitored and is fully in compliance with all applicable Safety standards, rules and regulations in order to maintain safety in facilities. Ensure that Safety Standard Operating Procedures (SOPs) are maintained, and communicated to all concerned and all levels of employees. Participating in workplace safety and health planning meetings. Identifying hazardous situations that are associated with the accident. Ensuring implementation & monitoring of Quality Management Systems’ requirements into the organization’s processes. Take review of Quality and OHS Management system objectives and its progress Short falls in service identified by SMEs, documenting the same and highlighting to outsourced team manager with corrective actions to ensure non repeat of the short falls. To focus on using best business practice to improve efficiency, by reducing operating costs while increasing productivity. Planning for future development in line with strategic business objectives; managing and leading change to ensure minimum disruption to core activities. Shall lead the response to any emergency in co-ordination with the outsourced team as per the Emergency Response Plan, during normal duty hours. Shall ensure risk assessment is conducted of all activities in consultation with on ground staff and adequate control measures are planned and implemented on site. Getting internal audit done through the vendor audit team. Responsible for Annual Expense Budget Vs Actual analysis. Preparation of Annual CAM Budget and manage as per the approved. Efficient governance of assigned operational budget & keeping the expenses under tolerance Monthly review of the budget, ensuring MIS preparation and timely submission Supporting in CAM and Rent collection. Ensure service delivery by outsourced team as per SLAs. Making sure that SLA, MIS & MMR are scheduled as per defined frequency Assist Clients, prospective Clients, and the building owners in space planning and estimating costs while maintaining established building standards Create work practices and systems at complex level for high client satisfaction – conscious about Lease Agreements & Renewals. Demonstrate High Level of Client Engagement & Establish excellent working relationship with Clients Implementation of defined process, scheduling meeting, keeping a track of action points & closure of the same Handling Move in and Move Outs- responsible for inspecting the unit, checking for damages. Responsible for Asset verification, repairing damages if any. Educational Qualification Requirements Essential (The Basic Qualification required for this position to perform effectively) Qualification & Specialization (if any) Basic qualification Degree or BE in - Electrical, Mechanical, Electronics, or any other relevant Engineering or Degree in Administration with essential experience. Persons with additional qualification in safety, fire, ISO certifications, finance. BBA/MBA will be preferred. Having PG or Masters qualification will be an advantage. Good verbal and written communication skills with fluency in English, Hindi & local vernacular languages are MUST. He/She must be smart & have passion for Client Handling, interacting with multiple stakeholders and managing large teams. Good Presentation skills. Experience in budgeting. Work Experience Requirements Essential (The Minimum and Maximum Experience required for this position to perform effectively) Additional (Any special work experience - in a particular position / department / industry - required for this position to perform effectively) Experience (in years) 14 to 17 years of experience in Facilities / Property Management. Prefer to have 4-5 years’ experience with hospitality industry, with experience of handling, soft service, technical and security. Preferably worked in : Industries Facilities / Property Management, hospitality industry, with experience of handling, soft service, technical and security. Experience of working in a campus operations and/or handling multi building/location operations will be an added advantage Organizational Interfaces Internal Interface (Departments / Designations, this position needs to interface within the organization to accomplish its task effectively) External Interface (Public Departments / External Agencies, this position needs to interface outside the organization to accomplish its task effectively) 1. Employees, Internal Auditor, HODs 1. Client, different Govt. Depts., External Auditor, Certification Agencies, Vendor Knowledge & Skills Required (Functional / Technical &Behavioural ) (Functional / technical / behavioral competencies which are required for this role to be effective) Sl.No. Functional / Technical Skills required for this position Sl.No . Behavioural Skills required for this position 1. Client Management Skills, Preventive maintenance skills, Good Communication Skills, Manpower Handling Skills,Knowledge of Safety Standard & Compliance. 1. Adaptability, Accountability, Initiative, Customer Focus, CommunicationLeading and Managing Change, Professional Entrepreneurs, Strategic ThinkingDeveloping Subordinates, Problem Solving, Driving Excellence

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc. , Financial Times, Economic Times and Analytics India Magazine. About the role: Tiger s growing Banking Financial Services vertical seeks self-motivated AI Risk Policy and Governance Leader with strong program management and client stakeholder management experience with domain expertise in the Banking and Financial Services space and strong analytical skills for a challenging role in the Banking & Financial Services Analytics area. Responsibilities for this job include working with various clients to design, develop, and implement AI Risk Policy and Governance Frameworks and Policies in Large BFS organizations. Skillsets needed are a mix of hands-on domain context in BFS AI Risk and Policy areas along with team leading and stakeholder management experience. The role comes with managerial responsibility to set and review tasks, perform QC, and to supervise mentor and coach analysts, align with client stakeholders and ensure strong project management practices. Technical capabilities including MS Office Suite, Strong Program and Project Management skillset with Visualization platform experience as a preference (Power BI/Tableau) As part of larger Financial Services practice, you may get to work on a broad range of business-critical problems across various work streams across the BFS value chain. You will be engaging with clients and client partners to understand their business context, and work with a team of analysts Location: Delhi-NCR/BLR/HYD/Chennai Experience: 8+ Years Job Responsibilities 1) Working with various clients across large BFS institutions to design, develop, and implement AI Risk Policy and Governance Frameworks and Policies in Large BFS organizations 2) Conduct detailed analytical work with a high level of accuracy to deliver high level results to senior management Required Qualifications, Capabilities and Skills 1) Degree in Accounting, Commerce, Economics, Engineering, Statistics / Mathematics, or Risk Mandatory 2) Exposure to large BFS institutions in AI Risk and Policy/Governance work (risk inventory, AI risk, and governance standards) 3) Ability to develop, document, and refine risk policies and procedures 4) Strong writing skills to translate complex risk concepts into clear, structured documentation 5) Ability to lead junior team members and guide deliverables 6) Direct client stakeholder management exposure 7) Strong communication skills 8) Exposure to the BFS Domain in at least anyone of Credit Risk & Strategy/ Fraud Risk & Strategy/Marketing Analytics/Customer Analytics Desired Experience 1) 8+ years of Work Experience in the mentioned domain in any product (Banking and Financial Services Industry - Global) or Consulting organization in this space Desirable Skills 1) Work experience across North American Region/Market 4) Exposure to Cards Business Division of any Large BFS institution 5) Exposure to any Data visualization Tool (Power BI, Tableau)