44 Statistics Jobs in Navi Mumbai

This is a remote position. Summary Were looking for a talented Marketing Executive who can undertake marketing projects for the benefit of our company. The candidate must be able to organize creative campaigns and promotional events that add to our companys brand value. Ideally, the candidate must have passion for the art of marketing, have an abundance of ideas for building efficient strategies and must bring forth a strong arsenal of techniques/methods to promote our products, services and public image. The goal is to reach out to the market and cultivate the customers interest in our products and services in ways that strengthen our reputation and facilitate our exponential growth. Responsibilities Conceive and develop efficient and intuitive marketing strategies. Organize and oversee advertising/communication campaigns (social media, TV etc. ), exhibitions and promotional events. Conduct market research and analysis to evaluate trends, brand awareness and competition ventures. Initiate and control surveys to assess customer requirements and dedication. Write copy for diverse marketing distributions (brochures, press releases, website material etc. ). Maintain relationships with media vendors and publishers to ensure collaboration in promotional activities. Monitor progress of campaigns using various metrics and submit reports of performance. Collaborate with managers in preparing budgets and monitoring expenses. Requirements Requirements Proven experience as a marketing executive or any other similar role. Good understanding of market research techniques, data analysis and statistics methods. Thorough knowledge of strategic planning principles and marketing best practices. Proficient in MS Office and marketing software (e.g. CRM). Familiarity with social media and web analytics (e.g. WebTrends). Excellent communication and people skills. Strong organizational and time-management abilities. Creativity and commercial awareness. B.Sc/BA in marketing, business administration or any other relevant disciplines.

This is a remote position. Summary Were looking for a talented Marketing Executive who can undertake marketing projects for the benefit of our company. The candidate must be able to organize creative campaigns and promotional events that add to our companys brand value. Ideally, the candidate must have passion for the art of marketing, have an abundance of ideas for building efficient strategies and must bring forth a strong arsenal of techniques/methods to promote our products, services and public image. The goal is to reach out to the market and cultivate the customers interest in our products and services in ways that strengthen our reputation and facilitate our exponential growth. Responsibilities Conceive and develop efficient and intuitive marketing strategies. Organize and oversee advertising/communication campaigns (social media, TV etc. ), exhibitions and promotional events. Conduct market research and analysis to evaluate trends, brand awareness and competition ventures. Initiate and control surveys to assess customer requirements and dedication. Write copy for diverse marketing distributions (brochures, press releases, website material etc. ). Maintain relationships with media vendors and publishers to ensure collaboration in promotional activities. Monitor progress of campaigns using various metrics and submit reports of performance. Collaborate with managers in preparing budgets and monitoring expenses. Requirements Requirements Proven experience as a marketing executive or any other similar role. Good understanding of market research techniques, data analysis and statistics methods. Thorough knowledge of strategic planning principles and marketing best practices. Proficient in MS Office and marketing software (e.g. CRM). Familiarity with social media and web analytics (e.g. WebTrends). Excellent communication and people skills. Strong organizational and time-management abilities. Creativity and commercial awareness. B.Sc/BA in marketing, business administration or any other relevant disciplines.

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

We are currently hiring for a Decision Analytics Marketing Analytics position and would like to check your interest for this opportunity.Please find the role details belowRole Decision Analytics Marketing Analytics Experience 8 + Years Location: Bangalore /Pune /Mumbai /Noida /Gurugram /Chennai Must Have Skills 8 plus years of experience applying analytics to solve complex marketing challenges Strong SQL and Python for data manipulation analysis and insight generation Hands on experience with marketing tech tools including Google Analytics GA4 Adobe Analytics Salesforce Marketing Cloud Marketo or equivalent Ability to identify patterns solve complex problems and extract insights from structured and unstructured data Strong communication storytelling and influencing skills to translate complex data into clear insights that support decision making Experience in campaign performance optimization including MMM and MTA Strong cross functional collaboration with Marketing leaders and Marketing Science teamsGood to Have Degree in computer science statistics mathematics or physical sciences Experience with data governance reporting ROI analysis Experience in fast paced global organizations Knowledge of Tableau for dashboards and automated reporting Experience working with marketing data in the travel domain Strong operational improvement mindsetIf this opportunity interests you please reply with your updated resume and the following details Total Experience Relevant Experience Current CTC Expected CTC Notice Period Preferred LocationLooking forward to your response. Thanks and regards Capgemini HR Team

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

We are currently hiring for a Decision Analytics Product Analytics role for one of our key clients. Please find the details below: Role: Decision Analytics Product Analytics Experience: 8+ YearsLocation: Bangalore, Pune, Mumbai, Noida, Gurugram, and Chennai Must-Have Skills: 8+ years of experience applying analytics to solve complex product-related challenges.Strong SQL and Python skills for data manipulation, analysis, and insight generation.Hands-on experience with Web Analytics tools and tagging (Exposure to Adobe Analytics/Adobe Experience Platform preferred).Strong analytical capability to identify patterns, solve complex problems, and extract insights from structured & unstructured data.Expertise in A/B testing, including hypothesis setup, execution, and advanced analysis of user behaviour impact.Excellent communication and storytelling skills ability to translate complex datasets into clear, actionable insights that shape product strategy.Proven experience collaborating with product managers, UX researchers, engineers, and cross-functional teams. Good-to-Have: Degree in Computer Science, Statistics, Mathematics, or related fields.Experience in data governance, reporting requirements, ROI analysis.Experience in global or fast-paced environments.Expertise with Tableau for dashboards and automated reporting.Experience working with product data in the travel domain.Strong operational improvement mindset. If you are interested in this opportunity, please apply. Thanks & Regards,Capgemini HR Team

Urgent Opening Data Science Trainer (Thane Location) Job Title: Data Science Trainer Location: Thane Employment Type: Full-Time (Immediate Joiner) Salary: Up to 30,000 per month About the Role: We are looking for a knowledgeable and passionate Data Science Trainer to join our institute and deliver high-quality training sessions. The ideal candidate should have strong technical expertise, good communication skills, and the ability to explain complex concepts in a simple and engaging manner. Key Responsibilities: Conduct classroom and online training sessions for students on Data Science, Python, Machine Learning, and related tools. Design, update, and deliver training content as per industry standards. Guide students through hands-on projects and practical exercises. Prepare assessments, assignments, and evaluate student performance. Stay updated with the latest trends and tools in Data Science and AI. Support students in developing their portfolios and interview preparation. Requirements: Bachelors / Masters Degree in Computer Science, Data Science, Statistics, or related field. Proven experience in Data Science / Machine Learning / Python programming. Strong knowledge of Pandas, NumPy, Scikit-learn, Matplotlib, SQL, etc. Excellent communication and presentation skills. Passion for teaching and mentoring students. Immediate joiner preferred.     

Leading Executive   and recruitment  firm  requires  Recruitment specialist- Domestic hiring  (IT &  Non IT)- WFH ( Six days week, complete work form home role) We are looking for  Recruitment specialist (IT and  Non IT) - Domestic hiring to cater to PAN india clients  across functions and industries i.e Manufacturing/ FMCG/ Consumer durables / Engineering/ Pharma/ Healthcare/Oil n gas/ E commerce/ IT/Software/ Hospitality/Travel / Agro/ etc PFB the details 1) Client - Leading Executive search Firm 2) Position- Recruitment specialist - IT & NON IT- Dometsic or india market only 3) Experience - Over 2   years in Recruitment/ Talent acquisition across sectors & industries in india market  4) Compensation- Competitive 5) Sud be opne to 6b days week 6) Shift timings-  9.30 am- 6.30-Monday to saturday  7) Should have a proven track record of end  dot end recruitment as this is a very serious job though it Work from home but requires sharing  atleast 6 relevant profiles for either IT or Non IT roles Only genuine and serious/ sincere may apply KEY Attributes - Experience working with Internet recruiting methods /technologies to include developing and posting of requisitions and tracking interview/hiring statistics -Over  2 - 7  years experience in recruiting include sourcing candidates, interviewing and negotiation primarily in the Non IT domain - Should be able to work under pressure and target driven positions - In-depth knowledge/familiarity with web-based job boards, research and applicant tracking systems -Sud have experience working on portals like Linkedin, Monster, indeed , & other recruitment platforms - Ability to handle a high-volume of openings while maintaining flexibility, professionalism and adhering to relevant policies and procedures - Strong interpersonal, telephonic and e-communication skills - Ability to organize and prioritize multiple work assignments, work with little . -supervision and work well under pressure - Problem solving skills and sound judgment - Experience with high volume recruiting a must! Quick turnaround with quality candidates is key to success for this client. - Ability to handle sensitive and confidential information and work independently with a sense of urgency - All viable candidates will be screened to client's hiring requirements. JOB EXPERIENCE REQUIREMENT: -Over 2 years experience in recruiting include sourcing candidates, Shortlisting interviewing and negotiation TILL JOINING If the position interests you and you find a fitment kindly share your cv at career@megmaservices.co.in or contact Abhinav- 7011354635 Kindly share - current/last ctc - Relevant Experience in end to end recruitment. - Current location - Relevant experience in Non IT hiring -Relevant experience in IT hiring - Joining target/month -Industry worked for  -Open to work 6 days/week  

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. ResponsibilitiesIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teams Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in statistics, applied mathematics, or related disciplineWork Department-Data ScientistWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proficiency with data mining, mathematics, and statistical analysisfor more clarification contact to this number-7428595632 Also Share Your CV -renuka.mns53@gmail.com RegardsHR Placement Team

As a Lead Data Scientist at Mastercard's Finicity, you will have the opportunity to lead, mentor, and grow the data science team while focusing on developing production-grade services and capabilities. You will be responsible for planning and directing data science/machine learning projects, designing and implementing machine learning models for various financial applications, and continuously measuring, validating, monitoring, and improving the performance of machine learning models. Additionally, you will be expected to propose creative solutions to new challenges, present technical problems and findings to stakeholders effectively, leverage best practices in machine learning and data engineering, and identify areas for improvement within the team. - Lead, mentor, and grow the data science team and tech stack - Plan and direct data science/machine learning projects - Design and implement machine learning models for financial applications - Measure, validate, monitor, and improve performance of machine learning models - Propose creative solutions to new challenges - Present technical problems and findings to stakeholders - Leverage best practices in machine learning and data engineering - Identify areas for improvement within the team - Be a strong communicator and able to effectively convey your vision and roadmap - 8+ years of experience in data science/machine learning model development and deployments - Exposure to financial transactional structured and unstructured data is a plus - Strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods - Experience with SQL/Database, Kubernetes, Containers, Docker, REST APIs, Event Streams, etc. - Familiarity with technologies such as Tensorflow, Python, Sklearn, Pandas, etc. - Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics (M.S preferred),

Role Overview: As a Senior Machine Learning Engineer at PitchBook, your role involves utilizing machine learning, statistical modeling, and natural language processing (NLP) to gather a large volume of data for the PitchBook Platform and uncover insights for the capital markets. You will also play a vital role as a mentor for junior team members, shaping the long-term direction of the team with your strong motivation to succeed. Key Responsibilities: - Applying NLP and Machine Learning techniques to analyze and extract features from vast amounts of unstructured data, identifying relevant features, and leveraging suitable algorithms to gain insights. - Extracting insights from textual data like articles and conversations to recognize unique signals of company performance, aiding in market trend prediction. - Collaborating efficiently with Data Scientists, Product, and Engineering teams to automate processes for large-scale data, enhancing data management and analysis. - Staying informed about industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership. - Supporting the company's vision by embracing its values and cultivating a positive work culture. - Participating in company initiatives to contribute to overall success. Qualifications Required: - Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field. - 5+ years of experience applying machine learning, statistical modeling, and NLP in a production environment. - Demonstrated expertise in natural language processing. - Extensive experience with Python and OOP Framework. - Proficiency in using SQL for data extraction. - Strong communication and data presentation skills. - Strong problem-solving abilities. - Ability to work autonomously and provide solutions to your own problems as well as those of others. - Capability to communicate complex analysis clearly, precisely, and in an actionable manner. - Experience collaborating closely with software development teams is a plus. - Knowledge in financial services, investment, banking, VC, and/or PE is preferred but not mandatory.,

As a member of the SitusAMC team, you will be responsible for collaborating with senior stakeholders to understand requirements, define data needs, support the FP&A team with analysis, and act as a solution validator for the data science team. Additionally, you will work on business intelligence tasks, maintain communication with tactical teams, and identify opportunities for sustainable analytical solutions. Key Responsibilities: - Collaborate with senior stakeholders to understand requirements for ad-hoc requests and analytics projects - Define data requirements for analysis and conduct data exploration to define problems - Support FP&A team with ad-hoc analysis during time-sensitive projects - Translate business requirements to data science/engineering colleagues and validate the solutions - Act as a business intelligence analyst for dashboard creation - Utilize Excel, PowerBI, and SQL for data exploration and interface with tactical teams for data retrieval - Stay informed about macro and micro economic factors affecting business performance - Identify opportunities to build sustainable analytical solutions within the finance domain - Perform other assigned activities by your manager Qualifications Required: - Bachelor's degree in a related field or equivalent education and experience - 5+ years of industry experience with at least 1 year in an Associate level role - Experience in FPA or Finance Analytics is preferred - Familiarity with global organizations, finance terminology, FP&A functions, and working with stakeholders on data-related issues - Strong written and oral communication skills for collaborating with US-based stakeholders - Advanced Excel skills and an interest in data science/statistics - Self-starter with a creative approach to solving problems - Comfortable working with data science and engineering colleagues to translate domain knowledge into solution requirements (Note: The specific compensation details for this role will be determined based on interviews, education, experience, skills, and market data alignment. Eligible positions may receive a discretionary bonus approved by SitusAMC Senior Management. SitusAMC also offers a comprehensive and competitive benefits plan.),

You will be responsible for the following key tasks: - Collect, clean, and analyze data from various sources - Build and maintain dashboards and reports using tools like Excel, SQL, or Power BI/Tableau - Support in A/B testing, API automations, analysis, and performance tracking - Collaborate with service, product, marketing, and operations teams to gather data needs - Present findings in a clear and concise manner for both technical and non-technical stakeholders Qualifications required for this role include: - Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science or a related field - Strong analytical and problem-solving skills - Proficiency in Excel, Python/R or Basic SQL - Familiarity with data visualization tools (e.g. Tableau, Power BI, or Google Data Studio) - Excellent communication skills - Eagerness to learn and contribute in a fast-paced environment No additional details about the company were provided in the job description.,

As a Full Stack Developer in our company, your role involves working closely with development teams and product managers to brainstorm and create software solutions. You will be responsible for designing both client-side and server-side architecture, building visually appealing front-end applications, and managing databases efficiently. Your duties will also include writing effective APIs, testing software for responsiveness and efficiency, and troubleshooting and upgrading software as needed. Furthermore, you will be required to create security and data protection settings, develop mobile responsive features and applications, and write technical documentation. Key Responsibilities: - Work with development teams and product managers to ideate software solutions - Design client-side and server-side architecture - Build the front-end of applications through appealing visual design - Develop and manage well-functioning databases and applications - Write effective APIs - Test software to ensure responsiveness and efficiency - Troubleshoot, debug and upgrade software - Create security and data protection settings - Build features and applications with a mobile responsive design - Write technical documentation Qualifications Required: - Proven experience as a Full Stack Developer or similar role - Experience developing desktop and mobile applications - Familiarity with common stacks - Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) - Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) - Familiarity with databases (e.g. MySQL, MongoDB, SQL Server), web servers (e.g. Apache), and UI/UX design - Excellent communication and teamwork skills - Great attention to detail - Organizational skills - An analytical mind - Degree in Computer Science, Statistics, or a relevant field,

You will be working as a Sport Operations Project Executive, responsible for overseeing the analysis of brand presence within sports broadcast footage using bespoke software provided after comprehensive training. Your role will involve managing projects from setup through to reporting, playing a crucial role in the media evaluation process. Key Responsibilities: - Analyse brand exposure in sports broadcasts using bespoke software - Execute end-to-end project tasks including accurate project setup, rigorous quality control of output, clear and accurate reporting, and interpreting statistics within exposure monitoring reports - Support senior executives working on complex media evaluation projects - Respond to data-related queries from media analysts - Use Microsoft Excel for data processing, including VLOOKUPs and Pivot Tables - Provide guidance to media auditors reviewing project outputs - Identify and resolve basic data-related issues - Communicate effectively with global colleagues including team leads, analysts, and auditors - Manage multiple projects simultaneously through effective time management - Contribute to a collaborative team environment while also working independently What We're Looking For: - Proficiency in Microsoft Excel, particularly with VLOOKUPs and Pivot Tables - Excellent communication skills and a collaborative mindset - Ability to manage workloads across multiple projects - A good understanding of various global sports and competition formats - A proactive and inquisitive approach eager to understand the "why" behind the work - Strong attention to detail and a commitment to accuracy - Previous experience supporting teams or working in data analysis/media monitoring is a plus About the Company: YouGov is a global online research company with a panel of over 27 million registered members worldwide. They are known for their accurate data and are trusted by major brands. YouGov's social mission is to make millions of people's opinions heard for the benefit of local, national, and international communities. The company values diversity and inclusion, striving to represent different perspectives in their research. Company Culture: At YouGov, they are driven by shared values of being fast, fearless, and innovative. They prioritize accuracy, ethics, and proven methodologies in their work. The company respects and trusts its employees and aims to provide best-in-class benefits to support physical, financial, and emotional wellbeing. YouGov fosters a supportive workplace where employees can bring their unique perspectives and be their authentic selves. Equal Opportunity Employer: YouGov is an Equal Opportunity Employer, committed to diversity and inclusion in the workplace. Data Privacy: For information on how YouGov collects and uses personal data during the job application process, please refer to their privacy notice at https://jobs.yougov.com/privacy. You will be working as a Sport Operations Project Executive, responsible for overseeing the analysis of brand presence within sports broadcast footage using bespoke software provided after comprehensive training. Your role will involve managing projects from setup through to reporting, playing a crucial role in the media evaluation process. Key Responsibilities: - Analyse brand exposure in sports broadcasts using bespoke software - Execute end-to-end project tasks including accurate project setup, rigorous quality control of output, clear and accurate reporting, and interpreting statistics within exposure monitoring reports - Support senior executives working on complex media evaluation projects - Respond to data-related queries from media analysts - Use Microsoft Excel for data processing, including VLOOKUPs and Pivot Tables - Provide guidance to media auditors reviewing project outputs - Identify and resolve basic data-related issues - Communicate effectively with global colleagues including team leads, analysts, and auditors - Manage multiple projects simultaneously through effective time management - Contribute to a collaborative team environment while also working independently What We're Looking For: - Proficiency in Microsoft Excel, particularly with VLOOKUPs and Pivot Tables - Excellent communication skills and a collaborative mindset - Ability to manage workloads across multiple projects - A good understanding of various global sports and competition formats - A proactive and inquisitive approach eager to understand the "why" behind the work - Strong attention to detail and a commitment to accuracy - Previous experience supporting teams or working in data analysis/media monitoring is a plus About the Company: YouGov is a global online research company with a panel of over 27 million registered members worldwide. They are known for their accurate data and are trusted by major brands. YouGov's social mission is to make millions of people's opinions heard for the benefit of local, national, and international communities. The c

As a SAP Archiving & Information Lifecycle Management (ILM) Specialist at Wartsila India Pvt. Ltd., your main responsibility will be to support and optimize SAP data archiving processes. You will focus on leveraging SAP ILM to ensure data compliance, reduce data footprint, and enhance system performance. Your crucial role will involve maintaining data integrity, accessibility, and adherence to legal and business retention policies. - Perform regular archiving runs for various SAP objects such as FI_DOCUMNT, RV_LIKP, SD_VBAK, MM_EKKO, MM_MATBEL, FI_SL_DATA. - Monitor archiving job status and performance, analyze logs and statistics for successful completion. - Troubleshoot and resolve issues related to archiving processes, including error analysis and root cause identification. - Manage archive file deletion runs and ensure successful deletion. - Maintain and optimize archive jobs and variants. - Configure and maintain SAP ILM policies and rules for data retention and destruction based on legal and business requirements. - Implement and manage legal holds within SAP ILM to prevent premature data deletion for legal cases. - Support the decommissioning of legacy systems using SAP ILM's Retention Warehouse functionalities. - Collaborate with business stakeholders to define and refine data retention periods and compliance policies. - Utilize SAP ILM functionalities for blocking and deleting personal data to ensure data privacy. - Have hands-on experience in 3rd party archiving solutions like Easy Archive Server, OpenText Archive Center, PBS, etc. - Analyze data volumes and trends to identify archiving opportunities and proactively manage database growth. - Generate reports on archiving statistics, data volumes, and ILM compliance. - Maintain comprehensive documentation for archiving configurations, ILM policies, and operational procedures. - Collaborate with functional teams, Basis, and other IT stakeholders to ensure seamless integration of archiving and ILM processes. - Provide support for retrieving archived data as per business requests. - Participate in testing activities (FUT, SIT, UAT) related to archiving and ILM implementations. Qualifications: - Bachelor's degree in engineering, Information Technology, Computer Science, or a related field. - Minimum 3 years of experience in SAP archiving, with a strong understanding of various SAP archiving objects. - Proven experience with SAP Information Lifecycle Management (ILM), including configuration of retention policies, legal holds, and data destruction. - Understanding of data privacy regulations such as GDPR and their implications for data management. - Experience with SAP ECC/S4HANA and underlying database technologies. - Ability to analyze complex issues and provide effective solutions. - Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and business teams. - Detail-oriented with strong organizational and documentation skills.,

A Data Analyst looks at the organisations raw data and finds ways to make it easier for others to understand, see trends or predict what might happen in the future. Data Analysts help businesses turn extensive, unorganised collections of information into something useful. ResponsibilitiesCreating an information architecture for a data set and ensuring it is easily accessible and understandable to everyone Making recommendations on how the organisation can best use the data they have collected to their advantage or making suggestions as to what new data they should collect Looking at how businesses in similar industries are using their data analysis tools Tying together previously unrelated sets of information so that they are easier to analyse Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.Master's degree preferred.Work Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills- Knowledge of machine learning and data mining techniques is desirable.for more clarification contact to this number-9582842854 Also Share Your CV -harsheeta.hs1987@gmail.com RegardsHR Placement Team

We are looking for an experienced Customer Service Manager to provide excellent customer service and to promote this idea throughout the organisation. The goal is to keep the department running in an efficient and profitable manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. Responsibilities Improve customer service experience, create engaged customers and facilitate organic growth Take ownership of customers issues and follow problems through to resolution Set a clear mission and deploy strategies focused towards that mission Develop service procedures, policies and standards Keep accurate records and document customer service actions and discussions Analyse statistics and compile accurate reports Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment Keep ahead of industrys developments and apply best practices to areas of improvement Control resources and utilise assets to achieve qualitative and quantitative targets Adhere to and manage the approved budget Maintain an orderly workflow according to priorities

were proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, were able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, were searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth. ResponsibilitiesWork closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makersProactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivityCreate and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sourcesDefine and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solutionDevelop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in mathematics, computer science, economics, or statisticsWork Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proven analytics skills, including mining, evaluation, and visualizationfor more clarification contact to this number-9355884396 Also Share Your CV -shah.priyanka7840@gmail.com RegardsHR Placement Team

We are on the hunt for an experienced healthcare analyst to join our qualified team. As the healthcare analyst, your chief responsibility will be to research and evaluate healthcare information from different sources to identify trends and business insights. In addition to being an excellent written and verbal communicator, the ideal candidate will be resourceful and highly-analytical. To succeed in this role, you should also have a solid understanding of data management systems, health care procedures, and analysis tools. Responsibilities: Develop and implement effective record-keeping procedures. Prepare accurate reports on the latest trends in customer service, billing, and cost evaluation. Research and evaluate data from different sources to identify discrepancies and patterns. Present and explain status reports to management. Recommend ways to improve healthcare quality and minimize costs. Work with management and other internal departments to implement and assess developments. Perform regular site visits to evaluate operations and costs of health care platforms. Prepare and organize policy guidelines, public hearing testimonies, presentations, and petitions.