35 Statistics Jobs in Kochi

As an experienced Game Economy Designer at Ruby Seven Studios, your main responsibility will be to craft engaging and enriching social casino gaming experiences for players worldwide. You will design and manage the in-game economies to ensure an optimal balance between player experience and monetization. Key Responsibilities: - Design and develop compelling economy models for games - Create and balance in-app currencies, progression curves, reward structures, and monetization systems - Utilize data modeling and player segmentation to forecast behavioral trends and evaluate the impact of new features - Continuously iterate on game economy design based on KPI analysis to enhance player satisfaction and performance - Plan and design economy-driven live events and promotions such as sales, challenges, and time-limited events - Conduct and analyze A/B tests for pricing strategies, rewards, and progression tuning to optimize key KPIs related to monetization, engagement, and retention - Prepare detailed economy specifications, balancing sheets, and documentation for cross-functional teams and collaborate in their implementation - Design systems to prevent exploits, control inflation, and maintain long-term economic stability - Ensure consistent economic balance and fairness across platforms Qualifications Required: - 8+ years of experience in game economy design, preferably in Social Casino games - Deep understanding of free-to-play economy design, monetization strategies, and player psychology - Proficiency in MS Excel, Google Sheets, or other statistical tools for analytical modeling - Experience working closely with developers, product managers, and analysts - Strong communication skills - Passion for gaming and a good understanding of the gaming industry - Masters degree in Math, Statistics, Economics, or Engineering In addition to the job responsibilities and qualifications, Ruby Seven Studios offers benefits including health insurance, paid sick time, paid time off, and a provident fund. The job type is full-time with a morning shift schedule and a performance bonus structure. Experience required for the position of Game Economy Designer is a minimum of 5 years.,

Role Overview: You have an opportunity to join the Global Talent Delivery Team at EY as a Global Talent Intelligence Senior Analyst. In this role, you will be responsible for ensuring alignment of talent solutions, processes, and data, enabling continuous improvement through digital enablement and delivering management information and predictive talent insights. You will be part of the Talent Insights and Analytics Team (TIA) and will work towards providing global, reliable, and integrated talent data solutions to help leaders make smarter, data-driven talent decisions. Key Responsibilities: - Understand and transform data from external vendors to ensure accuracy and relevance. - Assess the effectiveness of data sources and data-gathering techniques for continuous improvement of Talent Intelligence analytics suite. - Utilize programming languages such as R or Python for data analysis and interpretation. - Effectively leverage SQL to manipulate Talent Intelligence data. - Create and maintain PowerBI dashboards for visualizing data and communicating insights. - Conduct applied talent research using internal and external data to build insights and recommendations. - Collaborate with the team to understand business needs and provide tailored Talent Intelligence solutions. - Assist in the development and delivery of Talent Intelligence products, reports, and presentations. - Monitor best practices and feedback to propose opportunities for enhancement of existing practices. Qualifications Required: - Bachelor's degree in Data Science, Statistics, Behavioral Science, Psychology, or related field. - Deep subject matter expertise in data engineering, visualization, and related domains. - Proficiency in programming languages such as R, statistical software like SPSS, and data visualization tools like PowerBI. - Foundational understanding of behavioral science principles and their application to Talent Intelligence. - Strong analytical, problem-solving, communication, and presentation skills. - Ability to work collaboratively in a team environment and manage multiple projects simultaneously. - Proactive mindset with a passion for leveraging data to drive strategic decisions.,

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. Counting on your unique voice and perspective to help EY become even better, you can join and build an exceptional experience for yourself and contribute to a better working world. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products with a focus on lending solutions. - Design and implement data-enabled vendor risk assessment frameworks. - Apply AI models for continuous monitoring of supplier, outsourcing, and operational risks. - Ensure compliance with global and regional regulatory requirements on third-party engagements. - Monitor project progress, manage risks, and effectively communicate status, issues, and priorities to key stakeholders for successful outcomes. - Actively mentor and support the development of junior consultants within the organization. - Review, analyze, and validate the work completed by junior team members to ensure accuracy and quality. Qualifications Required: - Graduate or Masters degree in a technical or quantitative discipline such as Engineering, Mathematics, Statistics, Physics, or equivalent with a minimum of 3 years of relevant experience. - Solid foundation in statistics and econometrics and third-party risk frameworks. - AI & machine learning applications in risk management (predictive modeling, anomaly detection, natural language processing). - Advanced technical skills, with proficiency in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills, with the ability to quickly grasp complex concepts and present them clearly in documents or presentations. - Strong multi-tasking skills with demonstrated ability to manage expectations and deliver high-quality results under tight deadlines and minimal supervision.,

Job Description: As a Game Mathematician based in Kochi, your role will involve designing and calibrating mathematical models, analyzing game mechanics, and implementing statistical methods to ensure a balanced gaming experience. You will work closely with game designers and developers to develop algorithms, validate game functionality, and enhance player engagement. Key Responsibilities: - Design and calibrate mathematical models for games - Analyze game mechanics to improve gameplay experience - Implement statistical methods to ensure game balance - Collaborate with game designers and developers to develop algorithms - Validate game functionality and enhance player engagement Qualifications Required: - Strong proficiency in Mathematics and Applied Mathematics - Background in Physics and Analytical Skills - Knowledge of Computer Science with a focus on programming and algorithms - Problem-solving skills and the ability to interpret data effectively - Experience with statistics, probability theory, and game calculations - Bachelors or Masters degree in Mathematics, Physics, Computer Science, or a related field - Experience in game design or a similar industry is a plus Job Description: As a Game Mathematician based in Kochi, your role will involve designing and calibrating mathematical models, analyzing game mechanics, and implementing statistical methods to ensure a balanced gaming experience. You will work closely with game designers and developers to develop algorithms, validate game functionality, and enhance player engagement. Key Responsibilities: - Design and calibrate mathematical models for games - Analyze game mechanics to improve gameplay experience - Implement statistical methods to ensure game balance - Collaborate with game designers and developers to develop algorithms - Validate game functionality and enhance player engagement Qualifications Required: - Strong proficiency in Mathematics and Applied Mathematics - Background in Physics and Analytical Skills - Knowledge of Computer Science with a focus on programming and algorithms - Problem-solving skills and the ability to interpret data effectively - Experience with statistics, probability theory, and game calculations - Bachelors or Masters degree in Mathematics, Physics, Computer Science, or a related field - Experience in game design or a similar industry is a plus

As a Senior Data Scientist Engineer, you will play a pivotal role in designing and developing cutting-edge data systems to facilitate analytics, machine learning, and business intelligence initiatives. Your deep expertise in data engineering and data science will be instrumental in handling complex datasets, building scalable predictive models, and delivering actionable insights that drive strategic decisions across the organization. Key Responsibilities: - Extract usable data from valuable sources through data mining techniques - Utilize machine learning tools to select features, create, and optimize classifiers - Conduct preprocessing of both structured and unstructured data - Enhance data collection procedures to ensure inclusion of all relevant information for analytic system development - Process, cleanse, and validate data integrity for analysis purposes - Analyze vast amounts of information to identify patterns and propose solutions - Develop prediction systems and machine learning algorithms - Present results effectively to stakeholders - Collaborate with Business and IT teams to tackle business challenges effectively Preferred Skills: - Proficiency in statistical programming languages such as R, Python, and database query languages like SQL, Hive, Pig - 5+ years of experience as a data scientist - Familiarity with Scala, Java, or C++ is advantageous - Strong applied statistical skills and knowledge of statistical tests, distributions, regression, and estimators - Good understanding of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests - Solid grasp of Multivariable Calculus and Linear Algebra - Proficiency in data wrangling and handling imperfections in data - Experience with data visualization tools like matplotlib, ggplot, d3.js, and Tableau - Excellent communication skills for conveying findings to both technical and non-technical audiences - Strong software engineering background and problem-solving aptitude - Analytical mindset and business acumen - Degree in Computer Science, Engineering, or a relevant field preferred - Proven experience as a Data Analyst or Data Scientist The company offers: - Excellent career growth opportunities and exposure to multiple technologies - Fixed weekday schedule with weekends off - Family Medical Insurance - Unique leave benefits and performance-based encashment options - Long-term growth opportunities - Fun family environment with experienced developers - Internal rewards programs based on performance - Work-life balance initiatives including flexible work timings, early-out Fridays, and social activities - Company-sponsored international tours This is a Full-Time Data Science role located in Kochi Trivandrum.,

Job Description: You have a strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch. Familiarity with Java or C++ is a plus. You have a solid grasp of linear algebra, probability, statistics, and algorithms for model development. You also have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Key Responsibilities: - Strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch - Ability to collect, clean, transform, and analyze data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop) - Experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes - Familiarity with command-line tools and Unix-based system administration - Skilled in analyzing datasets and visualizing results using Python, R, or similar tools - Understanding of ethical AI development, bias mitigation, and compliance with data privacy laws Qualifications Required: - Strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch - Ability to collect, clean, transform, and analyze data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop) - Experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes - Familiarity with command-line tools and Unix-based system administration - Skilled in analyzing datasets and visualizing results using Python, R, or similar tools - Understanding of ethical AI development, bias mitigation, and compliance with data privacy laws Please note that this job is a Full-time position with an in-person work location, and the schedule is a day shift.,

As a Sales Research Analyst cum Proposal Creator at Xpresso, your role involves conducting market research, analyzing data, and identifying trends to support sales strategies. You will be responsible for preparing detailed proposals and presentations, communicating findings to the sales team, and collaborating on strategy development. Your ability to gather and synthesize information from various sources, ensure data accuracy, and provide actionable insights will be crucial for success in this position. Key Responsibilities: - Conduct market research and analyze data to identify trends - Prepare detailed proposals and presentations tailored to client needs - Communicate research findings to the sales team effectively - Collaborate with team members on strategy development - Ensure data accuracy and provide actionable insights for decision-making Qualifications Required: - Possess strong analytical skills and knowledge of statistics - Proficient in market research and research techniques - Excellent communication skills to convey complex information clearly - Strong attention to detail and ability to synthesize data effectively - Bachelor's degree in Business, Marketing, Statistics, or related field - Experience in sales or market analysis is a plus - Ability to work effectively in a team environment and meet deadlines At Xpresso, we value curiosity, self-starters, and proactive individuals who drive growth through their energy and initiative. Join us in this exciting opportunity to be part of a dynamic team that is dedicated to breaking new ground and achieving even bigger things!,

As a Business Client Executive, your primary role will involve meeting with business clients on the field daily. You will play a crucial part in assisting the team to achieve their targets, increasing revenue of regional targets, and exploring growth opportunities. Key Responsibilities: - Meeting business clients on the field daily - Assisting in achieving team targets - Increasing revenue of regional targets - Exploring growth opportunities Qualification Required: - Any graduation - Willingness to visit the field daily - Freshers with enthusiasm for sales - Ability to multitask, prioritize, and manage time efficiently - Goal-oriented and organized team player - Excellent interpersonal relationship skills - Proficiency in analyzing data and sales statistics - Strong negotiation and communication skills - Ability to think innovatively - Capacity to manage multiple accounts simultaneously - Proficient in delivering client solutions and meeting sales goals,

Role Overview: As a Business Intelligence Analyst (R Shiny Developer) at MCGI Private Limited in Kochi, India, your primary responsibility will be to collaborate with the U.S.-based business analytics team. You will focus on maintaining and enhancing the in-house Shiny dashboard, developing new functionalities and automation, and supporting business intelligence and data engineering needs. Key Responsibilities: - Maintain, optimize, and enhance the Shiny dashboard to ensure reliability and performance. - Develop SQL data pipelines to support merchants and the business analytics team. - Create new features and automation to streamline merchandising processes. - Collaborate with merchants, sales, and stakeholders to identify and implement data-driven solutions. Qualifications: - Proficiency in SQL, R, and Shiny (experience with Apache Airflow is a plus). - Bachelor's degree in Information Systems, Mathematics, Data Science, Computer Science, Statistics, or a related STEM field. - Minimum of 2-3 years of R Shiny development experience. - Strong analytical, problem-solving, and communication skills. - Ability to work both independently and in collaborative team environments.,

You will have the opportunity to build a career at EY with the support, inclusive culture, and technology necessary for personal and professional growth. Your unique voice and perspective are valued to contribute to making EY better and creating a better working world for all. As a Manager of multiple analytics teams at EY, you will be responsible for overseeing various Business Intelligence projects. You must have a minimum of 10 years of experience in information analysis and reporting in descriptive and diagnostic streams. Your role involves understanding and articulating business intelligence problems, leading multiple projects independently, and working as the main point of contact for clients. - Act as the main PoC for clients regarding project execution - Provide technical best practices at product and design levels - Interact with onsite coordinators and communicate effectively - Develop analytical strategies using predictive modeling, time series forecasting, clustering, and customer segmentation - Document and present work to clients, recommend changes in business decision-making, and ensure timely completion of tasks with regular status reporting - B Tech/Masters or Ph.D. in Economics (econometrics), Statistics, MBA (with strong quantitative background), or Bachelor's in Engineering with industry experience - Minimum of 10 years of experience in Analytics with understanding of best practices - Strong business communication, consulting, and quality process skills - Ability to work well in a team and lead effectively EY is dedicated to building a better working world by creating long-term value for clients, people, and society and fostering trust in the capital markets. EY teams in over 150 countries leverage data and technology to provide assurance and support clients in growth, transformation, and operations across various sectors. The organization focuses on asking better questions to address complex global issues.,

As a Data Analytics Trainer, you will be responsible for designing and delivering high-quality training programs that cover various aspects of data analytics. Your role will involve creating engaging content, facilitating workshops, and mentoring participants to ensure they acquire the skills needed to excel in the field of data analytics. Key Responsibilities: - Training Development: Design and develop training materials that effectively cover a wide range of data analytics topics. - Up-to-date Knowledge: Stay informed about the latest trends, tools, and techniques in the field of data analytics to ensure training content is current and relevant. Qualifications: - Experience: Proven experience as a Data Analyst or Data Scientist, with a strong track record of applying data analytics techniques and tools in a practical environment. - Teaching Experience: Previous experience in training, teaching, or mentoring, with the ability to convey complex concepts in a clear and engaging manner. - Technical Skills: Proficiency in data analytics tools and programming languages (e.g., Excel, SQL, Python, R, Tableau, Power BI). - Communication Skills: Excellent verbal and written communication skills, with the ability to engage and motivate learners. - Education: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degrees or relevant certifications (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate) are a plus.,

As a Senior Manager in Market Risk at EY, you will have the opportunity to lead a high-performing team in executing complex Financial Services and Risk Management engagements. Your expertise in capital market instruments and risk dynamics will be crucial in providing tailored risk management solutions to clients. Your role will involve cultivating senior-level client relationships, contributing to thought leadership, and ensuring high-quality project outcomes. Your project management skills will be essential in monitoring progress, managing risks, and fostering a collaborative environment among team members. Additionally, you will lead internal initiatives to enhance methodologies and frameworks within the Financial Services Risk practice. Key Responsibilities: - Lead a team of 10-15 members in planning, executing, and delivering Financial Services and Risk Management engagements - Provide expert guidance on capital market instruments and risk dynamics - Cultivate and manage senior-level client relationships - Contribute to thought leadership and stay ahead of emerging trends in financial risk and capital markets - Evaluate and deliver tailored solutions to meet client requirements - Demonstrate exceptional project management skills and promote accountability and high performance among team members - Monitor project progress, manage risks proactively, and communicate effectively with key stakeholders - Lead internal initiatives to enhance methodologies and frameworks within the Financial Services Risk practice Qualifications Required: Must-have: - Bachelors degree in quantitative finance, Financial Engineering, Mathematics, Physics, Statistics, Engineering, or other numerical subjects - Minimum of 10 years of experience in risk management, valuation control, quantitative analytics, preferably with pricing and modeling experience on financial derivatives - Solid understanding of Risk analytics methodologies, including hedge effectiveness testing - Advanced technical skills in VBA, Python, or MATLAB - Experience with vendor software such as Bloomberg, Numerix, Refinitiv - Excellent analytical and problem-solving expertise - Exceptional documentation skills and project management abilities Preferred: - Professional certifications such as FRM, CFA, PRM, or CQF - Knowledge/experience in pricing/risk management systems (e.g., Calypso, SunGard Adaptive, Murex, Numerix) - Experience in quantitative and qualitative analysis of risk exposures - Team management skills, including coaching and mentoring - Willingness to travel for client engagements Join EY and be part of a culture that values training, opportunities, and creative freedom. You will work on inspiring projects and receive support and feedback from engaging colleagues. EY offers opportunities for skills development, career progression, and the freedom to handle your role in a way that suits you. EY is committed to building a better working world by creating new value for clients, people, society, and the planet through data, AI, and advanced technology.,

As a Placement Officer at Emergio Games Pvt. Ltd., your role will involve supporting trainees in their career journey by coordinating placement activities, networking with industry contacts, and guiding them to enhance their employability. Key Responsibilities: - Develop and maintain relationships with employers and industry professionals. - Identify job opportunities, internships, and training programs for students. - Organize campus recruitment drives, job fairs, and employer networking events. - Coordinate interview schedules and facilitate the hiring process. - Follow up with recruiters to ensure successful placements. Student & Graduate Support: - Provide career counseling and guidance on job opportunities. - Assist students in resume writing, interview preparation, and soft skills development. - Conduct employability skills workshops and career development programs. - Offer personalized support to students seeking job placements. Data Management & Reporting: - Maintain records of student placements, employer feedback, and hiring trends. - Generate reports on placement statistics and job market trends. - Ensure compliance with institutional policies and industry standards. Collaboration & Outreach: - Work with academic departments to align placement activities with curriculum needs. - Establish partnerships with professional associations and industry bodies. - Stay updated with labor market trends and required skill sets. Qualifications & Skills: - Bachelors degree. - Experience in career services, recruitment, or human resources preferred. - Strong networking, communication, and relationship-building skills. - Knowledge of industry trends, job market insights, and career development strategies. - Excellent organizational and problem-solving abilities. - Proficiency in MS Office and career management software. - Strategic thinking and problem-solving. - Strong interpersonal and negotiation skills. - Ability to work with students, faculty, and employers effectively. - Goal-oriented and results-driven approach. Benefits: - Flexible schedule - Paid sick time - Paid time off Schedule: - Day shift - Fixed shift - Monday to Friday Performance bonus Work Location: In person,

As a Quality & Compliance Assistant at SIBAS, your primary role is to support the organizational requirements to ensure compliance with relevant standards. You will report to the Senior QC Officer and be responsible for the following key tasks: - Going through client or employee feedbacks and incidents regularly, identifying serious incidents or feedbacks, and reporting them to the Senior QC Officer. - Keeping registers for incidents and feedbacks up to date. - Handling general admin tasks such as data entry/management within the QC department. - Editing, formatting, and amending various client, employee, risk, and QC forms. - Taking meeting minutes and producing reports when necessary. - Assisting with monthly statistics and reports related to client/staff feedback on matters of quality and compliance. The ideal candidate for this role will have previous experience in a quality and compliance capacity. In addition, you should possess the following qualifications: - Proficiency with MS Office, especially Microsoft Excel and Word. - Advanced skills in administrative practices and processes. - Strong attention to detail. - Proven track record of staying organized in a deadline-driven environment with competing priorities. - Well-developed interpersonal and report writing skills. At SIBAS, we value our employees as the key to our success. We are dedicated to creating a diverse and inclusive culture that reflects the communities we serve. Some of the benefits we offer to our staff include: - Opportunity to work with international clients. - Attractive remuneration package. - Work-life balance with working hours from 8am to 4pm, Monday to Friday. - Career growth and development opportunities in a dynamic and growing company. - Diverse and inclusive workplace with a friendly and supportive team. - Excellent facilities and an attractive location. If you have experience in quality and compliance roles and are eager to contribute as part of a high-performance team, we encourage you to apply now to be a part of our team at SIBAS. We are looking for candidates who are committed to excellence and willing to grow with us. Shortlisted candidates will be contacted soon. Benefits: - Paid sick time Schedule: - Day shift Ability to commute/relocate: - Ernakulam, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: - Total work: 2 years (Required) Work Location: In person Expected Start Date: 12/05/2025 As a Quality & Compliance Assistant at SIBAS, your primary role is to support the organizational requirements to ensure compliance with relevant standards. You will report to the Senior QC Officer and be responsible for the following key tasks: - Going through client or employee feedbacks and incidents regularly, identifying serious incidents or feedbacks, and reporting them to the Senior QC Officer. - Keeping registers for incidents and feedbacks up to date. - Handling general admin tasks such as data entry/management within the QC department. - Editing, formatting, and amending various client, employee, risk, and QC forms. - Taking meeting minutes and producing reports when necessary. - Assisting with monthly statistics and reports related to client/staff feedback on matters of quality and compliance. The ideal candidate for this role will have previous experience in a quality and compliance capacity. In addition, you should possess the following qualifications: - Proficiency with MS Office, especially Microsoft Excel and Word. - Advanced skills in administrative practices and processes. - Strong attention to detail. - Proven track record of staying organized in a deadline-driven environment with competing priorities. - Well-developed interpersonal and report writing skills. At SIBAS, we value our employees as the key to our success. We are dedicated to creating a diverse and inclusive culture that reflects the communities we serve. Some of the benefits we offer to our staff include: - Opportunity to work with international clients. - Attractive remuneration package. - Work-life balance with working hours from 8am to 4pm, Monday to Friday. - Career growth and development opportunities in a dynamic and growing company. - Diverse and inclusive workplace with a friendly and supportive team. - Excellent facilities and an attractive location. If you have experience in quality and compliance roles and are eager to contribute as part of a high-performance team, we encourage you to apply now to be a part of our team at SIBAS. We are looking for candidates who are committed to excellence and willing to grow with us. Shortlisted candidates will be contacted soon. Benefits: - Paid sick time Schedule: - Day shift Ability to commute/relocate: - Ernakulam, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: - Total work: 2 years (Required) Work Location: In person Expected Start Date: 12/05/2025

As a Security Engineer specializing in Cyber Security -MSS- Endpoint Security, you will be responsible for the following: - Having 6 to 8 years of relevant experience with a focus on daily McAfee and SEP hands-on technical support for end point customers. - Managing McAfee solution-based VDI Environment and SEPM for server-based environments. - Creating and managing policies, scheduling scans, and on-demand scans. - Implementing, migrating, and upgrading antivirus solutions for endpoints such as McAfee and Symantec for VDI, server, desktop, and thin client endpoints. - Working on managing End Point Security Estate & Products (Antivirus/Antimalware basic to Advance level of support) security. - Experience in operating enterprise security applications, performing administration, implementation, configuration, upgrading, and policy creation. - Administering the McAfee ePO and SEPM (Symantec endpoint Management) environment, configuring and resolving complex issues in a geographically dispersed environment. - Monitoring, reporting, and responding to security data generated by McAfee and Symantec solutions to reduce security threats and provide risk assessments and recommendations. - Identifying process and technical improvements, establishing and maintaining configurations and policies. - Administering McAfee policy Orchestrator (ePO), creating ePO queries, SEPM (Symantec) Policy management, and reports for deployment statistics. - Having expertise with the McAfee ePO console and working with various server and desktop operating systems including Microsoft Windows, UNIX, and Mac OS. - Leading the discovery and documentation of client requirements, producing project deliverables, and communicating technical content to various audiences. Required Skills: - McAfee - SQL - OS - Unix - Endpoint Security - SEPM Please note that the hiring process for this position includes Screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round.,