15764 Data Analysis Jobs - Page 26

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. The Generative AI space at Target is evolving at an incredible pace. We are constantly reimagining how we may leverage AI for solving the challenging problems in retail. A role with the Generative AI Data Science team means building scalable data science products by leveraging Generative AI in an efficient manner. This will mean being more intelligent, automated and algorithmic in our decision-making. So, were looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root cause, simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on this dynamic team. About the role Our Generative AI team oversees the development of a platform which will allow various product & engineering teams to leverage GenAI based solutions in an effective manner. We also support various teams within Target so that they will be able to build products as per Target standards regarding use of responsible AI. As a Senior Data Scientist at Target, you will get an opportunity to design, develop, deploy and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with AI/ML engineers and data scientists on peer teams to build and productionize groundbreaking GenAI based solutions for various teams. In this role as a Senior Data Scientist, you will Analyze large datasets for insights leading to business process improvements or solution development. Contribute to the research, design, and implementation of leading-edge generative AI technologies to address and solve complex problems that contribute to finding solutions for the retail world. Work with Multimodal LLMs, enhance model performance, fine-tune LLMs Work with the team to build and maintain complex software systems and tools. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Requirements Bachelors/MS/PhD in Mathematics, Statistics, Computer Science, or other related fields 3-4+ years of relevant experience Strong analytical thinking. Ability to creatively solve business problems, innovating innovative approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Experience in developing, testing, and maintaining large codebases in a collaborative environment, while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive. Exposure to programmatic use of GenAI/LLMs and related ecosystem. Experience in developing Deep Learning based solutions using PyTorch or TensorFlow Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Preferred Qualifications Knowledge of containerized solutions using Docker/ Kubernetes. Exposure to Prompt Engineering, Embedding Generation, Retrieval Augmented Generation (RAG) space (e.g., Vector DB, Elastic Search) will be plus. Knowledge of Computer Vision & Deep Learning Methods. Good working Knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, visualizations, and applications of same in a variety of business problems. Experience deploying solutions with large-scale business impact in commercial settings. Know more about us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Lead Data Analyst As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a part of the Merchandising Analytics and Insights team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all Merchandising strategic initiatives with data, reporting and analysis. Merchandising teams rely on this team of analysts to bring data to support decision making. PRINCIPAL DUTIES AND RESPONSIBILITIES As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will lead an agile team which requires active participation in ceremonies and team meetings. In this role, youll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiatives requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leveraging in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability are still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs. Key Responsibilities *: Work with MC, Merch, Planning, Marketing, Digital, etc. teams to use data to identify opportunities, bridge gaps, and build advanced capabilities Partner with Product, DS, DE, etc. to determine the best approach to gather, model, manipulate, analyze and present data Develop data and metrics to support key business strategies, initiatives, and decisions Explore data, technologies, and the application of mathematical techniques to derive business insights Desired Skills & Experiences *: Ability to breakdown complex problems, identify root cause of the issue, and develop sustainable solutions Ability to influence cross-functional teams and partners at multiple levels of the organization Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education About you (In terms of technical) B.E/B.Tech,M.Tech,M.Sc. , MCA - Overall 8-12 years of experience. And 6-8 years data ecosystem experience. Strong Architect of data capabilities and analytical tools. Proven experience to architect enterprise level Datawarehouse solutions and BI Implementations across Domo, Tableau & other Visualization tools. Provide expertise and ability to train and guide team to implement top design architectures to build next generation analytics Deep Big data experience. Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, experience in developing Hive and PySpark SQL and designing and developing Oozie workflows. Hands on experience in object oriented or functional programming such as Scala &/or Python/R or other open-source languages Strong foundational mathematics and statistics Experience in analytical techniques like Linear & Non-Linear Regression, Logistic Regression, Time-series models, Classification Techniques etc (In terms of soft skills for lead role) Strong stakeholder management with product teams and business leaders. Has strong problem solving, analytical skills and ability to manage ambiguity. Ability to communicate results of complex analytic findings to both technical /non-technical audiences and business leaders. Ability to lead change, work through conflict and setbacks . Experience working in an agile environment (stories, backlog refinement, sprints, etc.). Excellent attention to detail and timelines. Strong sense of ownership. Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target In India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in Promotions . Promotions are a critical lever in driving price perception and delivering exciting deals to our guests. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals withpricing and promotions experienceand engineering skills who can solutions at scale. If you are that person, you can expect to be involved in: Defining, developing and integrating modules foralgorithmic decision makingwith thepricing systems. Influencing roadmaps and driving its execution with a team of talented scientists. Developing and integrating Datascience models with Pricing platformand collaborating with engineers and science team to bring it to life. Position Overview As Senior Engineer, you will join a Target Tech team responsible for Promotion forecasting and optimization. You will play crucial role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Whys, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target Work on advanced analytics and data science projects that directly impact Targets global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits

The Managing Consultant for transformation programs in the Banking sector will focus on supporting the execution of initiatives with the following key responsibilities: 1. Solution Design and DevelopmentCollaborate with senior consultants to design innovative solutions that leverage data, AI, and automation to address client challenges in banking. This includes participating in brainstorming sessions and contributing to the development of proposals. 2. Engagement ExecutionTake lead responsibility implementation of transformation initiatives by coordinating project activities, managing timelines, and ensuring adherence to project plans. Support cross functional teams to facilitate effective execution. 3. Banking AnalysisConduct analysis of banking operations and processes to identify problem statements. Utilize data analytics tools to derive insights that inform solution design and execution. 4. Data AnalysisExecute Analysis by collaborating with various team to collect organizational data and metrics for deriving inferences. 5. Performance TrackingHelp establish key performance indicators (KPIs) for transformation initiatives. Monitor project progress and report on outcomes to senior team members. 6. Client EngagementAssist in client interactions by preparing materials for meetings, documenting discussions, and following up on action items to ensure alignment with client expectations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 1. Educational BackgroundA master’s degree in finance or an MBA with specialization in finance, A Bachelor’s degree (BTech/ BE/ Integrated Masters) in a relevant discipline is required. 2. ExperienceOver 10 years of experience in consulting or a services firm working with financial services industry, with a strong focus on banking transformation projects using data-driven approaches. 3. Banking KnowledgeExpertise in leading or crafting analytical solutions or products within the banking sector. 4. Skills: a. Proficiency in programming languages such as Python or R for data analysis. b. Expertise in data visualization tools (e.g., Tableau/ Power BI /Excel) for effective communication of insights. c. Familiarity with machine learning concepts and frameworks (e.g., Scikit-learn) for basic model development d. Working knowledge of cloud computing (e.g., AWS, Azure, GCP) for deploying scalable solutions. 5. Professional Skills: a. Strong analytical skills with a focus on problem identification and solution formulation b. Good communication skills for engaging with team members and clients c. Ability to work collaboratively within cross-functional teams. Preferred technical and professional experience Industry KnowledgeUnderstanding of banking operations, digital banking trends, and change in regulatory compliance requirements. 2. Advanced Analytical TechniquesFamiliarity with advanced analytical methodologies such as natural language processing (NLP) for customer insights or predictive analytics for risk assessment.

Understand functional and business requirements from either the client of Apptio delivery team and translate into a technical design, which meets customer needs, provides maximum solution value, and is within scope of Apptio products/services. Understand, validate and manipulate multiple datasets in preparation to load into the Apptio solutions(s) Configure, test, & document Apptio dashboards, reports and underlying data models to meet functional design and specifications. Work closely with other consultants in the organization to leverage skill sets and deliverables. Collaborate with other departments in the company to achieve customer satisfaction and resolve customer issues in a timely fashion. Translate business and functional requirements into a technical solution design to meet business goals within scope of Apptio products/services Work closely with customer and internal team to ensure implementation activities are aligned with scope, schedule and priority. Collaborate with other departments in the company to ensure customer satisfaction and resolve issues in a timely fashion. Work with the product management and development organization to channel client feedback into future releases of the Apptio product suite Provide customer with end-user training and operational documentation to maintain the implemented integrations. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 3+ years of experience as a business analyst, consultant or technical analyst role working in Finance and / or IT domains 1+ years of experience in a customer facing, SaaS software implementation role Client-focused attitude – a customer advocate. Bachelor’s degree or equivalent related experience Ability to demonstrate analytical and problem-solving skills Experience with data dictionaries, data analysis and relational databases Skilled at working with large data sets, quickly detecting and resolving data-related issues Skilled at completing technical design via iterative mockups Basic programming skills and data analytics e.g. HTML, SQL, Excel, Access, Business Objects, etc Preferred technical and professional experience Experience with Apptio tool or certification Self-starter – able to come up to speed on complex, difficult concepts with minimal assistance Team player with solid communication and presentation skills Ability to breakdown complex information into simple solution requirements Strong to expert skills in data analysis/manipulation Knowledge of enterprise IT organizational, business, and technical environments Strong communication skills General understanding of basic financial concepts such as general ledger, budget, forecast and cost General understanding of IT infrastructure concepts such as server, storage, virtualization and software applications

Role & responsibilities Workforce Standards & Performance Enhancement Develop and evaluate Engineer workforce standards to ensure operational efficiency. Implement operator-level workforce standards Manpower Planning & Resource Allocation Forecast workforce demands and plan supporting resources (headcount, budget, tools). Optimize overtime management and workforce Optimize overtime management and workforce adjustment strategies. Labor Cost Optimization Identify inefficiencies and lead initiatives to reduce labor costs while maintaining productivity. Strategic Workforce Support Provide data-driven workforce strategies to align with client objectives. Job Summary: We are seeking a highly analytical and strategic Workforce Standards & Efficiency Specialist to optimize workforce planning, enhance productivity, and drive cost-effective labor strategies across the organization. This role will focus on establishing workforce standards, improving operational efficiency, managing overtime, and aligning manpower strategies with business group objectives. Additionally, you will oversee overseas workforce quota management and ensure optimal resource allocation. Preferred candidate profile 5+ years in workforce planning, labor standards, or HR analytics. Proven track record in manpower optimization, cost reduction, and overtime management. Skills: Strong data analysis (Excel, Power BI, PPT). Knowledge of labor regulations and workforce modeling. Project management and cross-functional collaboration.

Act as a liaison between business stakeholders and technical teams to gather, document, and translate business requirements into data platform capabilities. Define and document data product requirements, KPIs, metrics, and business rules to be enabled via the platform. Define test scenarios and data quality checks to validate reports and dashboards. Coordinate UAT with business users and sign off deliverables. Collaborate with platform owners on roadmap definition, backlog prioritization, and delivery planning Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Prior experience working in banking or regulated project. Exposure to data product thinking and domain-driven data modeling. Understanding of data privacy, security, and compliance regulations (e.g., RBI, GDPR Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

We are looking for a Quality Manager with a Black Belt certification in Six Sigma to oversee our BPO operations quality teams. This role requires a strong understanding of Six Sigma methodologies and a proven track record of implementing successful quality improvement projects and managing quality teams. The ideal candidate will be a highly motivated and results-oriented individual with excellent communication, analytical, and problem-solving skills. Key Responsibilities: Develop and implement quality management systems: Establish and maintain robust quality management systems (QMS) aligned with industry best practices and regulatory requirements. Conduct quality audits: Perform regular internal and external quality audits to identify areas for improvement and ensure compliance with established standards. Drive Six Sigma initiatives: Lead and participate in Six Sigma projects to identify and eliminate root causes of defects, reduce process variation, and improve operational efficiency. Analyze data and generate reports: Collect, analyze, and interpret data related to quality performance, identify trends, and generate reports to track progress and communicate findings to stakeholders. Develop and deliver quality training: Design and deliver training programs to BPO employees on quality standards, methodologies, and best practices. Monitor and analyze customer feedback: Gather and analyze customer feedback to identify areas for improvement in service delivery and customer satisfaction. Collaborate with cross-functional teams: Work closely with other departments (e.g., Operations, Technology, Human Resources) to ensure seamless integration of quality initiatives across the organization. Stay abreast of industry best practices: Stay informed about the latest industry trends, technologies, and best practices in quality management. Qualifications: Bachelor’s degree . Six Sigma Black Belt certification is mandatory . Minimum of 10 years of experience in a Quality Assurance or related role within a BPO environment. Proven experience in implementing and managing quality management systems and teams Strong analytical and problem-solving skills with the ability to analyze data and identify root causes of issues. Excellent communication and interpersonal skills with the ability to effectively communicate with all levels of the organization. Strong project management and organizational skills with the ability to manage multiple projects simultaneously. 1 Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Experience with quality management software (e.g., Minitab, JIRA) is a plus. Key Skills: Six Sigma methodologies (DMAIC, DFSS) Quality Assurance principles Root Cause Analysis Data Analysis and Reporting Process Improvement Customer Satisfaction Communication and Interpersonal Skills Project Management Problem-Solving Leadership Job Environment: F ull-time position working from the office Permanent Night shifts (US shift timings)

RG Stone Clinic-Faridabad-Urology is looking for Consultant/Senior Consultant/Urologist to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson What happens once you apply Primary country and city: India (IN) || Kolkata || Bangalore || Pune || Chennai Req ID: 768858

The WHS Manager will be responsible for partnering with a site operations team at AMZL Stations to execute company safety policies and ensure compliance to all applicable local and regional regulations. By leveraging lean principles and kaizens, this individual will lead continuous improvement initiatives to reduce conditional and ergonomic risk in our processes to ensure a safe and healthful working environment for our Associates. The WHS Manager must demonstrate the ability to build trust and confidence with the Operations Team and influence change through providing comprehensive risk assessments and safety data analysis. The WHS Manager must be an effective communicator and send clear, concise and consistent messages, both verbally and in writing. This individual must instruct and train Operations Leaders in company safety policies and assist the operations site teams in incorporating our safety standards at their site. The WHS Manager will be required to identify best practices and incorporate these best practices into our standards to continuously improve company safety policies. The WHS Manager will be required to possess excellent safety program and relevant safety, environmental and ergonomic knowledge and demonstrates this expertise when working with Operations. The WHS Manager will be responsible to lead a WHS & Safety team members: Safety Specialist, Safety Coordinators, Onsite first aid Associates. This individual must create and execute leadership development plans for their Safety Associates on their team. They must communicate safety team expectations and give frequent and appropriate feedback to their safety teams and ensure they are executing to the core competencies of an Amazon safety professional The WHS Manager is responsible for partnering with senior Cluster Operations Managers for WHS and environmental compliance in their clusters. This role facilitates safe operations for stations with a capacity of 40K to 80K unit shipments in BAU and up to 120K units during peak. The role has to work closely with Cluster Operations Managers, 6 Station Managers, and Support Partners from SLP, PXT, and RME. This is a people manager role responsible for blue-badge officers, three yellow-badge supervisors, and 6 contingents yard marshal employees. This manager will need to maintain building and process path level Risk assessments in order to recommend control measures to pre-empt injury to associates. This position maintains audit records and Austin entries for the cluster, according to global safety standards and local regulations. This position requires the confidence, Subject Matter expertise and communication skills along with and cross-business coordination abilities to be able identify, scope and roll out safety improvement projects in their cluster. The WHS Manager will need to analyse data of injuries, Near Misses and Dragonfly inputs to identify trends to help the Region in decision-making to drive improvements. Effective communication, both verbal and written, is crucial for this role. This manager is responsible to educate and drive awareness on WHSMS procedures and drive standardization through identification and correction of Non-compliance to standards. The WHS manager will drive the Site Self-Audits on these WHSMS procedures at a high bar to ensure zero non-compliance in legal audits. The manager will need to build effective partnerships across functions such as HR, Facilities, Operations, and WHS Peers to be able to support their team to raise the bar on safety reporting and CAPA closures. During peak periods, they anticipate and mitigate potential safety hazards and scale up safety awareness of new hires in the cluster. Making informed decisions in ambiguous situations and knowing when to escalate issues is crucial to operate in the fast-paced Last Mile business. WHS manager will lead a team of WHS employees will communicate team expectations and goals, providing regular and actionable feedback. Reducing team attrition rates and developing employees for promotion are key objectives. They will conduct consistent one-on-one meetings and support career growth plans for their team. Assigning stretch assignments based on skill sets and developmental needs is part of their role. This manager will recognize and reward individual and collective successes frequently and balance daily routines with coaching, development, and continuous improvement initiatives for their team. Science graduate / Diploma in Engineering / Engineering Degree + Safety Diploma from recognized institute / NEBOSH IGC or Diploma 3+ years of increasing responsibilities in WHS or environmental programs in manufacturing, production, or service operations experience Knowledge of Microsoft Office products and applications and the use of pivot tables and the development of charts and graphics Experience in Distribution Center or Manufacturing EHS with mix of exempt and non-exempt employees at a site of at least 250 people Experience implementing lean principles and process improvement in an operational environment

Please note - This is a full time contractual role AI is the most transformational technology of our time, capable of tackling some of humanitys most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just dont think out of the box, but make the box they are in Bigger. The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months. Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic qualifications • An Associates Degree or related work experience • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents

SynapseIndia is looking for Consultant ( Blockchain) to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Ebizneeds (India) Internet Solutions Pvt. Ltd is looking for Digital Marketing Pro to join our dynamic team and embark on a rewarding career journey Build, plan and implement the overall digital marketing strategy Manage the strategy Manage and train the rest of the team Stay up to date with the latest technology and best practices Manage all digital marketing channels Measure ROI and KPIs Prepare and manage a digital marketing budget Oversee all the company's social media accounts Manage and improve online content, considering SEO and Google Analytics Build an inbound marketing plan Forecast sales performance trends Motivate the digital marketing team to achieve goals Monitor competition and provide suggestions for improvement

Ebizneeds (India) Internet Solutions Pvt. Ltd is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

RG Stone Clinic-Faridabad-Urology is looking for Consultant / Senior Consultant (General & Laparoscopy Surgeon) to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Amazon s affiliate program (Amazon Associates) is one of the largest of its kind, with a massive base of affiliates registering and driving users to purchase everything from books to band saws, kayaks to Kindles on Amazon.com. Such a large impactful program opens Amazon to many risks both financial and reputational. This role will be a key member of the TSS Risk team responsible for driving analysis and insights to help make meaningful business decisions. As a Sr. Business Analyst, you will focus on improving the success within business functions by analyzing data, discovering and solving real world problems, building metrics and business cases to improve customer experience, and providing timely data support for reporting of Key Performance Indicators. A key component of the role is to identify process and system improvement opportunities by developing the right metrics, analyzing data, and partnering with internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Understands the various operations across Associates Risk and Back-end support tasks Understands the requirements of stakeholders and is able to map them with the data sources/data warehouse Design and develop highly available dashboards and metrics using Tableau, Excel and SQL. Develop Self help dashboards for the internal team and stakeholders Provide wing-to-wing project life-cycle execution (project planning, execution, risk assessment and system availability) Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Team leads/Specialists Perform business analysis and data queries using scripting languages like R, Python etc. Understanding of analytical methods and support experiments and report out (Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) Identify new pattern of abuse and make recommendations for new controls and improved monitoring, using Data analysis. Support Investigators with extraction of relevant data to support large scale analysis Develop and oversee the initiation of strategy recommendations Own and report the HC distribution and utilization of Variable HC and report to finance. Come up with recommendations for efficient utilization and automation, improve efficiency About the team At Amazon, were working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and intelligence driven people. Our candidate is detail-oriented, with improving process efficiency, communicates clearly and effectively, and is comfortable working through ambiguity. In addition, the candidate demonstrates writing and documentation skills. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel 4+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience

JD-Working knowledge of Azure AIWorking knowledge of LLM , RAG Data insights , Reasoning Agent , Chain of thoughtKnowledge of Graph DB , COSMOS DB , Neo4jPrompt engineeringAPI buildingDomain knowledge in Finance , data managementShould have worked on enterprise AI use cases and one go live solution.

Internal Firm Services Industry/Sector Not Applicable Specialism IFS Internal Firm Services Other Management Level Associate & Summary At PwC, our people in information technology operations focus on managing and maintaining the technology infrastructure and systems to provide smooth operations and efficient delivery of IT services. This includes monitoring network performance, troubleshooting issues, and implementing security measures. In service management at PwC, you will focus on overseeing and confirming the delivery of quality and timely services. You will monitor vendor compliance with contractual agreements for service quality, availability, and reliability, manage the business and delivery of services, and lead service recovery in case of major incidents. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations & Summary A career within Information Technology Service Desk & IT Support focusing on MFiles involves providing technical support and maintenance for the MFiles document management system. The role is key in ensuring system performance, reliability, and enhancing document management utilization across the organization. Job Position Title Associate/Senior Associate || Handle initial user inquiries and troubleshoot issues. Familiarity with MFiles functionality and architecture. Work with IT and business teams to understand document management needs and provide solutions. Configure the MFiles platform to meet specific needs. Respond to and manage support tickets and customer queries in a timely and professional manner. Document issues and resolutions, maintaining an accurate log of activities for reference. Assist in testing new features and updates to the platform to ensure quality and performance. Contribute to the creation and updating of support documentation and FAQs. Provide guidance to users on effectively using the application. Monitor app performance and report any issues Mandatory skill sets Deep understanding of the MFiles platform, its features, and its architecture. Understanding of database concepts and experience with SQL for querying and data analysis. Experience with cloudbased environments where MFiles may be hosted. Preferred skill sets MFiles Certified Professional (MCP). ITIL v4 foundation certification Years of experience required 3+ years and above. Education qualification Any UG/PG Education Degrees/Field of Study required Bachelor Degree Degrees/Field of Study preferred Required Skills MFiles Accepting Feedback, Accepting Feedback, Active Listening, Communication, Communications Planning, Conflict Resolution, Contract Management, Contract Negotiation, Crisis Management, Customer Relationship Management, Customer Service Excellence, Customer Service Management, Developing Service Standards, Emotional Regulation, Empathy, Escalation Management, Inclusion, Information Technology Infrastructure Library (ITIL), Intellectual Curiosity, Internal Communication (IC), Issue Management, IT Business Strategy, ITIL Compliance, IT Project Lifecycle, IT Service Management (ITSM) {+ 19 more} Travel Requirements Available for Work Visa Sponsorship

Not Applicable Specialism Data, Analytics & AI & Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC & Summary BW on HANA/BW4HANA implementation in key SAP modules Requirement s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. Data extraction from SAP and nonSAP systems, data modelling and reports delivery. Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions Understand the integration and consumption of BW data models/repots with other Tools Responsibilities Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. Mandatory skill sets Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Preferred skill sets Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred Required Skills SAP Business Warehouse Structured Query Language (SQL), Troubleshooting No

Job Title: Technical Team LeadLocation: TechM Pune ShardaJob Title: Data Scientist - GenAI & AWSPosition Summary: Seeking a Data Scientist with expertise in leveraging Embedding Model and LLM for advanced NLP applications The ideal candidate will bring hands-on experience with embedding techniques, LLM integration, and AI/ML workflows Should be well versed with traditional AI/ML modelsKey Responsibilities:Model Integration: Implement and optimize workflows using Embedding and LLM for NLP tasks, ensuring high accuracy and performance Data Analysis: Analyze structured and unstructured data to identify patterns, extract insights, and design AI-driven solutions for business use cases Performance Evaluation: Test and evaluate model performance, tuning workflows and prompts for maximum effectiveness Documentation & Reporting: Maintain detailed project documentation and communicate insights, findings, and recommendations to stakeholders Skills:Technical Skills: Proficiency in AWS Bedrock Embedding Model, LLM, and related AI/ML tools and libraries AI/ML Expertise: Strong understanding of NLP, embeddings, pattern recognition, prompt engineering and AI/ML ModelsProgramming: Skilled in Python and API integration for AI/ML workflows Soft Skills: Excellent analytical, communication, and problem-solving abilities, with a focus on collaboration and stakeholder engagement Domain: Telecom Networks (esp Network Performance Management)

Job Title: Data Scientist - GenAI & AWSLocation-Bangalore / Pune / Hyderabad / Noida / Mumbbai / ChennaiPosition Summary: Seeking a Data Scientist with expertise in leveraging Embedding Model and LLM for advanced NLP applications The ideal candidate will bring hands-on experience with embedding techniques, LLM integration, and AI/ML workflows Should be well versed with traditional AI/ML modelsKey Responsibilities:Model Integration: Implement and optimize workflows using Embedding and LLM for NLP tasks, ensuring high accuracy and performance Data Analysis: Analyze structured and unstructured data to identify patterns, extract insights, and design AI-driven solutions for business use cases Performance Evaluation: Test and evaluate model performance, tuning workflows and prompts for maximum effectiveness Documentation & Reporting: Maintain detailed project documentation and communicate insights, findings, and recommendations to stakeholders Skills:Technical Skills: Proficiency in AWS Bedrock Embedding Model, LLM, and related AI/ML tools and libraries AI/ML Expertise: Strong understanding of NLP, embeddings, pattern recognition, prompt engineering and AI/ML ModelsProgramming: Skilled in Python and API integration for AI/ML workflows Soft Skills: Excellent analytical, communication, and problem-solving abilities, with a focus on collaboration and stakeholder engagement Domain: Telecom Networks (esp Network Performance Management)

Job Locations - Pune No. of Position - 1 As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we d like to ask you: Are you FIS What you will be doing: As an Employee Relations (ER) Advisor, you will be responsible for: Guidance and Compliance: Provide expert guidance to management on employee relations matters, ensuring compliance with employment laws and company policies. Investigation: Conduct thorough investigations into intricate, HR-related employee grievances and ethics cases, resolving conflicts and recommending appropriate actions. Consultation: Handle consultation actions such as TUPE, with external support for larger actions. Terminations: Handle sensitive, in-depth, and escalated involuntary terminations, with involvement in all involuntary exits in certain countries. Labor Relations (Applies, but not limited to Austria, Belgium, France, Germany, Luxembourg, Netherlands, Tunisia): Administer and facilitate work agreements between works councils, unions, employees, and managers. Support FIS Works Council leaders/presidents, draft proposals, and communicate between parties and unions as appropriate. Investigate complaints raised to the works councils. Manage workplace relationships between employees, management, and unions. Serve as a point of contact for labor inspections and queries. Training: Deliver training programs for managers and employees on employee relations topics, such as conflict resolution and effective communication. What you will need: Conflict Resolution/Negotiation: Ability to mediate disputes and negotiate agreements effectively. Knowledge of Employment Laws: In-depth understanding of local and international employment laws and regulations. Problem Solving: Strong analytical skills to identify issues and develop effective solutions. Empathy: Ability to understand and share the feelings of others, fostering a supportive work environment. Active Listening: Excellent listening skills to fully understand and address employee concerns. Communication Skills: Strong verbal and written communication skills to convey information clearly and effectively. Organizational Abilities: Exceptional organizational skills to manage multiple tasks and priorities efficiently. Strategic Oversight: Ability to provide strategic direction and oversight in employee relations matters. Compliance Expertise: Strong knowledge of compliance requirements to ensure adherence to laws and regulations. Employment Law Knowledge: Demonstrating a working knowledge of employment law. Microsoft Office Proficiency: Showing proficiency in Microsoft Office applications, such as Excel and Word. Confidentiality: Demonstrating an ability to work with confidential information. Market Awareness: Clear understanding of and strong focus on the external market, competitors, regulatory, and marketplace trends. Attention to Detail: Attention to detail, analytical/reasoning, interpersonal, organizational, and problem-solving skills. Cross-Functional Teamwork: Ability to work effectively in a cross-functional team environment. Data Analysis: Ability to draw accurate conclusions from raw data. Interpersonal Skills: Ability to interface with all levels of employees. Flexibility: Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment. Relationship Building: Ability to establish and maintain effective working relationships with employees, vendors, clients, and the public. Judgment and Business Acumen: Sound judgment, business acumen, influencing skills, and proactive approach to effectively address sensitive employee issues. Years of Experience: Minimum of 7 ye ars of progressive HR experience , with a strong emphasis on employee relations as the primary focus area. What we offer you: At FIS, you can learn, grow and make an impact in your career. Our benefits include: Flexible and creative work environment Diverse and collaborative atmosphere Professional and personal development resources Opportunities to volunteer and support charities Competitive salary and benefits

Job Location - Bangalore No. of Positions - 1 As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we d like to ask you: Are you FIS What you will be doing: As an Employee Relations (ER) Advisor, you will be responsible for: Guidance and Compliance: Provide expert guidance to management on employee relations matters, ensuring compliance with employment laws and company policies. Investigation: Conduct thorough investigations into intricate, HR-related employee grievances and ethics cases, resolving conflicts and recommending appropriate actions. Consultation: Handle consultation actions such as TUPE, with external support for larger actions. Terminations: Handle sensitive, in-depth, and escalated involuntary terminations, with involvement in all involuntary exits in certain countries. Labor Relations (Applies, but not limited to Austria, Belgium, France, Germany, Luxembourg, Netherlands, Tunisia): Administer and facilitate work agreements between works councils, unions, employees, and managers. Support FIS Works Council leaders/presidents, draft proposals, and communicate between parties and unions as appropriate. Investigate complaints raised to the works councils. Manage workplace relationships between employees, management, and unions. Serve as a point of contact for labor inspections and queries. Training: Deliver training programs for managers and employees on employee relations topics, such as conflict resolution and effective communication. What you will need: Conflict Resolution/Negotiation: Ability to mediate disputes and negotiate agreements effectively. Knowledge of Employment Laws: In-depth understanding of local and international employment laws and regulations. Problem Solving: Strong analytical skills to identify issues and develop effective solutions. Empathy: Ability to understand and share the feelings of others, fostering a supportive work environment. Active Listening: Excellent listening skills to fully understand and address employee concerns. Communication Skills: Strong verbal and written communication skills to convey information clearly and effectively. Organizational Abilities: Exceptional organizational skills to manage multiple tasks and priorities efficiently. Strategic Oversight: Ability to provide strategic direction and oversight in employee relations matters. Compliance Expertise: Strong knowledge of compliance requirements to ensure adherence to laws and regulations. Employment Law Knowledge: Demonstrating a working knowledge of employment law. Microsoft Office Proficiency: Showing proficiency in Microsoft Office applications, such as Excel and Word. Confidentiality: Demonstrating an ability to work with confidential information. Market Awareness: Clear understanding of and strong focus on the external market, competitors, regulatory, and marketplace trends. Attention to Detail: Attention to detail, analytical/reasoning, interpersonal, organizational, and problem-solving skills. Cross-Functional Teamwork: Ability to work effectively in a cross-functional team environment. Data Analysis: Ability to draw accurate conclusions from raw data. Interpersonal Skills: Ability to interface with all levels of employees. Flexibility: Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment. Relationship Building: Ability to establish and maintain effective working relationships with employees, vendors, clients, and the public. Judgment and Business Acumen: Sound judgment, business acumen, influencing skills, and proactive approach to effectively address sensitive employee issues. Years of Experience: Minimum of 10 years of progressive HR experience , with a strong emphasis on employee relations as the primary focus area. What we offer you: At FIS, you can learn, grow and make an impact in your career. Our benefits include: Flexible and creative work environment Diverse and collaborative atmosphere Professional and personal development resources Opportunities to volunteer and support charities Competitive salary and benefits