15173 Data Analysis Jobs - Page 20

As a Senior Engineer at Mahindra & Mahindra Ltd within the Automotive Division, you will be pivotal in ensuring the safety of our vehicles through rigorous planning and validation procedures. Your responsibilities will include: Safety Validation Plan preparation: Drafting comprehensive vehicle-level safety validation time plans, aligned with the overall vehicle development plan and tailored to meet specific project safety targets. Creating detailed Vehicle Level Safety Design Verification Plans (DVP) to guide safety development across various project phases. Gaining exposure to safety budget preparation, enhancing the capacity for efficient resource allocation. Safety Benchmarking & Concept Evaluation: Conducting thorough benchmarking assessments focused on safety considerations. Providing timely insights regarding safety parameters, including restraint configurations and specifications for front-end spaces and sub-systems like seating systems, steering columns, and bumpers. Safety Testing and Validation: Preparing specifications for crash tests and collaborating with project teams to support the test vehicle build process. Coordinating safety validation tests and conducting thorough analysis of test data, generating reports that include actionable improvement plans. AIRBAG ECU Calibration: Applying expertise in airbag ECU calibration to enhance vehicle safety systems. CAD Capability: Utilising CAD tools, with a brief exposure to design and drafting in Catia V5 R21, to support the development of safety features. Vehicle Safety Performance: Conduct system-level and vehicle-level crash testing and maintain compliance with safety protocols including AIS, NCAP, and ECE safety regulations. Analyse safety testing data and contribute to restraint systems analysis and integration. Experience To be successful in this role, the candidate should possess: A minimum of 5-6 years of experience within the automotive industry, demonstrating a solid understanding of vehicle safety tests and restraint tuning. In-depth knowledge of vehicle-level DVP for safety development. Familiarity with the airbag ECU calibration process and associated methodologies. Proficiency in using safety test data analysis tools such as Diadem, PC Crash, and Motion View for effective evaluation and reporting. Experience with Catia V5, including solid modelling, surfacing, assembly, and drafting capabilities. Experience in Teamcenter Engineering for effective product lifecycle management. Understanding of GD&T (Geometric Dimensioning and Tolerancing) and tolerance stack-up principles. Industry Preferred We strongly prefer candidates from the following industries: Automotive Original Equipment Manufacturers (OEMs). Tier 1 Suppliers known for their contributions to vehicle safety systems and innovations. Qualifications Ideal candidates will possess the following qualifications: Bachelors or Masters degree in Mechanical or Automotive Engineering (BE-Mech/Auto || ME-Mech/Auto) from a recognised institution. A strong academic foundation complemented by practical experience in the automotive safety domain. General Requirements Candidates should meet the following general requirements: Ability to work effectively as part of a cross-functional team (CFT), demonstrating strong collaboration skills. A keen willingness to learn and adapt in a fast-paced environment. Excellent communication skills to articulate technical concepts clearly and concisely. Strong analytical abilities, enabling effective problem solving and decision-making in complex scenarios.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements 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. Bachelor s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months. As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements 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. Bachelor s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content

The Retail Business Services (RBS) group is an integral part of Amazons online product life-cycle and supports buying operations. The team s primary role is to support the creation and enhancement of retail selection on the worldwide Amazon online catalog. The tasks handled by this group can impact online user experience. The successful Subject Matter Expert is a problem-solver, mentor and communicator with expertise in process optimizations and systems thinking. You will engage directly with multiple internal teams to drive business projects for the RBS team. You will utilize a wide range of skills and work on operational quality to independently drive the performance improvement projects. In this role you will be focused on improving the experience and satisfaction of Amazon customers (vendors/vendor managers/end customer), root cause analysis of issues and opportunities affecting the business. 1. Develop strategies for continuous improvement in process and customer quality. 2. Strengthen the existing process by ensuring identification of automation and upstream defect elimination opportunities. 3. Drive process excellence initiatives, drive Kaizen events and work on new automation / solution building projects 4. Able to drill into large amounts of data and extract meaningful business metrics. 5. Perform data analysis on trends observed and recommend solutions to the product and Business teams 6. Collaborate with partner teams and stakeholders across the globe to deliver on key business goals and objectives by driving consensus and building trust 7. Demonstrates the ability to dive deep into a problem, perform root cause and corrective actions to avoid defect reoccurrence. 8. Establishes key reports for functional area 9. Able to write , well-structured and detail-oriented documents in a clear, concise and audience-specific format The candidate is/has: 1. Aptitude and interest for Upstream Defect Elimination. 2. Ability to identify, prioritize and coordinate work streams as necessary including prioritizing, scheduling, time management, and meeting deadlines 3. High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision About the team The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience. Experience using data to influence business decisions 1+ years of interacting with customers/stake holders experience Bachelors degree Knowledge of MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience working in e-commerce / retail / supply chain / financial services business Knowledge of SQL or Python

Role Overview: We are seeking an experienced Manager - Indirect Procurement Centralization to lead and manage the centralization of the procurement function across Mahindra group companies. This is a critical role that involves working closely with senior leadership, key functional leaders, and other stakeholders to drive efficiency, optimize spend, and ensure compliance within procurement processes. The ideal candidate will have a strong consulting background with procurement experience, demonstrating expertise in data analysis, process streamlining, policy enforcement, communication management, and driving change. You will oversee and provide leadership to ensure successful implementation and adoption of centralized procurement processes. Key Responsibilities Procurement Centralization: Collaborate with senior leadership and functional leaders to centralize procurement activities across the group companies, ensuring consistent processes, cost-saving opportunities, and compliance with company policies. Spend Cube Development: Provide necessary support in developing a comprehensive spend cube across all indirect spend categories and group companies. Spend Analysis: Analyze and interpret complex spend data to identify opportunities for centralization, cost optimization, and better procurement practices. Process & Policy Management: Ensure proper understanding and adherence to procurement processes and policies, implementing changes as necessary. Training & Change Management: Develop and execute training programs for procurement teams and relevant stakeholders. Lead the communication and change management efforts to ensure smooth adoption of the centralized function. Reporting & Analytics: Regularly track and report on procurement performance, spend data, savings initiatives, and centralization progress. Develop and maintain procurement metrics and dashboards to track performance and drive decision-making. Stakeholder Engagement: Build and maintain relationships with senior leadership and stakeholders across different business units to drive alignment and ensure successful implementation. Presentation: Prepare and present regular updates, recommendations, and strategic insights to senior leadership. Experience Minimum of 5-10 years of experience in procurement, with significant experience in managing indirect categories. Industry Preferred Qualifications Education Bachelor s degree in engineering / science / commerce / business administration Master s degree in management / operations / supply chain management General Requirements Core Skills Critical thinking, analytical reasoning, problem solving, communication, presentation, influencing skills, project management

Conduct reliability and failure mode analysis for truck E&E systems, components, and sub-systems. Develop and execute test plans to evaluate the durability, performance, and lifecycle of E&E components. Utilize Excel and other tools to track, analyze, and visualize test data. Perform data analysis of test results and field failure data to identify improvement areas. Use statistical methods to predict product performance and lifespan, and create reliability models. Evaluate the warranty life and help business team for evaluating warranty life, AMC cost etc basis reliability data. Experience Education: Bachelor s degree in E&E Engineering, Automotive Engineering, or a related field. A Masters degree is desirable. Experience: Minimum of 7-10 years of experience in reliability engineering, with a focus on E&E systems, automotive systems, or similar products. Experience with E&E design, testing, and durability evaluation. Proven experience with DVP preparation and evaluating components during the design and validation phases. Industry Preferred Qualifications General Requirements Excellent problem-solving and analytical thinking. Strong communication skills, both written and verbal. Ability to work collaboratively with multi-disciplinary teams. Detail-oriented and capable of handling complex technical issues

Take on a role with great career development potential and hone your business management expertise as you work with business leaders Youll be supporting the leadership team to deliver our business strategy and make sure that the operating rhythm is defined and managed effectively Join a team with a collaborative ethos and a commitment to innovation and professional development What youll do In this role youll be supporting the leadership team to plan ahead and deliver our business strategy in line with our long-term goals. Youll also be supporting and implementing bank-wide, divisional and business activities, and engagement agendas such as pay, leadership team operating rhythms and the creation of papers and executive reporting. Your responsibilities will include: Making sure performance and business management activities are aligned to the broader bank-wide strategic agenda Supporting areas across the bank in the planning and management of business support activities, projects and processes People planning, including capability, engagement and communications Reviewing relevant MI and providing analysis of data Financial and headcount reporting, including the overview of monthly cost report checking, monthly forecasting, budget setting, and cost control initiatives The skills youll need Were looking for someone with experience of working in a leadership support or business management role. Youll additionally need reasonable knowledge of the customer business, key services and how it interacts with the rest of our business. Well also look to you to demonstrate: Experience of working on multiple business initiatives Strong analytical skills and the ability to use information to develop creative solutions that bring tangible value Strong problem-solving skills The candidate should have minimum 5+ years of experience in data analysis, managing/coordinating events, Tableau Must possess knowledge about banking

Amazons Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Senior Financial Analyst to support our JP Retail Finance team. The role is for a Sr. Financial Analyst in FP&A team within Amazons GFS vertical. The candidate would be responsible for financial close and performing related reporting, accruals etc. Additionally, the role would support monthly P&L analysis, perform financial reporting and forecasts, use financial systems and advanced MS Excel functions to work with large data sets, and perform headcount reporting, planning and forecasting. Additional responsibilities would include establishing, measuring and monitoring weekly KPI metric discussions for new and/or existing business initiatives and operational performance and assisting in measuring and reporting progress on key goals for the business team in a timely and accurate manner. The candidate would also perform ad-hoc business analyses and financial modeling, provide inputs for monthly and quarterly business reviews in a timely manner, facilitate business reviews with data analysis, facilitate financial review meetings with business groups and work with business managers to ensure effective finance and cost management, partner with stakeholders to develop strategic multi-year or long term operating plans, challenge processes, identify and implement solutions to resolve, improve, automate, standardize, or simplify finance processes, and identify incomplete or inaccurate data, root cause of data issues, escalate discrepancies, fix data where possible or partner to deliver a solution. 4+ years of tax, finance or a related analytical field experience CPA, or MBA 4+ years of building financial and operational reports/data sets that inform business decision-making experience Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

Design, develop, and test embedded systems for power electronics and drives applications using C++ and Verilog HDL Develop and simulate FPGA-based systems using Xilinx Spartan 6 and ISE simulator Use MATLAB Simulink and Xilinx System Generator to simulate and test embedded systems Write and debug code for FPGA and DSP platforms Develop basic GUI applications using C++ for data visualization and user interaction Design, assemble, and test electronic circuits, including debugging and troubleshooting Implement serial data communication protocols for data transmission and reception Collaborate with the project team to integrate embedded systems with wind turbine and electric machine applications Document and maintain project code, including writing technical reports and presenting project updates Work Experience Masters or Ph.D. in Power Electronics and Drives (or related field) Strong understanding of C++ programming, including basics, structures, and classes Experience with Visual Studio and C++ development Proficiency in FPGA development using Verilog HDL and Xilinx Spartan 6 Experience with ISE simulator and MATLAB Simulink using Xilinx System Generator Familiarity with MATLAB scripting and data analysis Understanding of embedded system design, development, and testing principles Experience with GUI development using C++ Knowledge of electronic circuit design, assembly, and testing, including debugging and troubleshooting Understanding of serial data communication protocols and implementation Basic understanding of wind turbine and electric machine applications is a plus

Professional Leveling Guide consists of jobs with a professional nature that require learned knowledge most often attained through advanced education and experience. This can include business and/or clinical professionals. Market Summary Identifies and drives the execution of customer requirements and critical projects while supporting the sales and account management teams. Performs through data analysis that contribute to sound decisions. Promotes customer satisfaction, critical project/process management and improvement involving multiple resources. Impact May manage projects and processes, working independently with limited supervision. Makes decisions on moderately complex to complex issues regarding technical approach for project components. Often operates in ambiguous situations. Communication Interacts with internal stakeholders within own department and departmental management, as well as external stakeholders which may include clients and customers. Influences internal and external parties, who regularly have divergent interests, to achieve short-term national and project objectives; represent the organization within area of responsibility. Innovation Modifies existing methods, techniques and/or processes across job areas. Problems and issues faced are in general difficult, and sometimes complex. Knowledge In-depth knowledge and expertise in own discipline combined with good understanding of market practice required. Typically requires: - a bachelors degree and 5-8 years of experience

Man cost control by improving productivity on line.Cost Reduction (scrap + consumable + man.Departmental Budget planning and monitoring.SPR improvement > 90.Defects data analysis and countermeasures.Market complaint Analysis, Resolution and Monitoring.Leading the Assembly manufacturing team to accomplish the control of PQCDSM.Delivery of products as per plan.Coordinate with different departments such as internal / external and vendor for improvements.New product establishment and implementation of mass production.Adhere training schedule (workers and staff.Daily Man management by closing all conflicts and disagreements.Inspiring team of workers and reviewing the work / performance of subordinates.Gap analysis of production loss, quality loss and breakdown.Synchronization of parts for different models Preferred Industries Manufacturing Education Qualification Bachelor of Engineering; Bachelor of Engineering in Electrical and Electronics; Bachelors of Technology in Electrical and Electronics; Bachelor of Engineering; Bachelors of Technology General Experience 3-7 Years Critical Experience System Generated Core Skills System Generated Secondary Skills

Business Intelligence (BI) Data Analysis work includes: Analyzing business intelligence data to inform business and product decisions Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Business Intelligence (BI) Data Analysis work includes: Analyzing business intelligence data to inform business and product decisions Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Business Intelligence (BI) Data Analysis work includes: Analyzing business intelligence data to inform business and product decisions Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Business Intelligence (BI) Data Analysis work includes: Analyzing business intelligence data to inform business and product decisions Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Business Intelligence (BI) Data Analysis work includes: Analyzing business intelligence data to inform business and product decisions Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Business Intelligence (BI) Data Analysis work includes: Analyzing business intelligence data to inform business and product decisions Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

An Application Engineer designs, develops, and tests software applications, often working directly with clients to understand their needs and provide customized solutions.

Hiring For Top IT Company- Designation: Data Analyst Skills : Data analytics with SQL(Scripting & Development) Location : Hyd/Gurugram Exp: 6+ yrs Call : 6377522517 7240017049 9982845569 Apply to:conversedataanalyst@gmail.com Team Converse

Representing the client's or organisation's interests. Providing advice on the management of projects. Organising the various professional people working on a project Carrying out risk assessment Making sure that all the aims of the project are met

Job Title: Sr Manager Health Insurance Claims Location: Bangalore (Hybrid) Company: Pazcare Type: Full-time About Pazcare Pazcare is transforming employee healthcare and wellness for 2000+ companies including Mamaearth, Chaayos, Mindtickle, and more. We simplify health insurance and wellness benefits, giving HR teams superpowers through real-time claim tracking, analytics, and stellar employee experiences. Role Overview As a Claims Manager, you will be the frontline owner of ensuring claims are settled within the agreed turnaround time (TAT) across TPAs. You will play a critical role in driving TPA performance, resolving escalations, and advocating on behalf of our clients to ensure no valid claim is wrongly repudiated. Key Responsibilities Ensure all reimbursement and cashless claims are processed within the committed TAT across clients. Track, analyze, and manage TAT performance of multiple TPAs; escalate and hold them accountable for delays or service gaps. Reopen wrongly repudiated claims with TPAs/insurers and fight for fair resolution on behalf of clients. Collaborate closely with the customer success and insurance teams to address claim escalations proactively. Drive continuous process improvement in claims handling and communication workflows. Maintain internal dashboards and reports to track SLAs and spot trends. Requirements 3+ years of experience in health insurance claims (TPA/insurance broker/insurer preferred). Strong understanding of reimbursement, cashless claim processes, and IRDAI guidelines. Assertive communicator with negotiation skills to handle TPAs and insurers. Analytical mindset with ability to identify patterns in delays or rejections. Empathy for the end user the employee or HR dealing with a health issue. Why Join Pazcare? Work with a mission-driven, fast-growing team redefining how India experiences employee health benefits. Ownership of high-impact outcomes and the opportunity to shape the future of claims at scale. Be part of a culture that values transparency, speed, and customer-first thinking.

we are seeking a detail- oriented and motivated civil engineer to oversee and manage design, planning, and execution of structural and infrastructure projects . Required Candidate profile should have strong understanding of construction methods, materials, and site safety. Ability to manage time effectively andlead field teams .

Managing end-to-end logistics of Coal Inbound and outbound logistics Manage third party logistics Optimize shipping routes and delivery schedules Track shipments Compliance with customs Analyze sales data Inventory levels Required Candidate profile Experience in Coal end to end Logistics Mandatory Location Kolkata

DISPLAY - KNOWLEDGE, EXPERIENCE Education qualification Bachelors degree in Engineering, Computer Science, Data Science, Information Systems, or a related field. Overall Experience* Fresher or Relevant manufacturing industry experience Mandatory Experience* 1.Understanding of statistical methods and basic analysis techniques. 2. Knowledge of data visualization tools 3. Basic understanding of data cleaning and preprocessing techniques. 4. Good problem-solving skills and attention to detail. 5. Strong communication skills, both verbal and written, to explain data findings clearly. 6. Eagerness to learn new data analysis techniques and tools. OBJECTIVE OF THE ROLE* To creatively execute designs and drawings of all jobs/projects in timely manner. ACCOUNTABILITIES OF THE ROLE Responsibility 1. Assist in collecting, cleaning, and organizing data from various sources. 2. Help in performing basic data analysis, identifying trends, patterns with outliers and give meaningful insight to management on the same. 3. Support in creating data visualizations and reports to communicate insights to the team. 4. Assist in preparing dashboards and presentations to present data findings. 6. Collaborate with team members and assist in gathering data requirements for projects. 7. Help in maintaining and updating data systems, ensuring data is properly structured for analysis. 8. Learn and apply data analysis tools and techniques as part of on-the-job training.

Hiring, Sustainable, Client and Regulatory Reporting Data Product Owner - ISS Data (Associate Director) About your team The Technology function provides IT services that are integral to running an efficient run-the business operating model and providing change-driven solutions to meet outcomes that deliver on our business strategy. These include the development and support of business applications that underpin our revenue, operational, compliance, finance, legal, marketing and customer service functions. The broader organisation incorporates Infrastructure services that the firm relies on to operate on a day-to-day basis including data centre, networks, proximity services, security, voice, incident management and remediation. The Technology group is responsible for providing Technology solutions to the Investment Solutions & Services business (which covers Investment Management, Asset Management Operations & Distribution business units globally) The Technology team supports and enhances existing applications as well as designs, builds and procures new solutions to meet requirements and enable the evolving business strategy. As part of this group, a dedicated Data Programme team has been mobilised as a key foundational programme to support the execution of the overarching Investment Solutions and Service strategy. About your role The Investment Reporting Data Product Owner role is instrumental in the creation and execution of a future state data reporting product to enable Regulatory, Client, Vendor, Internal & MI reporting and analytics. The successful candidate will have an in- depth knowledge of all data domains that represent institutional clients , the investment life cycle , regulatory and client reporting data requirements. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned with our cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our internal business stakeholders and our clients. Key Responsibilities Leadership and Management: Lead the ISS distribution, Client Propositions, Sustainable Investing and Regulatory reporting data outcomes defining the data roadmap and capabilities and supporting the execution and delivery of the data solutions as a Data Product lead within the ISS Data Programme. Line management responsibilities for junior data analysts within the chapter, coaching, influencing and motivating them for high performance. Define the data product vision and strategy with end-to-end thought leadership. Lead and define the data product backlog , documentation, enable peer-reviews, analysis effort estimation, maintain backlog, and support end to end planning. Be a catalyst of change for driving efficiencies, scale and innovation. Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering. Coordination and Communication: Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps. Coordinate with internal and external teams to communicate with those impacted by data flows. An advocate for the ISS Data Programme. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. About you The Investment Reporting Data Product Owner role is instrumental in the creation and execution of a future state data reporting product to enable Regulatory, Client, Vendor, Internal & MI reporting and analytics. The successful candidate will have an in- depth knowledge of all data domains that represent institutional clients , the investment life cycle , regulatory and client reporting data requirements. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned with cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our internal business stakeholders and our clients. Key Responsibilities Leadership and Management: Lead the ISS distribution, Client Propositions, Sustainable Investing and Regulatory reporting data outcomes defining the data roadmap and capabilities and supporting the execution and delivery of the data solutions as a Data Product lead within the ISS Data Programme. Line management responsibilities for junior data analysts within the chapter, coaching, influencing and motivating them for high performance. Define the data product vision and strategy with end-to-end thought leadership. Lead and define the data product backlog , documentation, enable peer-reviews, analysis effort estimation, maintain backlog, and support end to end planning. Be a catalyst of change for driving efficiencies, scale and innovation. Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering. Coordination and Communication: Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps. Coordinate with internal and external teams to communicate with those impacted by data flows. An advocate for the ISS Data Programme. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. Your Skills and Experience Strong leadership and senior management level communication, internal and external client management and influencing skills. At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry. 5-10 years as a data product owner adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. Outstanding knowledge of Client life cycle covering institutional & wholesale with a focus on CRM data, Transfer agency data. Very good understanding of the data generated by investment management processes and how that is leveraged in Go-to market capabilities such as client reporting, Sales, Marketing. Excellent knowledge of regulatory environment with a focus on European regulations and ESG specific ones such as MIFID II, EMIR, SFDR. Work effortlessly in different operating models such as insourcing, outsourcing and hybrid models. Automation mindset that can drive efficiencies and quality in the reporting landscape. Knowledge of industry standard data calcs for fund factsheets, Institutional admin and investment reports would be an added advantage. In Depth expertise in data and calculations across the investment industry covering the below. Client Specific data: This includes institutional and wholesale client, account and channels data, client preferences and data sets needed for client analytics. Knowledge of Salesforce desirable. Transfer Agency & Platform data: This includes granular client holdings at various levels, client transactions and relevant ref data. Knowledge of role of TPAs as TA and integrating external feeds/products with strategic inhouse data platforms. Investment data: This includes investment life cycle data covering data domains such as trading, ABOR, IBOR, Security and fund reference. Should possess Problem Solving, Attention to detail, Critical thinking. Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms. Knowledge of data management, data governance, and data engineering practices Hands on experience with data modelling techniques such as dimensional, data vault. Willingness to own and drive things, collaboration across business and tech stakeholders.