160 Statistical Analysis Jobs - Page 5

we're looking for a Process Development Engineer to join our team. As a Process Development Engineer, you will be responsible for developing and optimizing manufacturing processes for our medical injectors. Requirements Bachelors or Masters degree in Chemical Engineering or related field 3+ years of experience in process development and optimization Experience with statistical analysis and design of experiments Proficiency in process simulation software (Aspen Plus, COMSOL) Excellent problem-solving skills Excellent communication and collaboration skills

Job Description 1 Review of Study related documents (Protocol, IB, ICD, SAPs, Tables, Listings, Figures (TLFs), medical coding reports, CSR, etc. ) 2 Review of mock and final TFLs, AE/SAE data, clinical study reports 3 Preparation of regulatory briefing books, submission dossiers, etc. 4 Provide/support responses for Site/EC/Regulatory queries for ongoing clinical development products 5 Assessment of protocol deviations, assessment of ongoing safely and efficacy data, evaluation of SAEs, training of the operations team on therapy area and protocol etc. 6 Providing exclusive literature search for products under evaluation for deciding strategies 7 Provide support for literature search/ data required for statistical analysis 8 Provide support for evaluation of 505(b)(2) applications, creating clinical development strategy and plans for FDA, EMA, PMDA etc. 9 Preparing/Providing support for clinical designs in light of current knowledge /strategies 10 Able to mentor team and guide clinical development strategy, medical monitoring and biostatistical activities Work Experience 4-6 years Education Graduation in Medicine or Medicine Post Graduation in Pharmacology or Pharmacology Competencies

Summary: We are seeking a talented Machine Learning Engineer to develop efficient, data-driven AI systems that enhance our predictive automation capabilities. The ideal candidate will be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large datasets. Additionally, the candidate should be proficient in executing tests and optimizing machine learning models and algorithms. Role: As a machine learning engineer, your primary responsibilities include: Develop and implement data-driven ML predictive models to advance intelligent automation and reporting Assess, analyze, and organize large datasets to extract meaningful insights Execute tests to validate machine learning models and algorithms Optimize machine learning models for improved performance and accuracy Collaborate with cross-functional teams to integrate machine learning solutions into existing systems Monitor and maintain machine learning models to ensure ongoing accuracy and efficiency Research and stay updated on the latest advancements in machine learning and ML techniques and applications Document processes, methodologies, and model performance for transparency and reproducibility Troubleshoot and resolve issues related to machine learning model deployment and operation Mentor and provide technical guidance to junior engineers, sharing best practices and fostering a culture of continuous learning Qualifications Requirements: A bachelors degree or masters degree in computer science, data science, or a related field 5+ years of experience in machine learning, data engineering, or software development Strong programming skills and proficiency in languages commonly used for ML and related tasks Big Data skills and be proficiency in data structures, modeling, and visualization Proven background in statistical analysis and data analysis to support model training and evaluation Excellent communication skills for working with stakeholders and translating technical concepts Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with production-quality code Strong background in statistics, mathematics, and data science Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models at scale is a plus

What does s successful Project Manager Does? A successful Senior Project Manager at Fiserv will be instrumental in driving enterprise automation projects. This role involves developing detailed project plans, mentoring teams, engaging stakeholders, managing resources, and identifying and mitigating risks to ensure that all projects align with strategic objectives. What You Will Do: Project Planning and Management: Develop comprehensive project plans, including timelines, budgets, resources, and milestones. Ensure alignment of all activities with corporate goals and strategies. Continuously monitor project progress and adjust plans as necessary. Team Leadership and Coordination: Lead and mentor project teams, fostering a collaborative environment. Organize regular meetings to address concerns and provide constructive feedback. Clarify roles and responsibilities to ensure cohesive teamwork. Stakeholder Management: Engage with senior stakeholders to provide strategic updates and gather valuable feedback. Identify and mitigate significant risks throughout the project lifecycle. Ensure all deliverables meet Fiserv s rigorous quality standards. Resource Allocation: Secure necessary resources and optimize workflows for enhanced efficiency. Manage project budgets effectively to prevent overspending. Risk Management: Proactively identify potential risks and devise effective mitigation strategies. Implement contingencies to keep projects on track in the face of challenges. What You Will Need to Have: Education: Bachelor s or master s degree in computer science or a related field. Experience: 10+ years of proven experience leading delivery teams, particularly in implementing automation solutions. Technical Skills: Deep understanding of development and test automation technologies. Leadership Skills: Strong leadership and management skills, with experience in guiding cross-functional teams. Communication: Excellent communication skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders. What Would Be Great to Have: Industry Knowledge: Familiarity with the Banking and Payment domain is preferred. This position provides an excellent opportunity for a motivated leader to drive innovation in enterprise automation at Fiserv, while promoting a culture of collaboration and excellence. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

Role Purpose The purpose of the role is to provide timely, accurate and quality MIS reports, dashboards to the external & internal stakeholders of account(s) as per the defined process and standards of security and compliance Do Prepare timely and accurate MIS reports and dashboards as required by the stakeholders Interact and work closely with management, internal stakeholders & clients to understand the business information needs Ensuring all reports & dashboards are prepared as per stakeholder requirements as per the desired frequency (weekly/ monthly/ quarterly) Ensure regular review with the MIS Team Lead for 100% accuracy before populating any customized dashboard or generating any customized report Track and follow up with relevant stakeholder for timely updation and data management of parameters (key SLA metrics such as run-rate etc.) Generate account level reports (billable and non-billable) on forecasting, scheduling (both onshore and offshore) and performance against SLAs, CSAT, Quality etc. Ensure zero non-compliances on process audit on data security and compliance Support and adopt tools and systems for efficient MIS generation and reporting system Continuous support to the manager in rolling out new techniques and initiatives to increase productivity Providing update to the manager on the progress of any new MIS initiatives Perform periodic maintenance and servicing of MIS system to improve operational efficiency Adopt new tools, technology solutions and develop capability through training to improve own productivity. Develop analytical skills and understanding of statistical analysis to suggest improvement in the quality of analysis Deliver No.Performance ParameterMeasure 1.MIS Management and Reporting Quality of Analysis Zero errors in reports Zero non-conformance on timelines with respect to the client/ stakeholder requirements 2.Stakeholder Management Customised dashboards as per client and functional requirements Zero escalations on data reporting Zero non-conformance on security or compliance requirements 3.Team Management Team attrition %, Employee satisfaction score

We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of Data Analysis experience Strong knowledge of Python, R, or SQL Proficiency in data visualization tools (e. g. , Tableau, Power BI) Statistical analysis expertise. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of Data Analysis experience Strong knowledge of Python, R, or SQL Proficiency in data visualization tools (eg. Tableau, Power BI) Statistical analysis expertise Flexible hours Remote opportunity Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

ECMS Req # 526548 Role Sr. Consultant Number of Openings 1 Duration of project 6 Months No of years experience 8 to 10 yrs Detailed job description - Skill Set: 8+ years of experience in Database and Data warehouse tech (Azure Synapse/ADB, ADF/SQL Server/SAP HANA), Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, Spark, SQL Experience with Power Shell Scripting Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making Performs Data mining which provides actionable data in response to changing business requirements. Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics

As a Business Analyst of the worldwide Registration Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment. Key responsibilities: Develop a deep understanding of Registration and Verification teams data sources and know exactly how, when, and which data to use to solve particular business problems using Advanced SQL. Design, build and automate SQL reporting and dashboards to scale and support business needs Work with stakeholders to gather data and metrics requirements and drive analytics projects to help solve complex challenges. Design, implement, and support key datasets that provide structured and timely access to actionable business/product information. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present recommendations that will shape the future of the registration and identity verification Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact. Develop performance dashboards that encompass key metrics to be reviewed with senior leadership. Manage numerous requests concurrently and strategically, prioritizing when necessary. About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. - 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 - Statistical Analysis, Python

Role: To design and develop drivetrain parts of automotive e-transmission Responsibilities: Layout and packaging of transmission in vehicle Design and development of gear train parts for adapting motor/engine Design of forced lubrication system to meet motor cooling transmission lubrication requirement. Develop proto parts tooled up parts - concurrent engg. with supplier. Countermeasure to failures of driveline parts in testing. Analysis of market problems/NVH Assembly issues pertaining to transmission system (Pump, gear train, thermal system). Competency Requirements Technical/ Functional: CAD proficiency - Uni-graphics (mandatory) CAE Design: Gear Shaft, Bearing selection, Lubrication Cooling circuit Work experience of Gear design software (UG/ Kissoft/ Romax) Tolerance stack-up, GDT, Statistical analysis, BOM Management Understanding of thermal and hydraulic system design Understanding of production processes design for manufacturing Knowledge of problem-solving tools - FTA, DFMEA, QC tools Behavioral Self-motivated, flexible, and team-player Evidence of strong networking skills Good communication and presentation skills an initiator Specific expertise required for functional area Preferably have work experience in an OEM Good driving skills Willingness to travel

Brief: Seeking a skilled Research Analyst responsible for collecting, analyzing, and interpreting qualitative and quantitative data gathered through various research methodologies such as primary research surveys, interviews, focused group discussions, consumer immersions, or secondary research like analyzing documented industry findings, market reports, online publications, etc. Extract actionable insights to drive strategic decision making, optimize business operations, and streamline business processes. Responsibilities: Collecting data from primary and secondary data sources. Conducting research surveys, interviews, focused group discussions, consumer immersions, etc. Extracting relevant data from market reports, industry publications, and online databases. Analyzing the collected data to derive actionable insights to support informed decision-making for achieving organizational goals and objectives. Conducting user testing through visual designs, application prototypes, etc., to gauge user reactions, pain points, and customer feedback to enhance the customer journey and application adoption. Monitoring competitor activities/initiatives, industry trends, and consumer behaviors to support strategic decision-making and anticipate market shifts. Tracking market growth, consumer buying behavior, emerging technologies, and analyzing competitor product activities to identify potential opportunities and gain a competitive advantage. Presenting research insights to management teams and key decision-makers compellingly and engagingly. Contributing to developing strategic business plans, marketing initiatives, and product/service enhancements based on research insights. Requirements and Skills: Analytical Skills: Possess strong analytical skills to collect, interpret, and synthesize data from different sources. Quantitative Skills: Proficiency in statistical analysis tools and techniques to derive insights and make data-driven recommendations. Communication Skills: Excellent written and verbal communication skills for conveying research findings and insights to diverse audiences. Attention to Detail: A keen eye for detail to ensure accuracy and reliability in data collection, analysis, and reporting. Problem-Solving Abilities: Ability to approach complex business challenges logically and systematically to derive meaningful insights from data. Technology Proficiency: Familiarity with research software, statistical tools, and data visualization platforms.

About the Job We are seeking a Full Stack Developer to play a role in the design, development and special projects for the client. The selected candidate will be responsible for ensuring all software solutions and enhancements are fully tested, debugged, and meet product quality standards while being delivered on time and on budget. Additionally, the role requires to perform a continuous review of technologies, industry standards, and industry-related developments, and make recommendations regarding the need for further research and associated changes. As Full Stack Developer, You Will Work alongside a team of developers building tools to improve business operations and the lives of our global workforce Work in a fast-paced agile software development environment Develop applications that are used by thousands of people daily Interact with product stakeholders to show off your work and gain feedback Love technology and finding creative solutions to challenging problems As Full Stack Developer, You Have Must have at least 2 years of Angular specific experience At least 1 year of software development experience and/or recent graduate with a great attitude Experience with user interface design, database structures and statistical analysis is a plus Strong knowledge of web technology stacks Experience with automated testing an asset Creative problem solving skills Ability to meet aggressive deadlines and handle multiple and complex projects Excellent communication skills ,

Requirements and skills : Proven working experience as an Insurance Agent or relevant experience Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc) Basic computer knowledge and statistical analysis Proven ability to work with goals Demonstrated ability to communicate, present, influence and sell effectively Experience in delivering client-focused solutions and in creating long-lasting relationships Graduate Location: Kolkata,Ahmedabad,Nashik,Pune,Bengaluru,Chennai,Baroda, Delhi

Requirements and skills : Proven working experience as an Insurance Agent or relevant experience Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc) Basic computer knowledge and statistical analysis Proven ability to work with goals Demonstrated ability to communicate, present, influence and sell effectively Experience in delivering client-focused solutions and in creating long-lasting relationships Graduate Location- Kolkata,Ahmedabad,Nashik,Pune,Bengaluru,Chennai, Baroda, Delhi

Test Development: Design psychometrically sound assessments for various purposes, including educational and occupational settings. Data Collection and Analysis: Conduct statistical analyses to evaluate the reliability and validity of assessments. Report Generation: Generate reports, provide insights, and suggest recommendations based on test findings to various stakeholders. Research and Development: Stay updated with advances in psychometric theory and assessment methodologies and contribute to enhancing assessment tools and methodologies. Quality Assurance: Ensure the quality and accuracy of assessment materials and procedures. Collaborate with development teams, product managers, and other stakeholders to ensure a clear understanding of project requirements. Advanced degree in psychometrics, statistics, or a related field. Continued education and professional development in psychometrics. Expertise in statistical analysis methods and tools. Ability to interpret and apply statistical results to enhance assessment validity. Familiarity with test construction, validation, and standardization processes. Strong analytical and critical thinking skills to identify and address measurement challenges. Problem-solving ability in refining and improving assessment tools.

Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making . Performs Data mining which provides actionable data in response to changing business requirements. Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality. Owns technical implementation and documentation associated with datasets. Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality, performance, etc.) Provides post-implementation support and ensures the target project benefits are successfully delivered in a robust and sustainable fashion. Builds relationships and partners effectively with cross-functional teams to ensure available data is accurate, consistent and timely Independently manages expectations from stakeholders, optimally utilizes time for larger initiatives with minimal guidance on prioritization or dependencies Provides mentorship and guidance to peers and junior team members Mandatory Skills required to perform the job: Data Analysis & Statistical Analysis skills, experience in extracting information from databases, Office 365 Solid knowledge on Python. Experience in advanced Statistical techniques. Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Expert in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Excellent verbal and written communication & presentation skills, able to communicate cross-functionally. Expert in Reports & Dashboard development (Power BI) . Desirable Skills: Agile/SCRUM development using any tools. Understanding of enterprise server architecture, cloud platforms Ability to deliver training and presentations in the area of expertise Good understanding of business processes and experience in Manufacturing/Inventory Management domains Data Analyst, Data Warehouse, Azure Synapse

Well known to calibrate the sophisticated Lab Instruments Monitoring the Lab activities on daily basis Familiar with Quality statistical analysis Validation of production Activities Familiar Regulation ( National & International)Of Pet Resins Handling of manpower Familiar with ISO Documentations Report generation Familiar with requirements of Documents of customers requirements Familiar with Pepsi , Cock & Nestle approval Deep Knowledge in PET Resins manufacturing process Familiar with Down Stream production Trouble Shouting of Instruments * B.Sc.-Chemestry/Polymer Science or Diploma-Chemical

2-4 years of experience in designing, developing, and training machine learning models using diverse algorithms and techniques, including deep learning, NLP, computer vision, and time series analysis. Proven ability to optimize model performance through experimentation with architectures, hyperparameter tuning, and evaluation metrics. Hands-on experience in processing large datasets, including preprocessing, feature engineering, and data augmentation. Demonstrated ability to deploy trained AI/ML models to production using frameworks like Kubernetes and cloud-based ML platforms Solid understanding of monitoring and logging for performance tracking. Experience in exploring new AI/ML methodologies and documenting the development and deployment lifecycle, including performance metrics. Familiarity with AWS services, particularly SageMaker, is expected. Excellent communication, presentation, and interpersonal skills are essential. Good to have: Knowledge of GenAI (LangChain, Foundation model tuning, and GPT3) Amazon AWS Certified Machine Learning - Specialty certifications Explore different models and transform data science prototypes for given problem Analyze dataset perform data enrichment, feature engineering and model training Abale to write code using Python, Pandas and Dataframe APIs Develop machine learning applications according to requirements Perform statistical analysis and fine-tuning using test results Collaborate with data engineers & architects to implement and deploy scalable solutions. Encourage continuous innovation and out-of-the-box thinking. Experience applying theoretical models in an applied environment.

We seek a Tableau and Salesforce Analytics Analyst for Senior level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Location - Bangalore/Pune/Indore/ Ahmedabad/Hyderabad What will help you succeed: CRM Analytics administration Data analysis Salesforce Analytics Query Language (SAQL) Einstein Discovery Statistical analysis.

FarmwiseAI is an AgriTech company leveraging AI-driven solutions to optimize farm management, empowering farmers with data-driven insights for sustainable agriculture. We seek a Senior Data Scientist to drive AI/ML initiatives, collaborating with cross-functional teams to develop AI-powered solutions. Responsibilities include developing and optimizing ML models for predictive analytics and image processing, working with large agricultural datasets such as satellite and drone data, deploying models into production, ensuring scalability, staying updated on AI/ML advancements, and mentoring junior team members. Candidates should have a Masters or PhD in Data Science, Computer Science, or a related field, with 5+ years of experience in AI/ML and at least 2 years in a leadership role. Technical skills required include Python, TensorFlow, PyTorch, Scikit-Learn, and experience with cloud platforms (AWS/GCP/Azure), with GIS knowledge being a plus. Strong problem-solving, communication, and leadership skills are essential.

What youll be doing... Were looking for you to bring the latest and greatest features to our customers-and to help us tell the marketplace about whats new and why they need to have it. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. Collaborating with others, youll build the roadmap and drive the process from ideation through design and roll-outand build compelling value messages along the way. Your focus will be on AI products, features, and services that solve customer challenges and help make peoples lives better. This role requires a clear understanding of AI with a strong B2B acumen, committed to driving key business outcomes through data. Understanding and anticipating market needs. Define and communicate the product vision and strategy for AI features in our products, ensuring alignment with the companys overall goals and objectives Stay informed about the latest AI trends and identify potential applications for the business Defining requirements and leading the team through design and development. Building the business case, getting internal consensus, and defining product roadmaps. Forging strong relationships across the organization to get it all done. Tracking success metrics and communicating results to management. What were looking for Understanding what customers will want next is your driver. You are creative but balance that with your practical business side. You can juggle several projects with tight deadlines and not drop any ballswhile also keeping your eye on the big picture. An environment with lots of competing priorities and new challenges every day is where you thrive. With a knack for working with different types of people, you inspire others to do their best work and carry out your vision. You'll need to have: Bachelors degree or relevant work experience. Seven to ten years of relevant work experience. Good understanding of AI concepts, ML model architectures and computational requirements E-commerce experience. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Experience in improving customer experience. Experience in enterprise digital analytics, with a strong preference for B2B industry experience. Demonstrated ability to work independently as a self-starter and lead cross-functional teams. Strong communication skills with the aptitude to convey complex data concepts in business terms. Even better if you have one or more of the following: Extensive experience with data modeling, statistical analysis, and predictive analytics. A strategic thinker with a proven record of leveraging analytics for business growth and transformation. Knowledge of design thinking. Digital experience, digital marketing and digital product management either in a business, agency or consulting organization. Managed complex projects with shifting priorities, demands, and stakeholders. Ideally, with cross-functional teams and agencies. Passion for innovation and a commitment to driving business value through technology.

Required Skills Technology | Statistical Analysis Tool / Software | Excel Education Qualification : Any Graduate Certification Mandatory / Desirable : Technology | IT Certifications | HDI Certification | ITIL Foundation Details: Hardware and Network: a. Understand issues from user perspective and reach out to appropriate resolver groups b. Decode the error /alarm status, understand the failed unit / device and provide hands and feet support in resolution through strong hardware and networking troubleshooting techniques. Switching: a. Carry out Standard Configuration on Switch according to the template. b. Carry out VLAN Mapping to IP Address using SVI, Vlan Interfaces, Port mapping, Port security, Perform Port Aggregation and Link Configuration: Access / Trunk. Routing: a. Troubleshoot Routing issues(EIGRP/OSPF), Over-Utilization, Reachability, VPN connectivity. b. Apply standard SOP based Configurations on routers. (AAA, TACACS, Radius, Banner Standard access-list, GRE, VPN Configurations) WLAN: a. Troubleshoot WAP isolation issues, authentication issues and Validate with CAP WAP messages. b. Carry out configuration such as group Creation, access-control and documented Changes Network Management Tools: a. Troubleshoot MACD failures. b. Monitor and report capacity breach status (such as license). c. Monitor health status as defined in SOP Technical Skills: - Network Components and Devices - Switches, Soft Switches, Multi-layer Switches - Routers, Bridge Routers - Wireless Access Points (WAPs), Wireless Network Interface Controller - PBX Behavioural Skills: Email Communication, Presentation, Public Speaking

Our Team: Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main responsibilities: The Senior Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations biostatistics and programming personnel to implement statistical analysis plans and provide QC d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, manuscripts and ad-hoc data analysis requests) ;The Senior Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques; The Senior Statistical Programmer will ensure SOPs are followed and timelines and quality are met. People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or programming team members within the allocated Global business unit and product - with an objective to develop statistical data outputs. Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data and/or registry. 2) Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS. 3) Produce well documented data packages that include tables, listings, and figures. 4) Remain current on advanced programming methods Customer: 1) Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables About you Experience : Masters degree minimum 4 years/B.Sc. minimum 6 years of relevant experience required Soft skills : Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment Technical skills : Advance SAS programming skills, SDTM & ADaM (CDISC) Education : Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. Languages : Excellent English language knowledge - written and spoken

BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure youre set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: Experience with Agile methodology, use of Atlassian products Jira, Confluence) CI/CD (Jenkins) environment with popular DevOps tools CA-DNP

We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 2 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.