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logistics analyst

Valeo

<div>
 Highlight the main responsibilities
 
 
 <ul>
 <li>
 Is in charge of the inventory level of his raw materials and components families :
 
 
 </li>
 </ul>
  Follow up the MPS achievement and propose preventives actions regarding material availibity to ensure MPS realization.
 
 
  Is responsible for setting up a proper raw materials and components inventory levels.
 
 
  Define and lead actions connected with inventory reductions with his components families.
 
 
  Measure the Supplier Service Rate &ndash; SSR - for each supplier. Propose action plans to improve the service level.
 
 
  Follow up and report daily the inventory level of his raw material and components families.
 
 
 <ul>
 <li>
 Make sure that the materials and components are available to meet the complete customer demand :
 
 
 </li>
 </ul>
  Plan the raw materials and components requirement based upon Sales, Inventory and Operations Planning and Master
 
 
 Production Schedule and anticipate potential impacts with suppliers and with production.
 
 
  Validate and send on a weekly basis forecasts to the suppliers
 
 
  Make sure that raw materials and components are available to met customer demand
 
 
  Follow up daily the material arrivals according to firm orders and make sure suppliers ship parts on time according to
 
 
 firm orders.
 
 
  On a regular basis, communicate complete, precise &amp; reliable information to the Supplier contacts. Adapt the chosen
 
 
 method of communication to the level of the Supplier contact. Adapt the frequency to the situation (preventative,
 
 
 curative, crisis).
 
 
 <ul>
 <li>
 Identify blocking points and plan appropriate quick actions to solve them :
 
 
 </li>
 </ul>
  Attend Logistics/Purchasing meetings and follow up related action plans.
 
 
  Support the implementation with the appropriate departments (APU, Logistics, Purchasing, VPS) tools and methods in
 
 
 order to improve the supply chain organization like Pull flow, Kanban, EDI, Milk run.
 
 
  Define with the External flow analyst the inbound transportation plans.
 
 
  Support actively the inventory counting and propose actions to maintain accuracy of inventory in cooperation with the
 
 
 ERP and inventory control analyst.
 
 
  Alert sales in the event of a crisis (Customer or internal), to define priorities with the Customer &amp; internally
 
 
 (management, VS for the aftermarket), follow the evolution of any associated action plans. If necessary, escalate.
 
 
  Meet the Suppliers contacts on a regular basis (once a year for major Suppliers).
 
 
  Propose logistics protocol with suppliers in co-operation with External flow analyst and Purchasing.
 
 
  Make sure that there is a backup for each Suppliers &amp; train the backup on the way to manage the Suppliers&rsquo; account;
 
 
 ensure that during holidays the position is covered &amp; that both suppliers and internal customers are notified in advance
 
 
 of the absence and informed of the person that will be temporarily managing the Suppliers&rsquo; account.
</div>

Sr. Executive / Asst. Manager - Logistics (Supply Chain Scheduler)

Valkyrie People Consulting

<div>
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Pune, India
 
 
 
 Industry:
 
 Automotive
 
 
 
 Experience:
 
 3+ years of experience in data analysis, preferably within the automotive or manufacturing sector.
 
 
 
 Position Overview:
 
 
 
 The Data Analyst will be responsible for gathering, analyzing, and interpreting data to help the automotive company improve its operations, optimize supply chains, enhance customer satisfaction, and make informed business decisions. This role requires a strong background in data analysis techniques and tools, as well as a solid understanding of the automotive industry. The Data Analyst will work closely with cross-functional teams, including operations, marketing, sales, and finance, to provide insights that drive business performance and efficiency.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, clean, and manage data from various sources, including production data, sales data, customer feedback, and supply chain metrics.
 </li>
 <li>
 
 Data Analysis:
 
 Analyze large datasets to identify trends, patterns, and correlations. Use statistical tools to interpret data and provide actionable insights for process improvement and business decisions.
 </li>
 <li>
 
 Performance Monitoring:
 
 Develop and monitor key performance indicators (KPIs) related to production efficiency, sales performance, customer satisfaction, and other business operations.
 </li>
 <li>
 
 Reporting &amp; Visualization:
 
 Create clear and concise reports, dashboards, and visualizations to communicate findings to business leaders and stakeholders.
 </li>
 <li>
 
 Predictive Analytics:
 
 Use predictive modeling and machine learning techniques to forecast demand, optimize inventory levels, and identify potential issues in production or supply chains.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with production, supply chain, sales, and marketing teams to identify opportunities for efficiency improvements and support data-driven decision-making processes.
 </li>
 <li>
 
 Market &amp; Customer Analysis:
 
 Analyze customer behavior and market trends to help improve product offerings, marketing strategies, and customer engagement.
 </li>
 <li>
 
 Automation &amp; Process Improvement:
 
 Identify opportunities to automate repetitive data collection and reporting tasks, streamlining processes and improving data accuracy.
 </li>
 <li>
 
 Quality Control:
 
 Ensure the accuracy and reliability of data by conducting regular audits and validation checks.
 </li>
 </ul>
 
 
 Qualifications &amp; Requirements:
 
 
 <ul>
 <li>
 Proven experience as a Data Analyst or in a similar role, preferably in the automotive or manufacturing industry.
 </li>
 <li>
 Proficiency in data analysis tools such as Excel, SQL, Python, R, or other relevant software.
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
 </li>
 <li>
 Familiarity with automotive industry trends, supply chain processes, and production metrics is a plus.
 </li>
 <li>
 Excellent analytical and problem-solving skills, with a keen eye for detail.
 </li>
 <li>
 Ability to communicate complex data insights clearly to non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field. A Master&rsquo;s degree or relevant certifications is an advantage.
 </li>
 </ul>
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Results-driven with a strong focus on delivering data-driven insights that impact business performance.
 </li>
 <li>
 Strong communication skills, able to translate data findings into actionable recommendations.
 </li>
 <li>
 Detail-oriented with a focus on accuracy and data integrity.
 </li>
 <li>
 Ability to work effectively in a team environment and manage multiple tasks simultaneously.
 </li>
 <li>
 Passion for the automotive industry and eagerness to stay updated on new data technologies and trends.
 </li>
 </ul>
</div>

Data Analyst

Crisil

<div>
 <ul>
 <li>
 Support the modelling team with setup and maintenance of financial models by adopting a proprietary framework
 </li>
 <li>
 Undertake migration of existing client analyst models into the proprietary framework
 </li>
 <li>
 Create earnings reports by analyzing financial disclosures and conference call transcripts
 </li>
 <li>
 Support the senior modelers with finalising the modelling approach factoring in company specific and industry level fundamentals
 </li>
 <li>
 Assist the team with pilot assignments on modelling and report writing
 </li>
 </ul>
</div>

Management Trainee

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are looking for SF Business Analyst with experience in Service Cloud/ Health Cloud/ Healthcare domain.
 
 
 
 
 <ul>
 <li>
 
 Role: Business Analyst
 
 </li>
 <li>
 
 Location: All Persistent Locations
 
 </li>
 <li>
 
 Experience: 10 to 17 years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Person Should be aware of Salesforce Business Domain (NBFC), good communicator, convert the business requirement in Use Cases, Document the BRD, BSD, FSD, Guide the Dev.
 </li>
 <li>
 Team Functionally, Requirement Gathering, Awareness of technology.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring
 
 :
 
 
 
 
 <ul>
 <li>
 Service Cloud/ Health Cloud Implementation experience is necessary.
 </li>
 <li>
 Experience in Healthcare domain would be preferred.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discri
 
 mination and harassment of any kind.&rdquo;
 
 
</div>

Business Analyst

Capgemini

<div>
 
 Job Title: Business Analyst &ndash; Cards Issuing
 
 
 Location: Pune, Bangalore, Hyderabad
 
 
 Experience: 5 to 12 Years
 
 
 Notice Period: Immediate to 60 Days
 
 
 
 
 
 Job Summary:
 
 
 We are seeking an experienced Business Analyst with deep expertise in Cards Issuing to join our team. The ideal candidate will have hands-on experience across core cards processing functions and must demonstrate strong analytical and SQL skills. This role excludes candidates with experience primarily in acquiring, merchant services, or operations.
 
 
 
 
 
 Key Responsibilities:
 
 
 Collaborate with stakeholders to gather and analyze business requirements within the Cards Issuing domain.
 
 
 Lead and support initiatives across sub-domains such as:
 
 
 Core Cards Processing
 
 
 Authorization
 
 
 Disputes
 
 
 Account Boarding
 
 
 Servicing
 
 
 Collections
 
 
 Participate in Cards Migration/Conversion projects including:
 
 
 Data Mapping
 
 
 Business Workshops
 
 
 Mock Runs
 
 
 Disaster Recovery (DR) Planning
 
 
 Translate business needs into functional specifications and work closely with development and testing teams.
 
 
 Utilize SQL for data analysis, validation, and reporting.
 
 
 Work with product platforms such as VisionPlus, TSYS, HPS, CoreCard, Prime, etc.
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 Domain Expertise:
 
 
 Must have recent and substantial experience in Cards Issuing.
 
 
 Exclude candidates with experience in Cards Acquiring, Merchant Services, Payment Gateways, PSPs, ATM/POS, or purely operational roles.
 
 
 Migration/Conversion Experience:
 
 
 Must have participated in end-to-end migration activities beyond testing (e.g., data mapping, workshops, DR).
 
 
 SQL Proficiency:
 
 
 Strong SQL skills required for profiles with &lt;10 years of experience.
 
 
 Moderate SQL proficiency acceptable for profiles with 10&ndash;12 years of experience.
 
 
 Platform Experience:
 
 
 Hands-on experience with one or more Cards Issuing platforms (e.g., VisionPlus, TSYS, HPS, CoreCard, Prime).
 
 
 
 
 
 Profile Types Considered:
 
 
 Pure BAs with Cards Issuing + SQL
 
 
 Developers from Cards Issuing platforms who transitioned into BA roles
 
 
 Testers from Cards Issuing platforms now working as BAs
 
</div>

Business Analyst - Cards Issuing

Mars

<div>
 
 Job Description
 
 
 
 
 Job Title: Factory Logistics Manager
 
 
 
 
 Job Location: Pune
 
 
 
 
 Business Unit: Mars Wrigley India
 
 
 
 
 Job Purpose: -
 
 
 
 <ul>
 <li>
 The purpose of this job is to manage the Inbound/Outbound Logistics thereby ensure smooth flow of materials to production, Inventory Management of raws/packs/FG, Central warehouse operations and primary transportation and collaborate with Co-packer for execution of repacking activity.
 </li>
 <li>
 The Factory Logistics Manager is primarily responsible to supervise the efficient receipt, storage, and dispatch of a range of goods. Responsible for a vital part of the supply chain process and manages people, processes, and systems, to ensure goods are received and dispatched appropriately as per the company policies.
 </li>
 <li>
 Ensure external manufacturing packmates &amp; bulk materials availabilities and production on time in full.
 
 
 </li>
 </ul>
 
 Key Responsibilities: -
 
 
 
 <ul>
 <li>
 Logistics SPOC for Factory DOM (Daily, Weekly &amp; Monthly Operations Management Review)
 </li>
 <li>
 Safety, Q&amp;FS owner in factory RM/PM &amp; FG Warehouse
 </li>
 <li>
 Ensure 100% availability of Raw &amp; pack Material with strong collaboration with stakeholders.
 </li>
 <li>
 Coordinate with Material Planner and ensure LEAN Inventory as per the targets.
 </li>
 <li>
 Inbound, Quality sampling, storage, accounting &amp; Issue of all Raw &amp; Packing Material for the Factory
 </li>
 <li>
 FG transfer from production to warehouse &ndash; accounting.
 </li>
 <li>
 Managing Transportation with a cost-saving approach and ensuring vehicle placement on time.
 </li>
 <li>
 Outbound operation from the CW/factory/Ameya to CFAs as per the deployment plan.
 </li>
 <li>
 Reviewing RM/PM status on weekly basis for high / low inventory.
 </li>
 <li>
 Close coordination with the commercial and quality team in order to get timely deliveries and quality clearance.
 </li>
 <li>
 Documents preparation both for domestic and export shipments.
 
 
 </li>
 </ul>
 
 Job Specifications/Qualifications: -
 
 
 
 <ul>
 <li>
 Any Graduate/MBA candidates with strong experience in SCM/Logistics
 </li>
 <li>
 8 years of experience in Supply Chain in logistics, customer service and warehousing role.
 </li>
 <li>
 Advance user knowledge in SAP /ATLAS (under ERP environment)
 </li>
 </ul>
</div>

Factory Logistics Manager-Pune

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

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