6 jobs found in Haryana

Daily Production PlanningClosely monitored production to ensure goods was produced to high quality standards.Improve operation efficiency by closely monitoring team production and identifying inefficient process.Improved company customer service rating by 100%.Organised production timetable to maximize efficiency and loss of production time.Hourly Production report.Regularly planned and organized maintenance of machinery and equipment.Daily Planning of Machine Shop.Time Study Report Analysis.Daily washing line check & analysis.Implemented root cause and corrective action to remove production constrains and improved product quality. 

1. Preparation of annual budget, monthly rolling forecast and variance analysis: P&L, balance sheet and cash flow with application of accounting principles2. Ongoing business support through data driven decision making, preparing channelpartner-state level P&Ls, working out pricing/ commercials, stock purchase plan, schemes, contests, and calculation of commission/ incentive/ ROI3. Operational excellence: Assist in defining KPIs of all the key functions viz. sales, service, logistics, warehouse, quality etc., track actuals against them and have monthly review of the same with the respective functional heads4. Driving improvement in margin, efficiency, productivity, processes, internal controls by providing visibility of data through reports and dashboards5. Develop, update, and maintain database, value chains and trend of various performance metrics related to business, operations, and finance

Copy LinkResponsibilitiesSupport sales executives with solution selling into prospect account basePartner with sales executives to plan, prepare and execute on strategic deals in complex sales cyclesModel the financial business case associated with each sales opportunitySuccessfully match customer pain/requirements to proposed solutionsCreate and deliver powerful presentations and demos that clearly communicate the uniqueness of the value propositionManage all technical aspects of RFP / RFI responsesEffectively communicate client needs to the R&D teams for future product enhancementsCollect and document competitive intelligence

Location- GurgaonIndustry- Only from Oil & Gas or Defense (Army, Navy & Air Force)Exp- 5-15 YearsRoles & responsibilities:1. Identify accounts with business potential of 50 lakhs to Rs. 3 crores2. Generate lead and set up meetings with the identified key departments3. Developing and managing a portfolio of Key department4. Identify the decision making process and key stakeholders of the identified client5. Estimate the timeline for conversion after consulting all stakeholders6. Drive the relationship with the client from lead generation, technical and commercial discussions, negotiations and collections7. Serve as the single point of contact with the client for all communication8. Coordinate with the operations team for successful execution of the project and timely collection of payments from the client9. Analyzing client data to manage customer relationshipRequired Qualification:- Graduation preferably in Engineering +MBA- Fluent in written and spoken English- Fluent in local dialect for the territory- Experience of 5 to 15 years in Sales with strong network- Strong negotiation skills, with ability to follow-through on client contracts- Ability to multitask and manage more than one client account- Proven results of delivering client solutions and meeting sales goals

·         Mandatory Skills : SQL , HIVE , HDFS , Spark , PySpark , Linux , Python , for basic data analysis , job scheduling (exposure of Oozie , Air –Flow , Crontab)·         Implementation of end to end Data pipeline from sources such as RDBMS , FTP ,data files.·         Exposure of different file formats – Parquet , JSON , XML, CSV , ORC , Text·         Troubleshooting and performance tuning of ETL Jobs and spark applications.·         Additional Preference for additional skill set-Sqoop , shell scripting ,kafka streaming data , NIFI.  

Location-GurgaonRole- Data Scientist Job Description:-Good exposure of Machine Learning Algorithm (supervised and unsupersived learning)Good programming skills in Python for data cleansing/pre processing, feature engineering and NLP.Data Handling.Additional preference for candidates with exposure of:-a.Text mining, sentimental analysis, sensor signals handling.b. End to end analysis project delivery, presenting reports to business user.c. Qliksense exposure