REF75369V-Assistant Manager-Analytics, KNIME developers, 2+ years experience, Noida
REF75369V-Assistant Manager-Analytics, KNIME developers, 2+ years experience, Noida
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Job Description
Roles and ResponsibilitiesAssistant Managers must understand client objectives and collaborate with the Project Lead to design effective analytical frameworks. They should translate requirements into clear deliverables with defined priorities and constraints. Responsibilities include managing data preparation performing quality checks and ensuring analysis readiness. They should implement analytical techniques and machine learning methods such as regression decision trees segmentation forecasting and algorithms like Random Forest SVM and are expected to perform sanity checks and quality control of their own work as well as that of junior analysts to ensure accuracy. The ability to interpret results in a business context and identify actionable insights is critical. Assistant Managers should handle client communications independently and interact with onsite leads discussing deliverables and addressing queries over calls or video are responsible for managing the entire project lifecycle from initiation to delivery ensuring timelines and budgets are met. This includes translating business requirements into technical specifications managing data teams ensuring data integrity and facilitating clear communication between business and technical stakeholders. They should lead process improvements in analytics and act as project leads for cross-functional ManagementThey serve as client leads maintaining strong relationships and making key decisions. They participate in deliverable discussions and guide project teams on next steps and execution RequirementsAssistant Managers must know how to connect databases with Knime (e.g. Snowflake SQL) and understand SQL concepts such as joins and unions. They should be able to read/write data to and from databases and use macros and schedulers to automate workflows. They must design and manage Knime ETL workflows to support BI tools and ensure end-to-end data validation and in PowerBI is required for building dashboards and supporting data-driven decision-making. They must be capable of leading analytics projects using PowerBI Python and SQL to generate insights. Visualizing key findings using PowerPoint or BI tools like Tableau or Qlikview is CandidateCandidates should have 47 years of experience in advanced analytics across Marketing CRM or Pricing in Retail or CPG. Experience in other B2C domains is acceptable. They must be skilled in handling large datasets using Python R or SAS and have worked with multiple analytics or machine learning techniques. Comfort with client interactions and working independently is expected along with a good understanding of consumer sectors such as Retail CPG or should have experience with various data formats and platforms including flat files RDBMS Knime workflows and server SQL Server Teradata Hadoop and Sparkon-prem or in the cloud. Basic knowledge of statistical and machine learning techniques like regression clustering decision trees forecasting (e.g. ARIMA) and other ML models is SkillsStrong written and verbal communication is essential. They should be capable of creating client-ready deliverables using Excel and PowerPoint. Knowledge of optimization methods supply chain concepts VBA Excel Macros Tableau and Qlikview will be an added advantage.
Qualifications :
Engineers from top tier institutes (IITs DCE/NSIT NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/UniversitiesMBA from top tier B-schools
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
