Manager, Business Intelligence & Data Science Job in Isocrates Madtech Private Limited

Job Description iSOCRATES seeks a Manager, Business Intelligence & Data Science (BIDS) who is highly analytical, process-oriented and who can lead teams of Analysts, Developers, Data Scientists, and QA resources. As BIDS Manager, you will translate business and product requirements into analytics/reports/dashboards specifications and deliverables that can be used to gain business insight, predictive and prospective recommendations, and data visualization among other benefits. You will also be liaising with Business Users, Customers/Clients/Partners, internal Solutions Architects and Customer Success Partners, Engagement Managers and Data Warehouse Architects to plan and schedule new reporting and analytic solution projects, including DW upgrades, ETL and data processes, Data Modeling, and performance optimization. You will lead the due diligence process in terms of the nature of the requirements in-take activities, understand the level of effort estimation, tech skills required, appropriate resource fitment, and build consensus with business and operations teams and communicate effectively with all stakeholders (external & internal). The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning, engineering) and has applied those skills in solving real world problems across different businesses/functions. Responsibilities Use analytical and statistical rigor to answer business questions and drive solutions Recognize and adopt best practices in reporting and analysis, data integrity, design, analysis, validation, and documentation Work closely with customers/Stakeholder teams to build out analytical solutions Candidates will need to develop deep expertise in ISOCRATES data sources and operation of analytical tools so that they can not only answer business questions but follow their own initiative to further drill down to find the true underlying reasons. Business Questions are likely to relate to Audience Segmentation and Value, Customer Acquisition and Activation, Range optimization, Promotion effectiveness, On-shelf availability, Pricing optimisation, Campaign Performance decomposition, clustering and identifying custom behavioral patterns Focus on continuous learning and development across Methods, Tools and Analytical problems Discuss with Business users to define and document new or enhanced reporting requirements Provide training and assistance to business users on the reporting tool for generation of reports and dashboards Design and articulate the data science solution relevant to the business problem/opportunity Lead identification of appropriate data science models and evaluate their fitment for the available data Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption Identify, develop, manage, and analyse to uncover areas of opportunity and present written business recommendations that will help shape the direction of analytics projects/products Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools Design and influence operational best practices for reporting and predictive analytics to enable the team to scale Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modelling, problem solving, and communication of insights and recommendations Collaborate with Product and Program management teams to design analytics frameworks that will support large-scale data-analysis and on-ground corrective actions Find insights that influence decisions (particularly new product/feature ideas). This work will span from early data explorations about user behavior, to multivariate experiments and optimizations Analyze and provide recommendations to influence our product and company strategy Provide user insights through data: cohorts analyses, user segmentation, long-term trends, industry, and competitor analysis and behavioral analyses Work with teams to establish and meet target timelines and KPIs Use statistical methods to analyze data and generate useful business reports Provide support for ad hoc requests from the Business Users Provide support for Analytics Processes monitoring and troubleshooting Identify, evaluate and implement external services and tools to support data validation and cleansing Liaise with internal and external clients to fully understand data content Independently determine the appropriate approach for new assignments Secondary Responsibilities Work with business partner teams to assist in their revenue-related content and audience planning Support the development and analysis of audience extension and audience development initiatives across display, mobile, video, social formats and more Responsible for the optimization around data operations efforts: collection and analytics standards, technology, latest innovations in measurement, modeling, data architecture, analysis, visualizations, process improvement, best practices, data platforms, data management, etc. Measure, analyze and optimize direct and programmatic campaigns for both supply and demand Provide thorough projections and analysis of all performance metrics associated with individual campaigns, properties, partners and business units Provide ongoing support to DMPaaS Partner Success, and Product (MAdTechBI and iSOCRATES ETL) Manage Data Scientist and team responsible for standard and custom audience analysis and reports daily, weekly, monthly, quarterly, ad-hock time periods and time period comparisons, as well as other monetization related efforts specifically tied to iSOCRATES Data Enhanced Media opportunities and campaign delivery Develop Machine Learning and Deep Learning-based approaches to audience- and non-audience-based ad inventory price-value discovery and optimization