Lead - Data Analytics

KEY RESPONSIBILITIES:

• Develop and implement a comprehensive analytics strategy to support the organizations business objectives.
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics support that support key business decisions on Microsoft Power BI and Snowflake.
• Driving key business-impacting processes like demand forecast generation and SNOP processes.
• Generating sales recommendations for the trade sales team.
• Optimizing business processes like network, inventory, etc., with data modeling and predicting / prescribing algorithms.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations, and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering, as well as modeling, visualization, and communication deliverables.
• Anticipate future demands of initiatives related to people, technology, budget, and business within your department and design/implement solutions to meet these needs.
• Apply advanced analytics techniques to improve commercial routines and processes.
• Organize and drive the successful completion of data insight initiatives through effective management of analysts and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
• Ability to look, analyse, critically think, and communicate insights to support data-driven decisions.

EDUCATIONAL QUALIFICATIONS:

• B.E/ BTech / M.Tech (Computer Science, Statistics, Data Management, Business Intelligence) or MBA/ PGDM (Data Science/Business Analytics/Business Intelligence/Sales/Marketing)

WORK EXPERIENCE:

• With 10+ years of experience in a position monitoring, managing, manipulating, and drawing insights from data, and someone with at least 3 years of experience leading a team
• Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc.
• Experience in understanding and managing the data flow across multiple systems to the data warehouse.

CERTIFICATIONS: Prefer to have SAS / Microsoft / AWS Certified Analytics Professional

PREFERRED/ ADDITIONAL REQUIREMENT:

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

FUNCTIONAL COMPETENCIES:

• Strong problem-solving, quantitative, and analytical abilities.
• Strong ability to plan and manage numerous processes, people, and projects simultaneously.
• Excellent communication, collaboration, and delegation skills.

BEHAVIORAL COMPETENCIES:

• Critical Thinking. Exercise sound reasoning to analyze issues, make decisions, and find innovative solutions.
• Professionalism. Demonstrate Integrity through work ethic, personal accountability, professional image, and ethical behaviour.