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.