Data Analytics

As a Data Analytics professional at our company, you will be responsible for the following: - Conducting detailed industry research and analysis using primary & secondary research methodologies across different sectors/ domains - Individually performing or leading and assisting the team during projects - Understanding requirements to translate business problems into research projects and constructing an analysis roadmap - Collaborating cohesively with the client and delivery team - Creating and maintaining project schedules, owning and tracking issues, risks, and communication with the client - Developing custom reports to communicate business insights from analysis and making actionable recommendations - Engaging and managing clients/stakeholders effectively In order to excel in this role, you should possess the following qualifications and key skills: - Strong verbal and written communication skills, stakeholder management skills, and business acumen - Proficiency in primary & secondary research, industry experts/key opinion leaders (KOL) methodologies - Expert level proficiency in MS PowerPoint, Advanced MS Excel, and MS-Word - Exposure to detailed Market & Competitive Research projects (such as Market Sizing & Landscaping, Opportunity Analysis, Product & Competitor Benchmarking, Value-Chain Analysis, and Customer Analysis) - Well-versed in drafting Proposals/ Thought Starters/ RFPs - Experience in servicing clients specifically in two (2) or more domains like Consumer Goods/FMCG, Chemicals, ICT/Telecom, Automotive, Industrial Goods & Machinery, Packaging, Energy/Oil & Gas - Proactive approach, team player, eye for detail, quick learner with tenacity and drive to succeed - Strong planning, coordination, and engagement skills combined with the ability to manage priorities - Team handling, critical thinking, & problem-solving skills - Comfortable working at the highest levels of client organizations and interacting closely with C-suite executives in a range of environments - Proficiency with Power BI, Tableau, or Qliksense (preferable, not compulsory),