Reporting Analyst

Role & responsibilities

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• Report Development: Creating, maintaining, and improving reports that help the organization understand business performance and make data-driven decisions.
  • Data Analysis: Interpreting and analyzing data to identify trends, correlations, and patterns that can influence strategic business decisions. • Data Collection and Management: Gathering data from various sources, ensuring its accuracy and relevance, and organizing it in a way that supports effective reporting. • Leadership Support: Working closely with Industry leadership and client program team to establish Industry specific benchmarks and measure against key performance indicators (KPIs) • Account Planning: Contribute to the account planning workshops by creating pre-read reports, setting up the workshop, take notes, etc. • Collaboration: Working closely with different teams and stakeholders to understand their reporting needs and ensure that reports are effectively fulfilling those needs. • Communication: Presenting reports and explaining their findings to stakeholders in a clear, understandable manner. • Technical Innovation: Staying updated with the latest industry trends, tools, and technologies in data analytics and reporting to continually improve the reporting capabilities of the organization. • Quality Assurance: Ensuring the accuracy and integrity of reports through rigorous quality control processes. • Market Research: Conducting thorough secondary research on different companies, competitors, sectors, industries, and economic conditions, to create specific reports and marketing collaterals • Operations: Independently manage projects including stakeholder communications, pipeline management, project prioritization and project delivery Adhere to firm's policies on: 1. Independence 2. Confidentiality 3. Non-solicitation 4. Intellectual property Work Location: Hyderabad

Shift Timings: 2 PM to 11 PM

Qualifications and experience
• Educational Qualification: Bachelor's/Master's degree in Marketing, Business Management, Analytics, Maths, Commerce, or a similar area • Extensive Experience: 3 to 5 years of experience in data analysis or a related field, demonstrating a track record of creating comprehensive, insightful reports. • Reporting Tools Proficiency: High proficiency in using reporting tools such as Microsoft Excel, PPT, Power BI skills to create dynamic, interactive reports. • Research Tools Proficiency: High proficiency in using research tools such as Factiva, Hoover, etc. • Data Analysis Skills: Strong skills in analyzing data to identify trends, correlations, and patterns. • Communication: Excellent communication skills, with the ability to effectively present reports and explain their findings to senior leadership. • Problem-Solving: Strong problem-solving skills, with the ability to tackle complex data challenges and come up with effective solutions. • Attention to Detail: A keen eye for detail, ensuring the accuracy and integrity of reports. • Collaboration: Ability to effectively collaborate with different departments to understand their reporting needs and ensure that reports are meeting those needs.n excellent team player with experience working effectively in virtual teams, promoting collaboration and unity.

Professional Experience:

• Entrepreneurial mind set with a 'can do, will do' attitude
  
• Capability to support the definition of client needs
  
• Ability to understand complex data
  
• Minimum 3 years experience of working in a professional service environment.
  

Technical Skills:

• MS Word
  
• Advanced Excel
  
• Intermediate level of VBA
  
• PowerPoint
  
• Reporting applications and visualization tools (Basics Tableau/ Power BI)
  
• Data processing and interpreting skills
  
• Data collections
  
• Data loading
  
• Processing data as per SOP
  
• Data sense check
  
• SharePoint
  
• Technical documentation
  

Desirable Skills:

• Previously worked as a data analyst would be a huge plus
  
• Excellent communication skills
  
• Prior experience in processing role would be a plus
  
• Being a advocate of MI
  • Technical Adaptability: Flexibility in learning and adopting new technologies, methodologies, and tools to stay at the forefront of data analysis and reporting trends.