Sr Business Analyst

As a Business Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to extract valuable insights and support data-driven decision making processes. You will collaborate with cross-functional teams to identify business requirements, design data models, and generate reports that contribute to organizational growth and success.

Main tasks & responsibilities: Data Collection and Preparation:

• Gather and collect data from various sources, ensuring data integrity and accuracy.
• Cleanse, transform, and format data to ensure consistency and usability.
• Develop data acquisition and data quality assurance processes.

Data Analysis and Interpretation:

• Apply statistical analysis techniques to explore and interpret large datasets.
• Identify trends, patterns, and correlations in data to uncover insights and opportunities.
• Perform advanced analytics, such as predictive modeling and segmentation, to support business goals

Data Visualization and Reporting:

• Create visually appealing and informative reports, dashboards, and presentations.
• Communicate complex data findings and insights in a clear and concise manner to stakeholders.
• Develop interactive data visualizations to facilitate data exploration and understanding.
• Business Intelligence and Decision Support:
• Collaborate with stakeholders to understand business needs and requirements.
• Conduct ad-hoc analyses and provide data-driven recommendations to support decision-making.
• Monitor key performance indicators (KPIs) and provide insights to drive operational improvements.

Data Governance and Compliance:

• Ensure data privacy, security, and compliance with relevant regulations.
• Establish data governance frameworks and best practices.
• Maintain documentation of data processes and procedures.
• Able to travel to project sites if required for data collection and management.

Requirements:

• 8-10 years of experience as Project, Data or Business Analyst
• Masters degree in Mathematics, Statistics, Analytics, Computer Science, or a related field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in data analysis tools such as Python, R, SQL, or similar programming languages.
• Experience with data visualization tools such as Tableau, Power BI, Excel or similar platforms.
• Familiarity with statistical analysis techniques and predictive modeling.
• Knowledge of data cleansing, transformation, and preparation techniques specific to forestry, agriculture, or horticulture data.
• Ability to interpret and communicate complex data findings to both technical and non-technical stakeholders in the context of forestry, agriculture, or horticulture domains.
• Strong organizational and time management skills to handle multiple projects and deadlines.
• Proven ability to work effectively in cross-functional teams and collaborate with stakeholders from various departments.
• Experience with data governance, data quality, and data management principles is desirable.
• Familiarity with machine learning concepts and algorithms is a plus.
• Familiarity with local language Khasi/Garo is preferred, not mandatory.

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