Business Data Analyst - Statistical Analysis & Predictive modelling
KGK Group
Date: 2 weeks ago
City: Jaipur, Rajasthan
Contract type: Full time

Position Title : Business Data Analyst / : Data Analytics / Business To : Head Business Location : Jaipur / Type : : Best in Summary :
The Data Analyst is responsible for collecting, analysing, and interpreting large datasets to support business decision-making. This role requires the ability to generate actionable insights, build data reports, and work with cross-functional teams to optimize business performance. The Data Analyst will collaborate closely with other departments to understand their data needs and deliver data-driven solutions that align with the companys strategic objectives.
Key Responsibilities
Data Collection & Management :
The Data Analyst is responsible for collecting, analysing, and interpreting large datasets to support business decision-making. This role requires the ability to generate actionable insights, build data reports, and work with cross-functional teams to optimize business performance. The Data Analyst will collaborate closely with other departments to understand their data needs and deliver data-driven solutions that align with the companys strategic objectives.
Key Responsibilities
Data Collection & Management :
- Collect and aggregate data from various sources, including databases, spreadsheets, people and external platforms.
- Ensure data integrity and accuracy by organizing, and validating datasets.
- Develop and maintain databases or data information systems as Analysis :
- Perform detailed data analysis using statistical techniques to identify patterns, trends, and insights.
- Utilize data visualization tools to present data in a clear and understandable way for non-technical stakeholders.
- Analyse large and complex datasets to solve business problems and inform & Visualization :
- Create reports, dashboards, and visualizations to track key performance indicators (KPIs) and business metrics.
- Present findings to key stakeholders, making recommendations based on data insights.
- Provide ad-hoc reports and data queries as needed by different teams within the with Teams :
- Work closely with business units (Sales, finance, operations, etc.) to collect data on timely basis.
- Work closely with the existing MIS team to understand, analyse and interpret the data.
- Help design and implement new analytical tools and processes that improve data-driven decision-making across the Analytics & Forecasting :
- Use statistical models and machine learning techniques to forecast trends and predict future outcomes.
- Assist in developing predictive models to support strategic planning and operational Governance & Compliance :
- Ensure adherence to data privacy regulations and best practices in data security.
- Work with legal and compliance teams to ensure data is used ethically and in accordance with company Improvement :
- Identify opportunities for process improvement through data-driven insights.
- Recommend data collection methods and tools to enhance the quality and efficiency of business Quality Assurance :
- Regularly review and assess the quality of data.
- Implement processes for ongoing data validation and verification to minimize : : Bachelors/Masters degree in Data Science, Computer Science, or a related : 3 6+ years of experience in data analysis or a related :
- Experience with statistical analysis and predictive modelling.
- Ability to interpret complex data sets and translate findings into actionable business insights.
- Strong communication and presentation skills, capable of conveying data findings to both technical and non-technical On :
- Strong proficiency in data analysis tools such as Excel, SQL, Python, R, and data visualization tools like Power BI, Tableau or
- Knowledge of databases and experience with relational databases (e.g., MySQL, Requirements :
- Strong attention to detail and analytical thinking.
- Ability to work independently as well as in a collaborative team environment.
- Experience working with machine learning models and algorithms is advantageous.
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