Data Analyst - R/Python

Job 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.

Data Collection & Management

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 Responsibilities :

• 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 Oracle BI.
• 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
  
  

(ref:hirist.tech)