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Job Description

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.

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 necessary.

Data 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 decisions.

Reporting & 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 organization.

Collaboration 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 company.

Predictive 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 decisions.

Data 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 policies.


Process Improvement :


- Identify opportunities for process improvement through data-driven insights.

- Recommend data collection methods and tools to enhance the quality and efficiency of

business processes.

Data Quality Assurance :


- Regularly review and assess the quality of data.

- Implement processes for ongoing data validation and verification to minimize errors.


Qualifications :


Education : Bachelors/Masters degree in Data Science, Computer Science, or a related field.

Experience : 3 - 6+ years of experience in data analysis or a related field.

Skills :

- 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 audiences.

Add 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, PostgreSQL).

Additional 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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