Data Analyst

Keka Technologies Private Limited; Kamrup Metropolitan; On-site; INR 400,000 - 660,000; Full time

Job summary

Keka Technologies Private Limited is seeking a Data Analyst to collect, clean, analyze, and visualize data to drive actionable insights for business decisions.

You will identify data sources, validate data quality, perform descriptive and exploratory analyses, and develop reports and dashboards.

Collaborate with stakeholders across teams, ensure data governance, and stay current with analytics tools such as Excel, Tableau or Power BI.

Qualifications

• Strong ability to analyze and interpret data to uncover trends and insights.
• Proficiency in data analysis tools and data visualization platforms.
• High level of accuracy and attention to detail in handling and analyzing data.
• Effective verbal and written communication skills for presenting findings and recommendations.
• Strong problem-solving abilities and methodological approach to complex data problems.

Responsibilities

• Identify Data Sources: Locate and gather data from various sources including databases, spreadsheets, and external data providers.
• Data Validation: Check data for accuracy and completeness; identify and correct errors or inconsistencies.
• Data Transformation: Convert raw data into a usable format, including aggregating, normalizing, and merging datasets.
• Descriptive Analysis: Generate summaries, reports, and visualizations to understand past trends and current status.
• Exploratory Data Analysis (EDA): Conduct preliminary analysis to discover patterns, spot anomalies, and test hypotheses.
• Statistical Analysis: Apply statistical techniques to analyze data and generate insights (hypothesis testing, regression, correlations).
• Create Reports: Develop comprehensive reports detailing analysis findings, trends, and recommendations.
• Data Visualization: Create charts, graphs, dashboards, and other visual tools to present data insights clearly and effectively.
• Insight Generation: Translate data analysis into actionable business insights and strategic recommendations.
• Decision Support: Provide data-driven support for decision-making processes and business strategies.
• Stakeholder Interaction: Work with managers, executives, and other departments to understand data needs and requirements.
• Present Findings: Communicate complex data findings to non-technical audiences.
• Data Integrity: Ensure data is accurate, secure, and compliant with regulations and standards.
• Documentation: Maintain thorough documentation of data sources, methodologies, and processes.

Skills

Analytical Skills

Technical Proficiency

Attention to Detail

Communication

Problem-Solving

Tools

Excel

Tableau

Power BI

Job description

Roles and Responsibilities of a Data Analyst

1. Data Collection and Acquisition

Identify Data Sources: Locate and gather data from various sources including databases, spreadsheets, and external data providers.

2. Data Cleaning and Preparation

Data Validation: Check data for accuracy and completeness. Identify and correct errors or inconsistencies.

Data Transformation: Convert raw data into a usable format, including aggregating, normalizing, and merging datasets.

3. Data Analysis and Interpretation

Descriptive Analysis: Generate summaries, reports, and visualizations to understand past trends and current status.

Exploratory Data Analysis (EDA): Conduct preliminary analysis to discover patterns, spot anomalies, and test hypotheses.

Statistical Analysis: Apply statistical techniques to analyze data and generate insights. This may include hypothesis testing, regression analysis, and correlation studies.

4. Reporting and Visualization

Create Reports: Develop comprehensive reports detailing analysis findings, trends, and recommendations.

Data Visualization: Create charts, graphs, dashboards, and other visual tools to present data insights clearly and effectively.

5. Business Insights and Recommendations

Insight Generation: Translate data analysis into actionable business insights and strategic recommendations.

Decision Support: Provide data-driven support for decision-making processes and business strategies.

6. Collaboration and Communication

Stakeholder Interaction: Work closely with stakeholders, including managers, executives, and other departments, to understand their data needs and requirements.

Present Findings: Communicate complex data findings and insights in an understandable manner to non-technical audiences.

7. Data Management and Governance

Data Integrity: Ensure that data is accurate, secure, and compliant with relevant regulations and standards.

Documentation: Maintain thorough documentation of data sources, methodologies, and processes for future reference and audit purposes.

8. Tool and Technology Proficiency

Software Usage: Proficiently use data analysis tools and software such as Excel and specialized data visualization tools like Tableau or Power BI.

Technology Adaptation: Stay updated with the latest tools and technologies in the data analytics field to improve efficiency and effectiveness.

Key Skills and Qualifications

• Analytical Skills: Strong ability to analyze and interpret data to uncover trends and insights.
• Technical Proficiency: Expertise in data analysis tools and data visualization platforms.
• Attention to Detail: High level of accuracy and attention to detail in handling and analyzing data.
• Communication: Effective verbal and written communication skills for presenting findings and recommendations.
• Problem-Solving: Ability to approach complex data problems methodically and creatively.