Data Analysis

Stemmons Business Services; Gujarat; On-site; INR 600,000 - 900,000; Full time

Job summary

Stemmons Business Services in Gujarat, India, is seeking a Data Analyst to analyze large datasets, identify trends, and generate actionable reports and visualizations for strategic decisions.

You will collect and clean data, perform statistical analyses, and create dashboards in Tableau or Power BI, communicating insights to non-technical teams to support business objectives.

Qualifications

• Bachelor's degree in a data-related field.
• 1+ years of data analysis or BI experience.
• Proficiency in SQL for querying databases.
• Strong Excel skills including pivot tables and VLOOKUP.
• Experience with data visualization tools such as Tableau/Power BI/DS.
• Familiarity with R or Python for analysis.

Responsibilities

• Data collection and preprocessing from multiple sources.
• Conduct statistical analyses to identify trends and correlations.
• Create reports and dashboards to present findings to stakeholders.
• Collaborate with cross-functional teams to define data requirements.
• Monitor KPIs and support data-driven decision making.
• Ensure data governance and documentation.

Skills

SQL

Excel advanced

Data visualization

R/Python

Statistics

Business intelligence

Communication

Attention to detail

Time management

Data analysis experience

Education

Bachelor's degree

Data Science

Computer Science

Mathematics

Economics

Tools

Tableau

Power BI

Google Data Studio

Excel

Job description

We are seeking a skilled Data Analyst to join our dynamic team. The ideal candidate will be responsible for analyzing large datasets, interpreting trends and patterns, and generating reports and visualizations to provide actionable insights that will guide strategic decision-making. The Data Analyst will work closely with various teams to understand business needs and use data to optimize operations and achieve organizational goals.

Key Responsibilities

Data Collection and Preparation:

• Gather, clean, and preprocess data from various internal and external sources.
• Maintain and update databases to ensure data accuracy, integrity, and accessibility.
• Perform data transformation and wrangling to make raw data ready for analysis.

Data Analysis:

• Conduct statistical analyses to identify trends, correlations, and patterns within data.
• Utilize advanced Excel, SQL, Power BI, Machine learning, AI or other data analysis tools to analyze data from multiple systems.
• Identify key performance indicators (KPIs) and generate actionable insights to support business objectives.

Data Visualization and Reporting:

• Create clear, compelling, and visually appealing reports and dashboards using tools like Tableau, Power BI, or Excel.
• Present findings in a way that’s easy to understand for non-technical stakeholders.
• Summarize data trends and insights through interactive visualizations and presentations.

Collaborative Problem Solving:

• Work closely with cross-functional teams (e.g., marketing, finance, operations) to understand business goals and data requirements.
• Provide analytical support to various departments by answering data-related questions and recommending data-driven solutions.
• Assist in making decisions based on historical data, trends, and forecasting.

Monitoring and Optimization:

• Regularly monitor business data to detect any discrepancies or issues in processes.
• Track business performance against KPIs and suggest improvements or strategies for optimization.
• Help define and implement processes for ongoing data collection and reporting.

Data Governance and Security:

• Ensure data privacy and compliance with relevant regulations (e.g., GDPR, HIPAA).
• Maintain proper data documentation and metadata for audit and tracking purposes.

Skills and Qualifications

• Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Economics, or a related field.
• Experience: 1+ years of experience in data analysis, business intelligence, or a related field.
• Technical Skills:
  • Proficiency in SQL for querying databases.
  • Advanced skills in Excel (e.g., pivot tables, VLOOKUP, macros).
  • Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
  • Familiarity with statistical analysis tools or languages (e.g., R, Python).
• Analytical Skills: Strong understanding of statistical methods and techniques (e.g., regression analysis, hypothesis testing).
• Problem-Solving: Ability to identify business problems and translate them into data-driven solutions.
• Communication: Excellent communication skills to explain complex data insights to non-technical audiences.
• Attention to Detail: Accuracy and attention to detail when working with large datasets.
• Time Management: Strong organizational skills and the ability to manage multiple projects simultaneously