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Customer-focused leader in operations, data analytics, project management and business development. Drives process improvements to contain costs, increase productivity and grow revenue through data analysis using-Python, SQL and Excel. Creates strategies and allocates resources through competitive analysis and business intelligence insights with visualizations using Tableau and Power-BI. Excellent presentation, analytical, communication and problem-solving-skills. Develops strong relationships with stakeholders to mitigate issues and to foster change.

Recent Career interest:
Generally speaking, a data analyst will retrieve and gather data, organize it and use it to reach meaningful conclusions. Data analysts’ work varies depending on the type of data that they’re working with (sales, social media, inventory, etc.) as well as the specific client project.

Companies in nearly every industry can benefit from the work of data analysts, from healthcare providers to retail stores to fast food chains. The insights that data analysts bring to an organization can be valuable to employers who want to know more about the needs of their consumer or end user.

Regardless of which industry they work in, data analysts can expect to spend their time developing systems for collecting data and compiling their findings into reports that can help improve their company.

Analysts can be involved in any part of the analysis process. In a data analyst role, you could be included in everything from setting up an analytics system to providing insights based on the data you collect—you may even be asked to train others in your data-collection system.
Life of a data analyst :-

What are some common data analyst responsibilities?

We enlisted some experts like Absalom Carlisle to help you get a sneak peek of the daily duties of a typical data analyst.

  1. Producing reports
  2. Spotting patterns
  3. Collaborating with others
    Being able to communicate well is important. Your success is dependent on your ability to work with people—the people you are gathering the questions from, peers you collaborate with to execute the work and the people you deliver the final project.
  4. Collecting data and setting up infrastructure
    Perhaps the most technical aspect of an analyst’s job is collecting the data itself. This often means working together with stakeholders to optimize data collection.
    Data Analyst vs. Data Scientist
    The Differences
    Data analysts:1
    • Have math and statistical skills
    • Have a strong business acumen
    • Have computer science / coding skills
    • Develop key performance indicators
    • Create visualizations of the data
    • Utilize business intelligence and analytics tools
    Data scientists:1
    • Have math and statistical skills
    • Have a business acumen
    • Have computer science / coding skills
    • Identify trends with machine learning
    • Make predictions on data trends
    • Write code to assist in data analysis
    Though data analysts and data scientists have different backgrounds and strengths, keep in mind that these roles can be a little squishy in how they’re defined. This means responsibilities may change depending on the organization.

Types of data analytics
• Descriptive analytics answers, “What happened?”
• Diagnostic analytics answers, “Why did something happen?”
• Predictive analytics answers, “What is likely to happen?”
• Prescriptive analytics answers, “What action should be taken?”
What tools do data analysts use?
• Microsoft Excel®
• Python
• R
• Power-Bi
• Tableau
• Google Analytics ™