BI and Data Analyst

7 days ago

Hyderabad, India Infoshare soft Full time

Title: BI Data Analyst

Location: Mindspace Hyderabad,

Job type: FTE (Night shift WFO)

Mission/Overview:

The BI Data Analyst will be responsible for gathering, analyzing, and interpreting large sets of data to help drive key business decisions. You will work closely with various departments to deliver insights that inform strategy and improve business performance. The ideal candidate will have a strong analytical mindset, proficiency with data analysis tools, and the ability to present findings clearly to non-technical stakeholders.

Job Description:

  • Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
  • 2-4 years of experience in data analysis or a related role.
  • Proficiency in data analysis tools such as Excel, SQL, R, or Python.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Strong knowledge of statistical analysis methods and techniques.
  • Ability to work with large datasets and handle complex data structures.
  • Familiarity with data storage systems (e.g., relational databases, data lakes) is a plus.
  • Excellent problem-solving and communication skills.
  • J rong attention to detail and organizational skills.J

What you'll be doing:

  • Data Collection & Cleaning:
    Gather, clean, and validate data from a variety of sources to ensure accuracy, consistency, and completeness. Prepare data for analysis by identifying and resolving issues such as missing or incorrect information.

  • Data Analysis & Interpretation:
    Perform statistical analysis on complex datasets to identify trends, patterns, and insights. Provide actionable recommendations based on data findings to drive business decisions.

  • Reporting & Visualization:
    Create clear, concise, and visually appealing reports and dashboards to communicate insights to stakeholders. Use data visualization tools (e.g., Power BI, Tableau) to translate complex data into easily understandable formats.
  • Collaborating with Stakeholders:
    Work closely with internal teams (marketing, finance, product, etc.) to understand their data needs. Provide analytical support to departments to inform strategy and optimize operations.
  • Trend Analysis & Forecasting:
    Analyze historical data to identify trends and patterns that can inform future business strategy. Develop forecasts and predictive models to help guide business decisions.
  • Performance Metrics:
    Monitor key performance indicators (KPIs) and other relevant metrics, and assess how these contribute to the organizations overall goals. Provide regular updates to stakeholders on data-driven insights and performance.
  • Process Improvement & Automation:
    Identify areas where data processes can be improved or automated to increase efficiency. Suggest and implement improvements to streamline data collection, analysis, and reporting.
  • Data Governance & Compliance:
    Ensure that data collection and analysis practices comply with relevant data protection regulations (e.g., GDPR, CCPA). Maintain data privacy and confidentiality while working with sensitive information.
  • Continuous Learning:
    Stay up to date with the latest trends, tools, and techniques in data analysis. Continuously improve your skills and apply best practices in data analytics to enhance your work.

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