Data Analyst | Associate Fresher

Company Overview
Idealmet Technologies is a leading technology company operating in the None industry. We specialize in providing innovative solutions for data analysis and insights to drive business growth and decision-making.
Role And Responsibilities

• Work with a team of data analysts to collect, clean, and analyze large datasets to extract valuable insights.
• Assist in the development and implementation of data analysis strategies and methodologies.
• Conduct statistical analysis and hypothesis testing to evaluate the effectiveness of various business initiatives.
• Create and maintain data visualizations and reports to communicate findings and recommendations to key stakeholders.
• 
  Collaborate with cross-functional teams to identify data-driven opportunities and contribute to data-driven decision-making processes.
  

Candidate Qualifications

• 0-1 years of work experience in data analytics.
• Bachelors degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
• Experience in SQL and Python (or R) required.
• Familiarity with experimental design, hypothesis testing, and statistical analysis such as regression or time-series.
• Strong analytical and problem-solving skills.
  

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Required Skills

• Data analytics
• SQL
• Python (or R)
• Experimental design
• Statistical Analysis
  

Skills: python,data modelling,data storytelling,data quality,articulating product questions,power bi,sas,verbal and written communication skills,big data technologies,experimental design,data cleaning,data management,statistics,pulling data from large datasets,spss,using statistics to arrive at a recommendation,data warehousing,problem-solving skills,statistical analysis,hypothesis testing,data mining,excel,ad-tech industry,relationship-building skills,statistical packages,machine learning,time-series,r,data analytics,data wrangling,data ethics,gsuite products,customer-centric mindset,data visualization,regression,tableau,business intelligence,sql,data architecture,data governance,cloud computing