Data Analyst

Key Responsibilities:

• Perform

  heavy data crunching

   using

  Excel

  ,

  R

  , or

  Python

  .
• Design and develop

  interactive dashboards

   in

  Tableau

   with seamless

  data integration

  .
• Create impactful

  presentations (PPT)

   to communicate insights effectively to stakeholders.
• Conduct

  exploratory data analysis (EDA)

   and build

  data models

   for forecasting and planning.
• Apply statistical techniques such as

  regression

  ,

  variance analysis

  ,

  hypothesis testing

  , and

  confidence intervals

  .
• Ensure accurate interpretation of data using concepts like

  mean

  ,

  median

  ,

  weighted averages

  ,

  correlation vs. causation

  , and

  probability

  .
• Select appropriate

  data visualization techniques

   to convey insights clearly and effectively.
• Identify and mitigate

  biases

   in data and analysis.
• Maintain high standards of

  data integrity

   and

  accuracy

   in all analytical assignments.
• Collaborate with cross-functional teams to support planning and reporting needs.

Skills & Qualifications:

• 58 years

   of relevant experience in data analysis and planning.
• Proficiency in

  Excel

   (advanced formulas, pivot tables, modeling).
• Hands-on experience with

  R or Python

   for statistical analysis.
• Expertise in

  Tableau

   for dashboard creation and data visualization.
• Strong presentation skills with mastery in

  PowerPoint

  .
• Solid understanding of

  statistical concepts

   and

  data modeling

  .
• Familiarity with

  sampling techniques

  ,

  statistical significance

  , and

  forecasting methods

  .
• Excellent communication and articulation skills.
• Ability to work independently and manage multiple tasks under tight deadlines.

Preferred Education:

• Bachelor’s or Master’s degree in

  Statistics

  ,

  Mathematics

  ,

  IT

  , or a related field.