Data Analyst

Job Title:

Location:

Employment Type:

Job Summary:

We are seeking an experienced Data Analyst with strong expertise in Python to join our analytics team. The ideal candidate will have 4–5 years of experience in data analysis, data wrangling, and reporting using Python and other relevant tools. You will work closely with cross-functional teams to deliver actionable insights and support data-driven decision-making.

Key Responsibilities:

• Analyze large and complex datasets using Python (pandas, NumPy, etc.)
• Design and implement data pipelines for data cleaning, transformation, and analysis
• Create visualizations and dashboards using tools like Power BI, Tableau, or Python (Matplotlib, Seaborn, Plotly)
• Collaborate with business stakeholders to gather requirements and translate them into data solutions
• Develop and maintain automated reports and dashboards
• Perform root cause analysis and identify trends, patterns, and anomalies in data
• Support A/B testing, forecasting, and statistical modeling as needed
• Document data analysis processes and code for reproducibility and knowledge sharing

Required Skills:

• Strong proficiency in

  Python

  for data analysis (pandas, NumPy, matplotlib/seaborn)
• Solid understanding of

  SQL

  for querying relational databases
• Experience with

  data visualization

  tools (Power BI, Tableau, or Python-based visualizations)
• Good understanding of data cleaning, manipulation, and wrangling techniques
• Familiarity with

  version control

  systems like Git
• Strong analytical thinking and problem-solving skills
• Ability to communicate insights clearly to both technical and non-technical stakeholders

Preferred Skills:

• Experience with

  cloud platforms

  (AWS, GCP, Azure) and data tools like BigQuery or Snowflake
• Knowledge of

  machine learning

  basics and tools (scikit-learn, etc.)
• Experience working in an

  Agile

  environment
• Understanding of business KPIs, reporting metrics, and dashboards

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field

Experience:

• 4 to 5 years of hands-on experience in data analysis and Python programming