Engineering Data Analyst - SQL/Python

About the Role :

We are looking for a Data Analyst who can collect, organize and analyze complex datasets and convert them into actionable insights. The candidate will work independently on simple and medium-complexity assignments and collaborate with senior team members and business stakeholders on complex analytical projects.

Key Responsibilities :

• Extract, clean, transform and analyze data using SQL.
• Create interactive dashboards and reports using Power BI, Tableau or Looker.
• Use Python libraries such as Pandas and NumPy, or R, for data analysis and modelling.
• Identify patterns, trends and business opportunities from large datasets.
• Translate business requirements into analytical solutions and meaningful reports.
• Perform data validation and ensure accuracy and consistency across reports.
• Work with CRM data and platforms such as Salesforce.
• Present analytical findings to technical and non-technical stakeholders.
• Collaborate with business and cross-functional teams to solve complex problems.
• Maintain documentation for reports, dashboards and analytical processes.

Required Skills :

• Strong hands-on experience with SQL.
• Experience with Power BI, Tableau or Looker.
• Working knowledge of PythonPandas and NumPyor R.
• Strong understanding of data analysis, reporting and dashboard development.
• Exposure to Salesforce or another CRM platform.
• Excellent analytical, quantitative and problem-solving skills.
• Ability to work with large and complex datasets.
• Strong written and verbal communication skills.
• Ability to communicate analytical findings to non-technical stakeholders.

Eligibility :

• 2 to 5 years of relevant experience in data analysis, reporting or business intelligence.
• Bachelors degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering or a related discipline.

Preferred Skills :

• Experience working with sales or CRM datasets.
• Knowledge of data visualization and storytelling best practices.
• Understanding of data quality and validation techniques.
• Experience working in an Agile or cross-functional environment.

Why Join :

• Opportunity to work on challenging, business-focused analytical projects.
• Exposure to global stakeholders and cross-functional teams.
• Continuous learning and professional development opportunities.
• Collaborative and inclusive working environment