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