LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
A little about us...
Role: Data Engineer
Location: Remote
Job Description:
Key Responsibilities
Collect clean and validate data from multiple sources
Analyse data sets to identify trends patterns and insights
Create dashboards reports and visualizations charts graphs KPIs
Work with stakeholders to understand business requirements
Translate complex data findings into simple actionable insights
Monitor performance metrics and generate periodic reports
Maintain databases and ensure data accuracy and integrity
Support decision-making through data driven recommendations
Skills
Mandatory Skills : MS Excel, Power BI, Python, Python for DATA, Tableau
LTIMindtr ee is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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