LT-Larsen & Toubro
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Role Overview We are seeking a motivated and detail-oriented Data Analyst/Developer with foundational to intermediate experience in SQL, Power BI, and Python (AI/ML). The ideal candidate will be responsible for extracting, transforming, analysing, and visualizing data while supporting basic machine learning use cases. This role is ideal for candidates looking to grow their skills in data analytics and applied AI in a business setting. Key Responsibilities Data Management & SQL Write, optimize, and maintain SQL queries for data extraction and reporting Perform data cleaning, transformation, and validation Work with relational databases (e.g., SQL Server, MySQL, PostgreSQL) Assist in building data pipelines and ETL processes Power BI & Data Visualization Develop interactive dashboards and reports using Power BI Create data models, DAX calculations, and KPIs Translate business requirements into insightful visualizations Ensure data accuracy and consistency in reports AI/ML Programming (Python) Assist in developing and deploying basic machine learning models Use Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn Perform exploratory data analysis (EDA) Support predictive analytics and automation use cases Document and maintain code for reproducibility Collaboration & Support Work with business stakeholders to understand data requirements Support senior data scientists or analysts in ongoing projects Prepare reports, presentations, and documentation Continuously learn and adopt recent tools and technologies Required Skills & Qualifications Education Bachelors degree in Computer science, Data Science, Engineering, Statistics, or related field Technical Skills SQL: Robust fundamentals (joins, subqueries, aggregations, window functions preferred) Power BI: Report building, DAX basics, data modelling Python: Basic to intermediate proficiency Familiarity with AI/ML concepts (regression, classification, clustering) Experience with Excel for data analysis Soft Skills Strong analytical and problem-solving ability Good communication and presentation skills Ability to work independently and in a team Eagerness to learn and grow in AI and data analytics Role Overview We are seeking a motivated and detail-oriented Data Analyst/Developer with foundational to intermediate experience in SQL, Power BI, and Python (AI/ML). The ideal candidate will be responsible for extracting, transforming, analysing, and visualizing data while supporting basic machine learning use cases. This role is ideal for candidates looking to grow their skills in data analytics and applied AI in a business setting. Key Responsibilities Data Management & SQL Write, optimize, and maintain SQL queries for data extraction and reporting Perform data cleaning, transformation, and validation Work with relational databases (e.g., SQL Server, MySQL, PostgreSQL) Assist in building data pipelines and ETL processes Power BI & Data Visualization Develop interactive dashboards and reports using Power BI Create data models, DAX calculations, and KPIs Translate business requirements into insightful visualizations Ensure data accuracy and consistency in reports AI/ML Programming (Python) Assist in developing and deploying basic machine learning models Use Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn Perform exploratory data analysis (EDA) Support predictive analytics and automation use cases Document and maintain code for reproducibility Collaboration & Support Work with business stakeholders to understand data requirements Support senior data scientists or analysts in ongoing projects Prepare reports, presentations, and documentation Continuously learn and adopt recent tools and technologies Required Skills & Qualifications Education Bachelors degree in Computer science, Data Science, Engineering, Statistics, or related field Technical Skills SQL: Robust fundamentals (joins, subqueries, aggregations, window functions preferred) Power BI: Report building, DAX basics, data modelling Python: Basic to intermediate proficiency Familiarity with AI/ML concepts (regression, classification, clustering) Experience with Excel for data analysis Soft Skills Strong analytical and problem-solving ability Good communication and presentation skills Ability to work independently and in a team Eagerness to learn and grow in AI and data analytics
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