Senior Consultant, Data Operations

Daimler Truck AG

. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies .

Posted 11/2/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including exploratory data analysis (EDA), data cleaning, and preprocessing. Proficient in building data pipelines and applying statistical techniques to drive data-informed decisions.

Highest-signal resume keywords

PythonSQLData VisualizationData Pipeline BuildingBasic Machine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Exploratory Data AnalysisData CleaningData PreprocessingStatistical TechniquesData PreparationData ValidationData-Driven Problem SolvingAnalytical Thinking

Soft Skills

Collaborative WorkCross-Functional Teamwork

Certifications & Qualifications

BEB.Tech

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
Apply basic statistical techniques to support data-driven decision-making
Clean, preprocess, and validate data for analysis
Perform data preparation
Work with data engineers to access and prepare datasets
Build data pipelines and contribute to business insights

Requirements

What you’ll need

BE, B.Tech
4–5 years of experience in data analysis, basic machine learning, and data-driven problem solving
Skilled in Python, SQL, and data visualization
Strong foundation in data pipeline building
Analytical thinking
Basic statistical techniques
Ability to clean, preprocess, and validate data
Collaborative work with cross-functional teams