2,533 Transportation Analyst jobs in India

• Analyze transportation data to identify trends, patterns, and opportunities for network optimization.
• Develop and maintain transportation models to evaluate cost, service, and efficiency trade-offs.
• Optimize transportation routes and schedules to minimize transit times and costs.
• Evaluate carrier performance and identify opportunities for negotiation and service improvement.
• Support the design and implementation of new transportation strategies and network changes.
• Utilize advanced analytics and data visualization tools (e.g., Tableau, Power BI) to present findings and recommendations to stakeholders.
• Develop key performance indicators (KPIs) and dashboards to monitor transportation network performance.
• Forecast transportation demand and capacity requirements.
• Collaborate with internal teams (e.g., Supply Chain, Operations, Sales) to understand their transportation needs and provide solutions.
• Identify and implement technology solutions to enhance transportation visibility and efficiency.
• Stay abreast of industry trends, best practices, and regulatory changes in transportation and logistics.
• Conduct cost-benefit analyses for proposed transportation initiatives.
• Develop and maintain relationships with key transportation partners and vendors.
• Train and mentor junior analysts on data analysis techniques and transportation principles.
• Prepare comprehensive reports and presentations for senior management.

• Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, Mathematics, Economics, or a related quantitative field. A Master's degree is preferred.
• Minimum of 5-7 years of experience in transportation analysis, logistics planning, or supply chain optimization.
• Strong proficiency in data analysis tools and techniques, including statistical modeling and forecasting.
• Experience with transportation management systems (TMS) and supply chain planning software.
• Expertise in data visualization tools such as Tableau or Power BI.
• Advanced skills in Microsoft Excel, including complex formulas, pivot tables, and VBA.
• Knowledge of optimization software and techniques is a plus.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and presentation skills, with the ability to convey complex information clearly.
• Ability to work effectively both independently and as part of a collaborative team in a hybrid work environment.
• Understanding of freight transportation modes (e.g., LTL, FTL, Ocean, Air) and their characteristics.
• Experience in network design and simulation is advantageous.

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Python or R.
• Good understanding of SQL and database concepts.
• Familiarity with data visualization tools is a plus.
• Excellent communication and teamwork skills.
• Eagerness to learn and develop expertise in data analysis.