Data Analyst

Role Overview:

We are seeking two dynamic and detail-oriented Data Analysts to join our DCM Shriram - Digital team. These roles will align with advanced data analytics, reporting, and decision support. The ideal candidates will play a key role in ensuring the organization continues to leverage data-driven insights for operational efficiency and strategic planning.

Key Responsibilities:

Data Management and Analysis:

· Collect, clean, and validate data from various sources, including SAP, KM (Knowledge Management) tools, and IoT systems.

· Perform statistical analyses and create visualizations to identify trends, patterns, and actionable insights.

· Manage and analyse datasets related to inventory, production, and operational performance, ensuring accuracy and reliability.

Reporting and Dashboards:

· Develop and maintain dashboards using tools like Power BI, Tableau, and KM systems to track KPIs.

· Automate recurring reports and provide ad-hoc analytics support to various departments.

· Collaborate with stakeholders to deliver customized reports and insights for decision-making.

Advanced Analytics and Insights:

· Conduct predictive and prescriptive analyses to forecast trends and optimize processes.

· Leverage machine learning models and statistical methods to address operational challenges.

· Perform root cause analysis for anomalies and recommend actionable solutions.

Process Improvement:

· Oversee data integration from DCS, PLC, and IoT devices into centralized systems like Historian and KM.

· Drive data quality initiatives and streamline data workflows to improve reporting accuracy.

· Support the adoption of digital transformation projects, including inventory optimization and energy efficiency analysis.

Collaboration and Training:

· Work closely with cross-functional teams, including operations, engineering, and finance, to align data strategies with business goals.

· Provide training and support to users on data interpretation, dashboard usage, and analytics tools.

Required Qualifications and Skills:

· Education: Bachelor’s degree in Engineering (Preferred Electronics and communication), Data Analytics, Statistics, or related field.

· Experience: 2-4 years in data analytics, preferably in manufacturing, FMCG, or industrial domains.

· Technical Skills:

o Proficient in Excel, SQL, Python/R, and data visualization tools (Power BI, Tableau).

o Familiarity with SAP modules, KM dashboards, and IoT data sources.

o Knowledge of predictive modeling, statistical analysis, and machine learning techniques.

· Soft Skills:

o Strong analytical and problem-solving skills.

o Excellent communication and collaboration abilities.

o Detail-oriented with a focus on data accuracy.

Preferred Skills:

· Experience working with networking and firewalls for real-time data integration.

· Exposure to Industry 4.0 concepts, including CBMS and digital twins.

· Hands-on experience with scripting and automation of reports.