Senior Data Analyst

Rotork; Chennai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Rotork seeks a data analytics specialist to bridge raw engineering data and business insights during a global Dynamics 365 rollout. You will analyze data, build dashboards, and ensure high-quality data for migration and decision-making across engineering and CPQ teams.

You will use SQL, Python/R, ETL workflows, and Power BI to deliver automated reports and insights. This role requires 5–8 years of experience in data analysis within engineering or manufacturing contexts and a strong eye for data

Qualifications

• Bachelor’s degree in engineering, mathematics, computer science, or related field.
• 5–8 years of data analytics experience in engineering or manufacturing.
• Strong knowledge of databases and data manipulation.
• Proficient in Power BI and Excel for reporting.
• Ability to translate data into actionable insights for stakeholders.

Responsibilities

• Identify, analyze, and interpret trends in complex data to support D365 deployment.
• Develop and maintain automated reports and dashboards for project progress.
• ETL data between legacy systems and D365 with data quality checks.
• Collaborate with global engineering teams and senior leadership.
• Define data profiling and cleansing routines to ensure single version of truth.

Skills

SQL

Python

R

ETL frameworks

Power BI

Excel

MS Access

Education

Bachelor's degree in Engineering, Mathematics, Computer Science, or related field

Tools

Power BI

Excel

MS Access

SQL

Job description

Rotork is the market-leading global flow control and instrumentation company, helping our customers manage the flow or liquids, gases and powders across many industries worldwide.

Our purpose is Keeping the World Flowing for Future Generations.

Job Description

Join our dynamic and specialised team in a key role that will truly make a difference.As part of this team, you will act as the bridge between raw Engineering data and actionable business intelligence, contributing to one of the largest MS Dynamics 365 rollouts globally.

You will be embedded within the deployment team, focusing on theintegrity, analysis, and visualizationof data to ensure an accelerated and successful rollout of the Microsoft Dynamics 365 solution. You will interpret complex data sets,identifytrends, and provide the Engineering teams with the insights needed tooptimizeproduct structures and configurations. You willbe responsible forensuring that the global transition to D365 is backed by high-quality, validated data.

Main Responsibilities:

Data Insight & Trends:Identify, analyse, and interpret trends or patterns in complex data sets using statistical techniques to support D365 deployment.

Reporting & Dashboards:Develop andmaintainautomated reporting capabilities (Power BI/Excel) tomonitordata cleanliness and project progress.

ETL Management:Extract, transform, and load (ETL) Engineering and CPQ data, ensuring seamless flow between legacy systems and D365.

Data Quality Assurance:Define and implement data profiling and cleansing routines to ensure "single version of truth" accuracy through all migration test cycles.

Stakeholder Communication:Present analysis results and data-driven solutions to senior leaders and internal customers to influence project timescales and strategy.

Process Improvement:Locateand define new process improvement opportunities for data collection and management.

Migration Support:Support production cut-over and provide early-life support by resolving data-related discrepancies in real-time.

Required Skills and Experience:

Technical Proficiency:Strong knowledge of and experience withdatabases (SQL, etc.)and programming for data manipulation (Python, R, or ETL frameworks).

Advanced Analytics:Expertisein Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, SUMPRODUCT), MS accessand data visualization tools likePower BI.

Data Lifecycle Knowledge:Proven experience in data profiling, Master Data Management (MDM), data cleansing, and complex data migrations.

Analytical Mindset:Strong ability to collect, organise, anddisseminatesignificant amounts of information with meticulous attention to detail and accuracy.

Problem Solving:Demonstratedability toidentify, investigate, and resolve data anomalies within large, complex datasets.

Communication:Ability to effectively communicate technical data findings to a non-technical audience and build relationships across global Engineering teams.

Agility:Comfortable working to tight deadlines and adept at switching priorities in a fast-paced environment.

Qualifications

This role is perfect for someone -

Who holds a bachelor’s degree in engineering, Mathematics, Computer Science, or a related fieldand with a professional experience of 5 - 8 years. You should be someone who thrives in a process-driven environment, excels at delivering end-to-end data solutions, and is technically oriented yet capable of influencing project stakeholders. You are disciplined, proactive, and passionate about turning data into a strategic asset.

Decision-Making:Able to make data-backed decisions quickly during critical project phases.

Analytical Rigor:A methodical approach to troubleshooting and data validation.

Adaptability:Able to cope with the unexpected and manage data issues effectively during system transitions.

Collaborative Spirit:A team player who shares insights butdemonstratesa high levelof individual initiative.

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