Data Analyst - Digital Engineering

TE Connectivity India Pvt Ltd

Bengaluru

On-site

INR 900,000 - 1,300,000

Full time

14 days+

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Benefits offered by this job

Competitive Salary Package

Performance-Based Bonus Plans

Health and Wellness Incentives

Employee Stock Purchase Program

Community Outreach Programs / Charity

Employee Resource Group

Job summary

TE Connectivity India Pvt Ltd is seeking a Data Analyst - Digital Engineering to support and optimize critical databases, reporting tools, and data-driven applications in Bengaluru. You will translate business requirements into reliable reporting, develop predictive analytics, and contribute to reusable analytics workflows.

The role involves SQL/PLSQL development, data integration across Oracle, Denodo, PostgreSQL, and Excel, and building dashboards with SAP BI objects, Power BI, or Tableau.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or related field.
Strong experience with SQL, Oracle databases, and PL/SQL development.
Experience with Oracle tools such as TOAD, SQL Developer, or PL/SQL Developer.
Hands-on experience supporting Microsoft Access applications and VBA.
Strong Microsoft Excel and reporting skills.
Experience with database connectivity technologies including ODBC/OLE DB.
Proficiency in Python or R for data analysis, visualization, automation, and statistical modelling.
Strong foundation in statistics and predictive analytics.
Experience combining, cleansing, validating, and analyzing data from multiple systems.
Strong analytical, troubleshooting, communication, and stakeholder-management skills.
Knowledge of AI/GenAI concepts, output validation, data privacy, and responsible AI practices.
Understanding of data governance, security, lineage, metadata, and documentation standards.

Responsibilities

Develop, maintain, troubleshoot, and optimize SQL and PL/SQL solutions.
Create and maintain Oracle database objects and support Oracle tools such as TOAD and SQL Developer.
Troubleshoot database and application issues.
Support data integration across Oracle, Denodo, PostgreSQL, Microsoft Access, Excel, and file-based sources.
Maintain Microsoft Access applications, including VBA-based solutions.
Develop reports and dashboards using SAP BusinessObjects, Power BI, Tableau, or similar tools.
Automate reporting processes, scheduled jobs, file transfers, and recurring operational activities.
Validate data to ensure reporting accuracy and consistency.
Collect, cleanse, transform, and analyze structured and unstructured data.
Conduct exploratory, statistical, trend, segmentation, and hypothesis-testing analyses to generate business insights.
Develop reusable analytical workflows using SQL and Python or R.
Develop predictive models, KPIs, and dashboards to support business decisions.
Apply data governance, privacy, security, data quality, and responsible AI requirements throughout the analytics lifecycle.
Use AI and GenAI to enhance analysis, automate reporting, and improve processes while ensuring responsible use.
Collaborate with cross-functional teams and mentor junior analysts.

Skills

SQL

OracleDB

PL/SQL

Python/R

Data governance

AI concepts

Statistics

Data visualization

Education

Bachelor's degree (CS/IT/Data Analytics/Engineering)

Tools

TOAD

SQL Developer

TOAD/SQL Developer

Power BI

Tableau

SAP BusinessObjects

Denodo

PostgreSQL

Git

Job description

DATA ANALYST - DIGITAL ENGINEERING

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

We are seeking a technically strong Data Analyst - Database & Reporting Solutions to support business-critical databases, reporting tools, and data-driven applications. The role will deliver advanced analysis across multiple datasets, convert complex data into actionable recommendations, and contribute to predictive and reusable analytics solutions. The successful candidate will maintain and enhance data solutions, optimize SQL queries, automate reporting, troubleshoot production issues, and translate business requirements into reliable reporting and analytics solutions.

Roles & Responsibility

Develop, maintain, troubleshoot, and optimize SQL and PL/SQL solutions.
Create and maintain Oracle database objects and support Oracle tools such as TOAD and SQL Developer.
Troubleshoot database and application issues.
Support data integration across Oracle, Denodo, PostgreSQL, Microsoft Access, Excel, and file-based sources.
Maintain Microsoft Access applications, including VBA-based solutions.
Develop reports and dashboards using SAP BusinessObjects, Power BI, Tableau, or similar tools.
Automate reporting processes, scheduled jobs, file transfers, and recurring operational activities.
Validate data to ensure reporting accuracy and consistency.
Collect, cleanse, transform, and analyze structured and unstructured data.
Conduct exploratory, statistical, trend, segmentation, and hypothesis-testing analyses to generate business insights.
Develop reusable analytical workflows using SQL and Python or R.
Develop predictive models, KPIs, and dashboards to support business decisions.
Apply data governance, privacy, security, data quality, and responsible AI requirements throughout the analytics lifecycle.
Use AI and GenAI to enhance analysis, automate reporting, and improve processes while ensuring responsible use.
Collaborate with cross-functional teams and mentor junior analysts.

Desired Candidate Profile

Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field.
Strong experience with SQL, Oracle databases, and PL/SQL development.
Experience with Oracle tools such as TOAD, SQL Developer, or PL/SQL Developer.
Hands-on experience supporting Microsoft Access applications and VBA.
Strong Microsoft Excel and reporting skills.
Experience with database connectivity technologies including ODBC/OLE DB.
Proficiency in Python or R for data analysis, visualization, automation, and statistical modelling.
Strong foundation in statistics and predictive analytics.
Experience combining, cleansing, validating, and analyzing data from multiple systems.
Strong analytical, troubleshooting, communication, and stakeholder-management skills.
Knowledge of AI/GenAI concepts, output validation, data privacy, and responsible AI practices.
Understanding of data governance, security, lineage, metadata, and documentation standards.
Knowledge of data governance, privacy, security, data lineage, and responsible AI.

Preferred Qualifications

Experience with one or more of the following: Denodo, PostgreSQL, ETL, or data-integration technologies
Power BI, Tableau, or SAP BusinessObjects
Git and collaborative development practices
Cloud data platforms such as Azure, AWS, Snowflake, Databricks, or Spark Analytics engineering and workflow orchestration tools
MLOps practices and model lifecycle management
Engineering, manufacturing, quality, supply chain, or operations analytics

Key Competencies

Analytical thinking and problem solving
Attention to detail and data quality
Root cause analysis and troubleshooting
Data storytelling and communication
Business acumen and stakeholder engagement
Cross-functional collaboration
Documentation and knowledge sharing
Commitment to data ethics and responsible AI
Competencies SET : Strategy, Execution, Talent (for managers)

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter).

WHAT TE CONNECTIVITY OFFERS