Lead - Data Analytics - Manufacturing Industry

Job description

We are having an opening for Tech Lead Data Analytics - Manufacturing Industry

Bangalore - bellandur, - hybrid job

Working Days: Monday Friday

Job Timing: Day shift

Role Summary :

The Tech Lead Analytics is the technical owner of analytics solutions delivered by the Analytics CoE.

The role is responsible for endtoend technical design, delivery quality, scalability, and governance of analytics products, while partnering closely with Product Managers and Business Analysts.

The Tech Lead ensures that analytics solutions are built the right way, aligned to business intent, and compliant with Analytics CoE standards, while enabling predictable and highquality delivery across pods by building highperforming, continuously improving teams

Qualification : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or related discipline.

Number of post : 1

Office Location : Bangalore - bellandur, - hybrid job 3 days from office - onsite client location

Job Type : Full Time

Gender : Male/Female

Industry : IT

Experience : 9+ Years

Interview process : Total 3 Technical round

2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client

Key Responsibilities :

Functional & Domain Experience :

- 9+ years of experience in analytics, data engineering, or BI solutions

- Strong domain exposure in any of the areas like Order to Cash, Supply Chain, Sales, Finance, or Operations, Procurement, MM, MDM etc.

- Manufacturing Industry domain experience preferred.

- Experience delivering enterprisescale analytics solutions

Role Responsibilities :

Analytics Technical Solution Ownership :

- Own the endtoend technical design of analytics solutions within assigned pods or products

- Define futurestate analytics architecture, including data flows, integration patterns, and semantic layers

- Review and approve data models, pipelines, and reporting architectures

- Ensure solutions are scalable, performant, reusable, and maintainable

Partnership with Product Managers & Business Analysts :

- Partner with Product Managers to align technical execution with product vision and roadmap

- Translate business and analytics requirements into :

i. Technical designs

ii. Sprintready user stories

iii. Clear acceptance criteria

- Work closely with Business Analysts to clarify KPI logic, data definitions, and analytical intent

Technical Governance & Quality Assurance :

- Enforce Analytics CoE technical standards, design principles, and best practices

- Review code, data pipelines, and models to ensure quality, consistency, and correctness

- Ensure data accuracy, integrity, lineage, and governance

- Own technical signoff for releases and production readiness

Delivery Leadership & Execution :

- Act as the technical leader within analytics delivery pods

- Lead sprint planning, estimation, sequencing, and dependency management from a technical standpoint

- Own technical delivery commitments, risks, and mitigation plans

- Communicate timelines, risks, and tradeoffs to Product and CoE leadership

HandsOn Analytics & Data Expertise :

- Provide deep handson guidance across :

i. SAP BW / HANA / S/4 data models

ii. ETL / ELT pipelines

iii. Cloud platforms (AWS, Snowflake, etc.)

- Support complex data analysis and troubleshooting

- Deconstruct and rationalize existing analytics solutions when required

Stakeholder Communication & CrossTeam Coordination :

- Act as the technical interface to business stakeholders, IT, and platform teams

- Explain technical decisions and constraints in businessfriendly language

- Coordinate with architects, platform teams, and upstream system owners

Team Leadership & Mentorship :

- Lead, mentor, and develop analytics engineers, BI developers, and data engineers

- Provide technical guidance, coaching, and regular feedback

- Support skill development plans aligned to Analytics CoE capability needs

- Foster a culture of ownership, learning, and engineering excellence

- Set clear expectations for team members aligned to delivery goals and quality standards

- Conduct performance reviews and provide structured development feedback

- Identify skill gaps and work with CoE leadership on training or hiring needs

- Recognize and reward strong technical and delivery contributions

- Plan and manage team capacity across sprints and releases

- Support staffing decisions for pods and projects

- Balance delivery commitments with sustainable team workload

- Onboard new team members and ensure smooth integration into pods

- Promote collaborative, productoriented ways of working

- Encourage adherence to Agile and DevOps practices

- Foster strong collaboration between engineering, BA, product, and platform teams

- Act as a role model for technical ownership and professional conduct

Technical Skills :

- Strong handson experience with :

i. SAP Analytics, Data Warehousing and ETL / ELT

ii. Cloud platforms (GCP, AWS, Snowflake)

iii. SAP, Salesforce, or any other ERP Data experience and knowledge.

- Strong understanding of :

i. Data modelling and semantic layers

ii. Analytics architecture and integration patterns

- Experience with BI platforms (Power BI, Looker, Tableau, Qlik, etc.)

- SQL and Python knowledge is preferred.

- BW HANA experience is a very big advantage.

- Support complex data analysis, troubleshooting, and solution rationalization

- Guide teams in modern analytics and data engineering practices

Soft Skills :

- Strong technical leadership and ownership mindset

- Proven experience leading and developing technical teams

- Excellent communication and stakeholder management skills

- Ability to influence without authority

- Structured problemsolving and decisionmaking ability

- Strong coaching, mentoring, and feedback skills

- Ability to influence and motivate teams without micromanagement

- Strong communication and conflictresolution skills

- Comfortable managing teams in a fastpaced, productbased delivery environment

Joining : Immediate / 15 Days

Role : Analytics / BI Manager

Industry Type : IT Services & Consulting

Department : Data Science & Analytics

Employment Type : Full Time, Permanent

Role Category : Business Intelligence & Analytics

Education :

UG : Any Graduate