R&D Functional Expert - Data & Analytics, Reporting and Automation; Mars Global Services; Hyderabad

Mars; Hyderabad; In loco; INR 3.000.000 - 6.000.000; Tempo pieno

Descrizione del lavoro

Mars Hyderabad seeks a senior Data & Analytics leader to shape data strategy, build robust data infrastructure, and deliver actionable insights. You will mentor teams, collaborate with FE/FAs and senior leaders, and drive data-driven decision making across the organization.

You will oversee data warehousing, reporting, and automation initiatives using Mars sanctioned BI tools and modern analytics practices, ensuring data quality and security across programs.

Competenze

• Bachelor's degree in IT, engineering, or science.
• Minimum of 5 years’ experience in R&D, data, or DT/Business partnership.
• Experience with R&D or Quality systems is required.
• Experience with data-related roles is preferred.

Mansioni

• Design and implement data strategy aligned with business goals.
• Mentor and develop team members; foster a data-driven culture.
• Collaborate with FE/FAs and senior managers; communicate insights to non-technical audiences.
• Oversee data warehousing, pipelines, data quality, and data integration.
• Develop and maintain reporting frameworks and dashboards; provide actionable insights.
• Lead automation to improve efficiency; optimize data processes.
• Stay current with data analytics trends; evaluate tools and ensure data security.

Conoscenze

Data warehousing

SQL

Power BI

Python/R

Leadership

Stakeholder management

Automation (RPA/Scripting)

Data governance

Formazione

Bachelor's degree in IT/Engineering/Science

Strumenti

Atlas MTR

Veritas

Nexus

Ara RMS

Descrizione del lavoro

Job Description:

Job Responsibilities:

Strategic & Leadership Accountabilities

• Data Strategy Development:
  • Help design and implement D&A strategy aligned with our goals.
  • Identify and prioritizing key areas of data-driven improvement.
• Leadership & Team Building:
  • Mentoring and developing team members where required.
  • Fostering a data-driven culture within our org.
• Stakeholder Management:
  • Collaborating with our FE/FAs and senior managers to understand their needs and provide data-driven solutions.
  • Communicating complex data insights to non-technical audiences.
  • Acting as a trusted advisor on data and analytics matters.

Technical & Operational Accountabilities

• Data Infrastructure & Management:
  • Oversee the design and implementation of data warehousing, data pipelines and data integration processes for our FE Org.
  • Ensuring data quality, accuracy and integrity.
• Reporting & Analytics:
  • Developing and maintaining robust reporting frameworks and dashboards.
  • Conducting in-depth data analysis to identify trends, patterns and insights.
  • Providing actionable recommendations based on data analysis.
  • Support CRD owned capabilities (where handed over to D&A)
  • Manage and lead testing and training of CRD owned projects.
  • Conduct doctor sessions with FE and Segment based stakeholders for analytical capabilities.
  • Lead community of practices with segments to upskill in D&A capabilities.
  • Track adoption and utilization of D&A owned capabilities.
• Automation & Process Improvement:
  • Identify and implementing automation opportunities to improve efficiency and reduce manual effort.
  • Optimizing data processes and workflows.
  • Implementing Mars DT sanctioned Business Intelligence tools.
• Technology & Innovation (Partnering with MGS DT to):
  • Stay abreast of emerging trends and technologies in data & analytics.
  • Evaluate and recommend tools and technologies.
  • Ensure compliance with data security and privacy.

Key Capabilities

Technical

• Data Warehousing and Data Management:
  • Proficiency in data warehousing concepts and technologies.
  • Strong SQL, M Query and DAX skills for data query and manipulation.
  • Understanding of database design and management.
• Business Intelligence (BI) Tools:
  • Expertise and experience in Mars DT sanctioned reporting tools e.g. Power BI for data visualization and reporting.
  • Ability to create interactive dashboards and reports.
• Data Analysis and Statistical Skills:
  • Strong analytical and problem-solving skills.
  • Ability to interpret complex data and identify trends.
  • Familiarity with statistical methods and techniques.
• Automation Technologies:
  • Understanding of automation tools and techniques (e.g. Robotic Process Automation (RPA), scripting).
  • Ability to design and implement automated data processes.
• Data Governance and Quality:
  • Knowledge of data governance principles and practices.
  • Ability to ensure data quality and integrity.
  • Knowledge of Data pipelines, and ETL processes.
• Programming Languages:
  • Proficiency in languages like Python or R, for data manipulation and analysis is very beneficial.

Strategic and Leadership

• Strategic Thinking:
  • Ability to develop and implement data strategies aligned with SPOC and business goals.
  • Ability to identify and prioritize data-driven opportunities.
• Leadership and management:
  • Ability to lead and motivate without direct authority.
  • Strong communication and interpersonal skills.
  • Ability to foster a data-driven culture.
• Stakeholder Management:
  • Ability to communicate complex data insights to non-technical audiences.
  • Ability to build relationships with stakeholders at all levels.
  • Strong presentation skills.
• Problem-Solving:
  • The ability to find solutions to complex data problems.
• Change Management:
  • The ability to drive change within our organization.

Context and Scope

The role works effectively with various stakeholders and functions in Corporate, Segment Data custodians and in Mars Digital Team to improve our digital R&D products, to enable compliance with our R&D process and ensure user friendliness & efficiency using the R&D systems. There will be some travel required within the region.

SCOPE

This role will work very closely with our team of FE/FAs to drive our D&A, reporting and automation initiatives.

The complete portfolio of R&D digital capabilities is:

• Data & Analytics reporting – Mission control, Spire, Eagle, Horizon Scanning
• Market traceability systems – Atlas MTR, Agnostic
• Inbound traceability & Testing and conformance systems – Atlas, RCLMS
• Specification management systems – Veritas
• Recipe management systems – Ara, RMS
• Core Quality Management systems – Nexus
• Quality Risk management systems – Nexus
• Supplier & Material Quality Management systems – Nexus
• Science & Regulatory Affairs management systems – Claims

Education & Professional Qualifications

• - Minimum bachelor’s degree in IT, engineering, or science discipline.
• - Minimum of 5 years’ experience in R&D, R&D systems, data, Supply or DT/Business partnership.
• - Experience with R&D or Quality systems required.
• - Experience with a data related role preferred.

Knowledge/Experience

• Good understanding of data process
• Excellent networker, easily builds rapport remotely

• Excellent communication skills (oral and written). Fluent in English

• Understanding and use of Automation technologies preferred (e.g. RPA, Scripting)