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

Job Description:

Job Responsibilities:

Strategic & Leadership Accountabilities

- Data Strategy Development:

o   Help design and implement D&A strategy aligned with our goals.

o   Identify and prioritizing key areas of data-driven improvement.

- Leadership & Team Building:

o   Mentoring and developing team members where required.

o   Fostering a data-driven culture within our org.

- Stakeholder Management:

o   Collaborating with our FE/FAs and senior managers to understand their needs and provide data-driven solutions.

o   Communicating complex data insights to non-technical audiences.

o   Acting as a trusted advisor on data and analytics matters.

Technical & Operational Accountabilities

Data Infrastructure & Management:

o   Oversee the design and implementation of data warehousing, data pipelines and data integration processes for our FE Org.

o   Ensuring data quality, accuracy and integrity.

Reporting & Analytics:

o   Developing and maintaining robust reporting frameworks and dashboards.

o   Conducting in-depth data analysis to identify trends, patterns and insights.

o   Providing actionable recommendations based on data analysis.

o   Support CRD owned capabilities (where handed over to D&A)

o   Manage and lead testing and training of CRD owned projects.

o   Conduct doctor sessions with FE and Segment based stakeholders for analytical capabilities.

o   Lead community of practices with segments to upskill in D&A capabilities.

o   Track adoption and utilization of D&A owned capabilities.

Automation & Process Improvement:

o   Identify and implementing automation opportunities to improve efficiency and reduce manual effort.

o   Optimizing data processes and workflows.

o   Implementing Mars DT sanctioned Business Intelligence tools.

Technology & Innovation (Partnering with MGS DT to):

o   Stay abreast of emerging trends and technologies in data & analytics.

o    Evaluate and recommend tools and technologies.

o   Ensure compliance with data security and privacy.

Key Capabilities

Technical

Data Warehousing and Data Management:

o  Proficiency in data warehousing concepts and technologies.

o  Strong SQL, M Query and DAX skills for data query and manipulation.

o  Understanding of database design and management.

Business Intelligence (BI) Tools:

o   Expertise and experience in Mars DT sanctioned reporting tools e.g. Power BI for data visualization and reporting.

o  Ability to create interactive dashboards and reports.

Data Analysis and Statistical Skills:

o   Strong analytical and problem-solving skills.

o   Ability to interpret complex data and identify trends.

o   Familiarity with statistical methods and techniques.

Automation Technologies:

o   Understanding of automation tools and techniques (e.g. Robotic Process Automation (RPA), scripting).

o   Ability to design and implement automated data processes.

Data Governance and Quality:

o   Knowledge of data governance principles and practices.

o   Ability to ensure data quality and integrity.

o   Knowledge of Data pipelines, and ETL processes.

Programming Languages:

o   Proficiency in languages like Python or R, for data manipulation and analysis is very beneficial.

Strategic and Leadership

Strategic Thinking:

o   Ability to develop and implement data strategies aligned with SPOC and business goals.

o   Ability to identify and prioritize data-driven opportunities.

Leadership and management:

o   Ability to lead and motivate without direct authority.

o   Strong communication and interpersonal skills.

o   Ability to foster a data-driven culture.

Stakeholder Management:

o   Ability to communicate complex data insights to non-technical audiences.

o   Ability to build relationships with stakeholders at all levels.

o   Strong presentation skills.

Problem-Solving:

o   The ability to find solutions to complex data problems.

Change Management:

o   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)