R&D Functional Expert - Data & Analytics, Reporting and Automation; Mars Global Services; Hyderabad
Mars (External) Open At a glance
Mid-level Data Analysis & BI role at Mars (External). IND-Telangana-Hyderabad · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape data priorities with stakeholders, then focus effort on the improvements that matter most
- Oversee FE data warehouses, pipelines and integrations, keeping information accurate and dependable
- Build reporting frameworks and dashboards, analyze trends, and turn findings into practical recommendations
- Lead testing, training and adoption for transferred CRD capabilities, while developing analytical skills across segments
- Find ways to automate data work, improve workflows and apply Mars DT-approved BI tools
What you bring
- At least a bachelor’s degree in IT, engineering, science or a related listed discipline
- Five or more years across R&D, R&D systems, data, supply or DT/business partnership
- Previous work with R&D or Quality systems is required
- Strong SQL, M Query and DAX skills, plus experience with Power BI or another listed reporting tool
Who this fits
This role suits someone who can connect data and reporting work with R&D systems, and explain complex findings to non-technical stakeholders. You’ll work with FE/FAs, corporate and segment data custodians, and the Mars Digital Team. Regional travel is required, and the role calls for fluent English.
From the employer
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)
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