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Mars

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

Location:  IND-Telangana-Hyderabad | THA-Chon Buri-Chonburi | India
Location flexibility:  1 office day / week, 2 office days / week, 3 office days / week, 4 office days / week
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Job Description

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.

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Working at Mars

Hybrid

Core hours 11–3

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
Sabbaticals
Enhanced maternity leave – 26 weeks at 90% pay
Enhanced paternity leave – 26 weeks at 90% pay
24 days annual leave + bank holidays
“Pawternity” leave
Pregnancy loss leave
Bank holiday swaps
Shared parental leave
Adoption leave
Family health insurance
Pregnancy support
Neonatal leave
Faith rooms
Meditation space
Dog friendly office
Dog friendly co-working space
Annual bonus
Employee discounts
Cinema discounts
Referral bonus
Joining bonus
Cycle to work scheme
Electric Car Salary Sacrifice
Enhanced pension match/contribution
Theme park discounts
Lunch and learns
In house training
Learning license
Studying sabbaticals
Open to part time work for some roles
Menopause support
On-site gym
On-site barista
Secure on-site parking
On-site catering
Private booths
On-site wellness room
Collaboration spaces

Awards & Accreditations

1st - Most Family Friendly Company

1st - Most Family Friendly Company

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3rd - Best Workplace Benefits

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Top 5 - Most loved - Large companies

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Top 10 - Best Work-Life Balance

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Top 10 - Best Work-Life Balance

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Top 10 - Best Career Progression

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Best Workplace Culture

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1st – Large companies

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Flexa100 2024
Consumer Goods

Consumer Goods

Industry awards 2023
3rd – Large companies

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Retail & Ecommerce

Retail & Ecommerce

Industry awards 2022
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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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Company employees:

4,000 In the UK

Gender diversity (m:f):

57:43

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