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Assistant CMI Manager - Predictive Analytics

Unilever PLC

Mumbai, Maharashtra, 400047

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Salary:

$90000 - $100000 Year

Job type:

Monday to Friday

Job Schedule:

Day shift

Job benefits:

Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others

Description:

Assistant CMI Manager - Predictive Analytics
Job ID: R-82130
Category: Marketing
Location: Mumbai, Maharashtra


ABOUT UNILEVER:

Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

ABOUT THE ROLE:

This is an exciting role to enable growth of the personal care business by bringing insights through analytics, market insights and PDC. It is a future fit role as it enables the candidate to build skills that would be required in the future.

The candidate will be part of the Global personal care PDC and analytics team focusing on all PC categories and will be responsible for analyzing a wide range of data to help inform marketing, brand and business strategies. They will ensure that internal briefs are translated into analytical projects and will be responsible for ensuring the analysis is relevant for their specific category or market. They will be comfortable using a wide range of analytical tools to help with their analysis and be familiar with both digital data such as social and search right through to traditional business data such as penetration and brand equity. The individual will be responsible for providing quantitative and qualitative analysis and insight on PDC projects, whilst working alongside specialist external analysts where required. As such they need to be comfortable working on their own analytics projects and be able to work with specialist experts on larger, more complex briefs.

We are looking to hire a resource in our CMI Predictive Analysis Team based in Mumbai HO.

RESPONSIBILITIES:

Primary Responsibilities

Work closely with the PDC / MI Manager to translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)
Conduct analysis using in-house analytics tools, and be comfortable analyzing a range of social and business data
Building and testing basic queries on in-house social and search data tools
Building and maintaining dashboards for internal customers using internal visualization tools
Provide qualitative and quantitative analysis and insight to inform business strategy, marketing and brand strategies, digital marketing content and strategy, communications, and new product development
Synthesizing data and analysis into impactful, action-orientated reports for internal stakeholders
Able to communicate the key findings and insight to senior stakeholders and peers both conversationally and in formal presentation style
Monitor progress of deliverables and actively work with delivery analysts in other parts of the business or agencies who will not be co-located on complex briefs
Maintain knowledge of previous analysis to avoid duplication and to share learnings from relevant past projects
Arrange a follow-up meeting with customers after they have received their analysis to ensure that it has been helpful and document any scope for improvements to the service
Secondary Responsibilities

Maintain a catalogue of previous requests/projects and own the central database of case studies / outputs
Proactively flags any workloads issues or problems to the PDC Insight Manager and identifies opportunities for new services based on demand
Updates workflow trackers
Uploads briefs & deliverables to PeopleWorld

KEY REQUIREMENTS:

Primary Traits (required)

Experience in an analytical role and providing insight and recommendation based on analysis
Some experience of using analytical tools
Some data modelling or query building experience
Experience of “storytelling” in a corporate context, and crafting clear, compelling messaging
Secondary Traits (‘nice to have’)

Experience of understanding business questions and writing appropriate briefs
Experience of social analytics or NLP tools
Experience briefing technical teams and being able to translate business objectives into analytical hypotheses
Passion for the digital world and its implications for business
INTERFACES:

The role will have global scope and deal with Personal Care
The job holder will not have any people management responsibilities but will commission work to agencies when required
The job holder will have to work with other Insights Analysts to share learnings and ensure that an equal quality of output is being achieved
The job holder will have to ensure that briefs are completed by the analytical pool to the required standard and in a way that answers the original request

Skill:

Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others

Others Requirements:

Experience in an analytical role and providing insight and recommendation based on analysis

Category:

Manufacturing

Positions:

On going position

Location:

In-person