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LEGO

Analytics and Insights Partner

LEGO is hiring an Analytics and Insights Partner in Mumbai, India. Level rates it ; you can apply on LEGO.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks among its tools and skills.
  • LEGO has 440 other open roles on Level.
  • Posted in the last few days.

AI in this role

databricks

Job Description

We are seeking a hands-on Analytics & Insights Partner to act as a strategic commercial advisor, delivering data-driven insights that advise decisions, optimise performance, and drive commercial growth. 

As a key member of the India business unit, you will combine business insight, analytical expertise, and storytelling skills to support both short-term goals and long-term strategies.    

As part of the Global Analytics & Insights team, you will also contribute to innovation and capability development, continuing our transformation towards a world class analytics organization.

No relocation assistance is offered for this position

Core Responsibilities   

  • Strategic Advisory: Collaborate with leadership to develop tailored commercial analytic insights and track key performance metrics.   

  • Performance Analysis & Insights: Provide deep-dive analyses on commercial performance, uncovering actionable insights. 

  • Storytelling: Translate complex data insights into compelling narratives for non-technical partners.  

  • Forecasting & Advanced Analytics: Apply statistical modelling and forecasting tools to anticipate trends and inform strategies.  

  • Cross-Functional Collaboration: Partner with cross-functional teams to influence business decisions and collaborate with regional and global colleagues to drive analytics innovation. 

  • Independent Project Management: Lead ad hoc initiatives, resolve conflicts, and deliver insights with minimal guidance.  

Key Deliverables:   

  • Analyse data from pricing, promotions, and product mix to identify growth opportunities and mitigate risks.  

  • Build datasets and dashboards required for commercial performance insights.  

  • Integrate insights from industry and shopper data to inform commercial strategies.   

  • Implement tools and guide decision-making through insights.  

  • Train stakeholders on self-service data tools and recommend additional solutions.  

  • Support “test and learn” experiments, providing clear evidence and learnings.  

 Do you have what it takes?  

  • Experienced in data analysis and commercial data insights roles, preferably in consumer goods, retail or consultancy company. 

  • Leadership maturity: Comfortable operating independently with leadership presence, maturity and influence.

  • Ability to present insights and make compelling recommendations in a clear and actionable format for diverse audiences.  

  • Strong understanding of market trends, performance drivers, and consumer behaviour.  

  • Intermediate expertise in Power BI, SQL, Python, and tools like Snowflake and Databricks.   

  • Proficient in data modelling, exploratory analysis, and statistical techniques.  

  • Skilled in partnering with cross-functional teams and influencing decisions. Proven experience in building dashboards and structuring datasets.  

#LI-JY2


Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.



What’s in it for you?


Here is what you can expect:


Family Care Leave - We offer enhanced paid leave options for those important times.


Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.


Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.


Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.


Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.


Your workplace: Your workplace will be the office, store or factory specified in this advert.


Hybrid Working: Our hybrid work model, Best of Both offers you the option of flexibility to work from home up to two days per week. Your People Leader will discuss the principles of the model, including how this option applies to your role and team.

Learn more about our benefits, culture and workplace experience here


Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.


The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.


The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.


Thank you for sharing our global commitment to Children’s Rights.


Just imagine building your dream career.

Then make it real.

Join the LEGO® team today.


How we rate this

Analytics and Insights Partner at LEGO rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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