From fast answers to deep insights, Mintel has provided research and intelligence solutions to consumer-focused businesses for more than 50 years. With a combination of world-class syndicated tools and custom insight solutions, we are the eyes and ears in the markets that matter and the insights behind our clients’ next big idea.

We are looking for a Technical Data Analyst / Applied Data Scientist to support our custom solution delivery. This role sits in the intersection between Mintel’s data science research team and our client-facing teams to create advanced analytics and data science deliverables directly for some of the world’s largest consumer goods companies and more. This role is perfect for a data analyst with experience working with Python who is looking to grow both their hard skills in Python, SQL and data science concepts while also staying close to business partners and stakeholders.

What You Will Be Doing:

You will collaborate with data scientists, other data analysts and Mintel’s client-facing teams to support you while you independently build and deliver custom analytics reports and deliverables for Mintel’s clients via consulting engagements. You will become well-versed in Mintel’s data and Mintel’s analytics capabilities: helping to expand their use in our products and services while also helping to shape ongoing innovation and evolution of those capabilities. You will fetch data as needed from Mintel’s data warehouse (SQL and Snowflake), mine that data for insight using Python Jupyter notebooks and established methodologies built by Mintel’s data science team, develop value-add data visualizations using Python graphing libraries and BI tools (Looker). You will develop a positive relationship with the team, our stakeholders and our clients; building relationships that allow you to identify new opportunities for data and analytics at Mintel. Collaborate with members of the Data Science and Analytics team globally to ensure a consistent approach to technical developments and that continued research and development work is aligned with the needs of our clients. This includes partnering with data scientists to develop new capabilities based on the needs of the consulting teams and our clients while working with your manager to enhance DS&A client offerings and custom data solutions. Continually learning - as a part of a fluid, innovation focused team, you will stay current on emerging data science technologies and other quantitative techniques.

 Who We are Looking For: 

Data-Driven: You understand the concepts of a data analytics lifecycle from requirements gathering through technical analysis to delivery. You are able to rapidly organize information, draw conclusions, identify patterns, and succinctly communicate key points and translate your knowledge visually. You are an expert in SQL, you are adept at wielding a BI tool like Looker, and you are familiar with using a programming language like R or preferably Python for data analysis. Naturally Curious: You are naturally curious, looking for new opportunities or technologies that could elevate yours or others work. A Great Communicator: You are an effective communicator who can discuss difficult technologies while also focusing on the audience to tailor discussions. You are comfortable in a client facing setting on occasion. You have the ability to transform complex data into clear, concise datasets/insights based on stakeholders’ requirement; and ability to convey complex analytical concepts to non-technical stakeholders. A Collaborator: You bring an energy to the table that encourages and develops internal relationships. You seek out opportunities to collaborate with peers in your department and across the organization. Commercially-Minded: You are dedicated to quality, ensuring accuracy and efficiency in your work to elevate the value of our offerings. Self-Directed: You take initiative to solve problems and uncover opportunities, and you are eager to take ownership and accountability for client deliverables. Committed to Personal Growth: You are committed to continuous learning and growth, constantly pushing yourself outside of your comfort zone to develop your skill set. Humble: You are humble, yet confident. You willingly admit when you need help, and you know how and when to utilize the resources and people around you. You are also willing to share your own knowledge for the benefit of the team. You should have 2-4 years of experience within data analytics and at least some exposure to stakeholder management. Having worked with data science teams and/or in a client facing setting (such as consulting) is a bonus. Willing to work  for at least one to two hours per week during overlapping hours with the US and EMEA time zones outside of normal working hours.

What We Offer:

A culture that supports true collaboration whilst embracing remote working. Flexible start time and end time. Blended (office/home) approach to work. Approach to personal development where we encourage individuals to grow and share what they’ve learned. Social events, both within the department and across the company. Generous annual leave and wider circle employee benefits. Additional one day off to celebrate your birthday. Membership in Employee Resource Groups (Mintel Diversity, Mintel Wellness, and Mintel Gives). Giving back is part of our culture with this in mind, Mintel gives employees 2 days' leave per year to join local volunteering activities organised by our Mintel Gives (where applicable). Mental health and wellbeing support via Modern Health App. Beautifully designed offices foster collaboration and fun.

Mintel is an equal-opportunity employer that is committed to the strength of an inclusive workplace. 

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