Strategy & Data Consultant Engineer

Key Responsibilities

As a consultant you’ll work on a variety of client-facing projects, while also expected to take an active role in the strategic and operational side of the business, ensuring we are doing everything that is needed to continue to grow.

Project work will focus on helping answer strategic questions by developing analyses, tools, etc. The type of work will vary significantly depending on the project, however, the following is a non-exhaustive set of example core responsibilities. Some of these may be more or less applicable depending on your profile and preferred specialisation (more on this later):

• At the start of projects, supporting the development of hypotheses for “the answer” and defining tests to validate or disprove these.
• Leading project “workstreams”, being responsible for the delivery of the work within those work packages and ensuring these fit in with the wider project context.
• Undertaking exploratory analysis in Tableau (or other preferred analytics tool) to develop the burden of proof for hypotheses.
• Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc. Supporting the deployment of proofs of concepts of aforementioned Machine Learning models in the client’s technical and business architecture (e.g. Azure, Snowflake, etc.).
• Building data pipelines in cloud platforms. Leveraging tools like dbt, SQL, Python, Azure Data Factory to build reusable data assets for clients
• Acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions.
• Collaborating with client teams to ensure successful delivery of projects, which can include helping ensure access to data, setting up collaboration processes, etc.

Furthermore, as well as client-facing work, you’ll also support on the internal operations and strategy of the business, which may include:

• IP development: Defining and iterating our service portfolio, methodologies, etc.
• Strategy: Helping define our mid-long-term strategy and tracking of actions against this.
• Business Development: Supporting our GTM efforts, helping win clients and sell projects.
• Internal Operations: Helping develop internal processes.

Core Skillset

We are not looking for any particular hard skills set. However, we believe a successful candidate will possess the following skills:

• Exceptional business acumen and “commercial knack”: Having a good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.
• Strong analytical profile: An ability to dissect business problems through analysis end-to-end, i.e. to define an approach, execute it, and critically analyse its results. A general ability to work with numbers and data.
• Collaboration and team work: An ability to work in small, fast-paced teams – being able to understand one’s role within the project structure, deliver against it, and be flexible when needed.
• An entrepreneurial mindset: DVS is an early stage startup and as such is suited to someone with an entrepreneurial mindset. This means having the ability to be flexible, proactive, and to get things done – even if these are not things you have done before, or even know how to!

Opportunities for Development

While the consultant role is a generalist role by design, there are two general development paths from consultant to senior consultant:

• A commercial track: This profile focuses more on the business impact of projects, and includes: defining the “size of the prize” of analytics to a business (i.e. the potential upside of an analytics use-case), developing a fact-based narrative to take to senior client stakeholders, and generally acting as the “commercial voice” in projects.
• A technical track: This profile focuses more on the technical delivery of projects. Typically, this will mean having a strong set of tools and methodologies (e.g. building ML models in Python) to be able to deploy in a variety of cloud setups and across projects, and being the go-to person for a project’s technical aspects.

Working Arrangement

• Hybrid model, with typically 3 office days/week. Flexibility for short periods of remote work.

Remuneration

The consultant role offers a highly competitive salary, and opportunity for future equity in the business depending on progression.