Senior Analytics Engineer

at  Aubay

EXPERIENCE LEVEL

Entry
Junior
Mid
Senior
Expert

EMPLOYEE TESTIMONIAL

Since I first started talking about joining Aubay, I was immediately struck with how open and transparent the discussions were, and how they truly listened to what I was looking for to find the right role for me. The pride in ensuring that their word is their bond really came through, and still something that I see two and a half years into working for Aubay.

REQUIRED SKILLSET

• Minimum 7 years of experience in the IT industry.
• Knowledge of and experience with design & prototyping tools.
• Expert knowledge in QlikSense & Qlik Cloud Analytics to deliver complex, fast-moving datasets to high value trading teams.
• Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries.
• Expert knowledge and application of general and tool specific connectivity, data modelling, source data procurement strategies (database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics into visualization tools.
• Knowledge of upcoming trends in tools and technology.
• Familiarity with user-centred design and testing methodologies and usability and accessibility concerns.
• Communication skills to engage technical developers, architects, and stakeholders.
• Good project management and organizational skills.
• Self-motivated, very good in taking initiative. Innovative and able to drive junior team members.
• Must have experience in working with AGILE, KANBAN methodologies and be able to run a sprint.
• University degree in any IT discipline.

DESIRED SKILLSET

• Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery).
• Risk - Modelling & understanding of risk & risk management.
• Quantitative Skills - Statistical methods to check and investigate numerical data for practical insights.
• Commodity Modelling - Energy (power, gas, environmental products) and meteorology.
• Skilled at one of the following secondary visualization tools - (at least one of the following – (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud).
• Knowledge of cloud data engineering technologies.

ROLE SUMMARY

Aubay is seeking a Senior Analytics Engineer to work closely with our Global Energy client’s key stakeholders in both business and IT to help narrate stories with data and visualize insights in a compelling and insightful way that enables business decision-making. As a Senior Analytics Engineer you will be a subject matter expert, who designs & builds analytics solutions and mentors Junior Engineers. You will also be the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them. In this role, you will be part of a community of experts, that spans different capabilities in our Energy client’s Digital Engineering department, who are driving ideas to reality and embedding AI in every part of their organisation from making their existing businesses more effective and efficient and make them competitive as they accelerate the development of the next generation of clean energy solutions. To accelerate our client’s digital journey, they need people who can help build knowledge and deep technical expertise in market leading information and data tools to deliver actionable, data-driven insights.

RESPONSIBILITIES

• Design, build and implement POCs, prototypes and full-fledged UX solutions and strategies.
• Communicate with key stakeholders to drive clarification of requirements and to promote UX designs and solutions.
• Support the design, e.g., by analysing user journeys and drive towards simplification and automation.
• Enable high quality & compelling story telling through creation of strong, simple to understand data visualizations.
• Document technical solution design and strategy documentation.
• Run quality assessments of counterparts’ design.
• Coach and develop other UX analysts.
• Adhere to internal release and change process.
• Pursue knowledge enhancement.