Lead Data Analyst

Job Description

Why This Role Matters: The purpose of the Software Engineering Specialist Data Science role is to support our digital transformation strategy. This involves working with large data sets to find opportunities increasing productivity, efficiency in field engineering. Must have strong experience in data visualisation, Data Warehouses, data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms. Must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities for Software Engineering Professional, Data Science: Work as the lead data strategist, identifying, integrating and visualizing new datasets that uncover hidden insights and drive business values. Work closely with the engineering team to strategize and execute the development of data products Own delivery and development of intelligent data products, mainly Data Visualization products. Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems What You'll Be doing: Core activities Be a subject expert and drive shared learning and collaboration. Be a leader in the industry and recognised externally as a thought leader and for making outstanding contributions to the industry, perhaps via a professional body Key / unique decisions made by this role The role holder need to possess good hands on technical expertise and design/development/ implementation experience in building large scale enterprise applications. Strong and experienced individual who is self-motivated as well as able to mentor/guide other team members. The individual will have to perform design and development of functionalities and provide assistance in meeting business objectives, solving business problems and furthering business success by applying industry, applications and technical knowledge. Problem solving Solve problems with components delivered by the team; integration between systems; in-life deployment; and non-functional issues. Facilitate the team to scope the problem and determine a possible range of solutions. Take ownership of problems which have a significant risk to a team’s delivery. Process design & documentation The ability to describe, map and document down to the procedural detail complete processes on a structured way. The ability to organise and structure the process flow in synchronisation with the exchanges with other processes. Stakeholder Management Establishes a network of stakeholders, serving as an externally recognised expert in their field and influencing industry forums, external boards and/or conferences through technical expertise. Liaises with CFU and customer stakeholders, ensuring business needs are met through assurance of the design. Change management Able to create and sustain successful large scale and complex business change. An expert in change management. Role Responsibilities Work as the lead data strategist, identifying, integrating and visualizing new datasets that uncover hidden insights and drive business values. Work closely with the engineering team to strategize and execute the development of data products Own delivery and development of intelligent data products, mainly Data Visualization products. Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Essentials Proficiency with data visualization. Adept in QlikSense and peripheral Qlik products, Excel, PowerPoint, Power BI, SQL/Oracle/Teradata Expert Knowledge on DWH and exposure to BI projects Proficiency in writing complex SQL queries Advanced pattern recognition and analytics experience Experience in building complex data models from large datasets that power analytical dashboards Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Understanding of Machine Learning algorithm is (Regression, Classification, Clustering, And Evaluation Metrics Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects Work with stakeholders to determine how to use business data for valuable business solutions Search for ways to get new data sources and assess their accuracy Browse and analyse enterprise databases to simplify and improve product development, marketing techniques, and business processes Create custom data models and algorithms Coordinate with various technical/functional teams to implement models and monitor results Align to Agile methodologies Desirables Bachelors Degree In Engineering with 7-10 years of experience in Data Analytics. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Cloud Experience, preferably AWS GIT Experince Data Analytics Certification Experience in working with geographically dispersed teams About Us BT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business. Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other. While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies. Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era. A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us. DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Show more Show less