Lead Data Analyst - Technology Service
Description
Job Description
Role: Lead Data Analyst
Department: Data Office
About Apex
Apex Group Ltd., established in Bermuda in 2003, is a global financial services provider. With over 80 offices in 70 countries worldwide and more than 12,000 employees, Apex Group delivers an expansive range of services to asset managers, financial institutions, private clients and family offices. The Group has continually improved and evolved its capabilities to offer a single-source solution through establishing the broadest range of services in the industry; including fund services, digital onboarding and bank accounts, depositary, custody, super ManCo services, corporate services including HR and Payroll and a pioneering ESG Ratings and Advisory solution. Apex Group’s purpose is to be more than just a financial services provider and is committed to driving positive change to address three core areas; the Environment and Climate Change, Women’s Empowerment and Economic Independence, Education and Social Mobility.
Life at Apex isn't just about the work you do, it's about embracing the culture and loving what you do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex ensures it rewards loyal and dedicated employees. The international nature of our business and global network of offices means that there are opportunities to broaden your life experiences and take both short-term or permanent relocation options.
Job Specification
We are seeking an exceptional and highly experienced Lead Data Analyst to lead our data analytics initiatives and offer technical assistance to the team. As the Lead Data Analyst, you will play a crucial role in shaping our data analytics products, designing analytical frameworks, and driving innovation in data analysis methodologies. You will work closely with senior leadership, cross-functional teams, and stakeholders to identify key business opportunities, provide strategic insights, and guide the organization's data-driven initiatives.
Responsibilities:
- Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives.
- Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives.
- Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress.
- Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets.
- Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making.
- Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets.
- Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action.
- Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities.
- Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills.
- Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes.
- Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner.
- Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives.
Requirements:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred.
- 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role.
- Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives.
- Expert proficiency in SQL for data extraction, manipulation, and analysis.
- Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning.
- In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms.
- Strong experience with data visualization tools such as Tableau, Power BI, or similar.
- Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar.
- Solid understanding of database structures, data warehousing concepts, and data governance principles.
- Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions.
- Excellent leadership, strategic thinking, and stakeholder management abilities.
- Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization.
- Proven ability to work independently, manage multiple projects, and prioritize effectively.
Preferred Qualifications:
- Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of big data technologies such as Hadoop, Spark, or similar.
- Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn.
- Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies.
- Experience in leading and managing cross-functional teams.
Join our organization and lead the way in harnessing the power of data to drive strategic decision-making, innovation, and growth. Apply now with your updated resume and a cover letter explaining why you are the ideal candidate for this position.