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Role:Lead Data Analytics Consultant
Location: Dublin (Hybrid - 2-3 days in the office)
Working Hours: Full-time
Visa Requirement: Must have a valid working visa for Ireland
Client: Leading Data Analytics Consulting Company
Mandatory Note
- Strong focus on consulting in the financial domain
- Candidates must have hands-on experience in coding and building AI/ML solutions
- A strong consulting background is a must, especially with prior working experience in Ireland
- Salary up to €120,000
- Comprehensive benefits package, including bonus, health insurance, pension contributions, and more
We are seeking a highly skilled Data Analytics Consultant to join their Corporate Finance Division. This role requires a mix of strong technical expertise and business acumen to deliver impactful solutions for clients. The ideal candidate will have experience in AI/ML model development, data strategy, and managing analytics projects in a fast-paced, client-facing environment.
What You’ll Do
- Data Analysis & Insights: Analyse and interpret complex data sets to develop actionable insights and data-driven solutions for clients.
- Stakeholder Collaboration: Collaborate with various stakeholders (internal teams and clients) to define and refine data requirements and strategies, ensuring alignment with business objectives.
- Customized Solutions: Design and deliver customized solutions that meet clients' data infrastructure and business needs, providing exceptional value and results.
- AI/ML Model Development: Oversee all elements of AI/ML model development, including data enrichment, sampling, exploratory analysis, feature engineering, model assessment, development, calibration, and validation.
- Project Management: Lead and manage analytics and AI projects/workstreams, ensuring timely delivery and alignment with client goals.
- ETL Development: Utilise expertise in ETL to develop data pipelines, integrate various data sources, and query APIs for optimized data flow.
- Model Design & Development: Design and develop scalable, robust, and efficient analytical models to support business decisions.
- Consultancy & Best Practices: Provide consultancy on data best practices, operational efficiencies, and potential areas for improvement.
- Team Leadership: Lead and manage project teams, setting clear objectives, ensuring alignment, and delivering on time.
- Define Data Strategies: Work closely with clients and teams to define data requirements and strategies for client projects.
- Model Ownership: Take ownership of the evaluation, development, calibration, and deployment of analytical models.
- Project Alignment: Ensure all analytics and AI projects are strategically aligned with client objectives and business needs.
- Foster Data-Driven Culture: Champion a data-driven mindset within the organization, promoting innovation through the use of AI and analytics.
- AI/ML Client Solutions: Identify novel use cases for AI/ML and analytics, leading efforts to bring these solutions to market.
- Client Engagement: Collaborate with clients to fully understand their needs, articulate tailored solutions, and define the approach for delivering successful outcomes.
- Industry Trends & Research: Stay up to date with the latest technological trends, AI advancements, and industry developments through active research, attending conferences, and participating in relevant forums.
- Education: A relevant degree in Data Science, Analytics, Computer Science, or a related field.
- Technical Skills:
- Strong experience in AI/ML model development and deployment.
- Proficiency with data analytics tools (e.g., Python, R, SQL, etc.).
- Experience with ETL processes, data pipelines, and API querying.
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Experience with analytics frameworks, business intelligence tools, and databases.
- Business Acumen: Strong understanding of business processes and the ability to connect technical data solutions with client business goals.
- Project Management: Proven ability to manage analytics or AI projects, ensuring delivery on time and within scope.
- Communication Skills: Excellent verbal and written communication skills with the ability to translate complex data insights into clear business recommendations.
- Experience:
- At least 3-5 years of experience in a data-driven, client-facing role.
- Experience in corporate finance, business analytics, or related industries is a plus.
- Familiarity with advanced data modeling techniques and machine learning algorithms.
- Proven track record in leading teams and managing client expectations.
- Expertise in consulting, solution design, and driving client success through data and analytics.
- Ability to work in a hybrid environment, balancing remote and in-office collaboration.
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge AI/ML technologies in a dynamic, client-centric environment.
- A collaborative, innovation-driven company culture.
- Professional development opportunities, including training, certifications, and industry events.