Data, Analytics & AI - Senior Associate

Industry/Sector Not Applicable Specialism Managed  Services Management Level Senior Associate

Job Description & Summary The Opportunity As a Managed Services
- Data, Analytics & AI
- Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data, Analytics & AI Managed Services practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others.

You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to  this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of a team that focuses on leveraging data to drive insights and make informed business decisions.

By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.

Responsibilities
- Leveraging data analytics to drive strategic insights and informed decision-making for clients
- Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage
- Utilizing business intelligence tools such as Oracle Business Intelligence and Qlik View to create comprehensive reports and dashboards
- Building and maintaining relationships with clients to understand their needs and deliver tailored data solutions
- Managing data pipelines and confirming data quality and integrity throughout analytics processes
- Applying analytical thinking and data science techniques to interpret complex data sets and generate actionable insights
- Collaborating with teams to develop data architecture and visualization strategies that align with client objectives
- Engaging in continuous process improvement to enhance data analytics capabilities and methodologies
- Navigating complex situations and adapting to changing business contexts to deliver quality outcomes
- Mentoring junior team members and fostering a collaborative and inclusive work environment

What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience

What Sets You Apart
- Preference for at least one of the following fields of study:
Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating proficiency in data visualization tools like Qlik View and Spotfire
- Utilizing Python and Java for advanced data analytics projects
- Developing business intelligence solutions using Oracle BI and BIRT
- Engaging in stakeholder management and competitive advantage analysis
- Applying analytical thinking to macroeconomic and microeconomic research
- Embracing change and continuous process improvement in dynamic environments

Travel Requirements Up to 60%
Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications…