Required Education
• Bachelor’s degree in Business, Finance, Data Science or Analytics, Statistics, Engineering, or a similar field.
Required Qualifications/Skills/Experience
• 8–10 years of relevant hands-on experience as a Senior Data Developer or Data Analytics Lead.
• Expert-level experience designing and maintaining Oracle PL/SQL queries.
• Expert-level Python programming skills.
• Strong understanding of relational databases.
• Experience performing in-depth data analysis and data profiling.
• Experience mentoring or leading other data analysts.
• Strong interpersonal, teamwork, consulting, and problem-solving skills.
• Excellent written and verbal communication skills.
• Experience identifying and implementing process improvements.
• Ability to effectively manage multiple small to large projects simultaneously in a cross-functional environment.
• Awareness and understanding of AI/ML tools and techniques in data analytics, including machine learning algorithms, natural language processing, and predictive modeling.
• Hands-on experience in data warehousing and data analytics development.
• Deep understanding of financial data and complex data scenarios.
• Ability to communicate technical solutions and findings clearly to technical and non-technical stakeholders.
Preferred Qualifications/Skills/Experience
• Practical experience applying AI/ML techniques in data analysis projects.
• Exposure to data visualization tools such as Tableau and Power BI.
• Senior-level data development position responsible for liaising between business users and technologists and exchanging information in a concise, logical, and understandable manner in coordination with the Technology team.
• Combines technical, functional, analytical, and problem-solving skills to deliver high-quality insights and support business decisions.
• Requires hands-on experience with data warehousing, data analytics development, financial data, and complex data scenarios.
• Responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects.
• Works with business units such as Finance, Risk, and Operations to analyze complex financial data, identify trends, patterns, and anomalies, and provide actionable insights.
• Develops and optimizes SQL queries, Oracle stored procedures, triggers, and functions; uses Python and other analytical tools to support reporting, automation, data quality, reconciliation, and visualization.
• Acts as a subject matter expert for senior stakeholders and team members while contributing to complex, high-impact technology initiatives.
Job Duties
• Analyze complex financial data and identify trends, patterns, and anomalies to provide actionable business insights.
• Write and optimize complex SQL queries for data extraction, reporting, and analysis.
• Develop Oracle stored procedures, triggers, and functions to automate data-related processes.
• Design and implement reporting solutions using SQL, Python, scripting, and other data analytical tools to deliver accurate and meaningful visualizations.
• Use Python and other programming languages to automate manual tasks and develop data reconciliation and data quality checks.
• Develop analytical reports and dashboards based on business requirements.
• Address and resolve complex data-related issues while ensuring data integrity and accuracy.
• Collaborate with team members, technology partners, and business partners to identify efficient and strategic solutions.
• Communicate technical solutions, application functions, findings, and financial data concepts to technical and non-technical stakeholders.
• Provide input during development and implementation phases, including formulation and definition of system scope, objectives, and necessary system enhancements for complex, high-impact projects.
• Own issue resolution, manage multiple program sub-streams, and assist in developing technology solutions based on analysis.
• Manage multiple responsibilities effectively while maintaining awareness of regulatory deadlines.
• Review existing processes critically to identify inefficiencies and automation opportunities.
• Author architectural proposals, technical solutions, and communication materials for senior management and key business partners.
• Guide stakeholders through complex data issues.
• Act as a subject matter expert to senior stakeholders and other team members.
• Mentor and lead other data analysts as needed.
• Serve as a change agent by identifying opportunities to improve processes and implement automation.
• Research and evaluate emerging AI tools and techniques for potential use in data analysis projects.
#CT1
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
Thanks for the opportunity. If in the future I ever need a job, I would like to work for Rose International.
David, Consultant
Rose International has been great to me. I thank everyone there for all of their hard work; it has not gone unnoticed.
Melody, Consultant
Each time I contacted Rose, I was completely satisfied with the great attention and customer service I received. Each person was extremely knowledgeable and patient with my concerns or questions.
Diana, Consultant
I had a very positive experience working for Rose. The entire process is very efficient and easy.
Joanne, Consultant
Working for Rose International was the most pleasant assignment I have ever had. They were always on top of situations when necessary, and very helpful. I was very proud to be an employee of Rose International, and would recommend anyone to try to work with them.
Melvon, Consultant
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