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RI
Rose International
Data Analytics Lead
Career Insights for Data Analyst
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Based on Florida data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$77,837 / year median in Florida
+19% projected growth
Job Description
Required Education
- Bachelor's degree in Business, Finance, Data Science or Analytics, Statistics, Engineering, or a similar field.
- 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.
- 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.
- 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.
- 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.