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Associate Analytics Manager Jobs in Florida (NOW HIRING)

Responsibilities : • Lead and develop a team of Data Analysis Associates: set goals/OKRs, manage capacity and priorities, conduct 1:1s, coach and mentor, provide timely feedback, and oversee ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.

The Associate Director of Data Analytics provides technical and people leadership to design, build ... issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.

Through collaboration with the District Manager and store associates, analyze operational processes, customer trends, and business results to determine appropriate actions necessary to achieve ...

Through collaboration with the District Manager and store associates, analyze operational processes, customer trends, and business results to determine appropriate actions necessary to achieve ...

Through collaboration with the District Manager and store associates, analyze operational processes, customer trends, and business results to determine appropriate actions necessary to achieve ...

Through collaboration with the District Manager and store associates, analyze operational processes, customer trends, and business results to determine appropriate actions necessary to achieve ...

Through collaboration with the District Manager and store associates, analyze operational processes, customer trends, and business results to determine appropriate actions necessary to achieve ...

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Associate Analytics Manager information

What are the key skills and qualifications needed to thrive as an Associate Analytics Manager, and why are they important?

To thrive as an Associate Analytics Manager, you need a strong background in data analysis, statistical modeling, and business acumen, often supported by a relevant degree in analytics, statistics, or a related field. Expertise with data visualization tools (like Tableau or Power BI), SQL, and familiarity with analytics platforms such as Google Analytics or Python/R is highly valuable. Strong communication, problem-solving, and stakeholder management skills help you convey insights effectively and drive data-informed decisions. These skills are crucial for transforming complex data into actionable strategies that support business growth and efficiency.

How does an Associate Analytics Manager typically collaborate with cross-functional teams to drive data-driven decision making?

As an Associate Analytics Manager, you'll work closely with teams such as marketing, product, finance, and engineering to identify business challenges and translate them into analytical projects. You’ll regularly participate in meetings to understand stakeholder needs, present key findings, and ensure that insights are actionable and aligned with business objectives. Effective communication and the ability to explain complex data findings in relatable terms are essential, as is adapting your approach based on the audience. This collaborative environment not only enhances your analytical impact but also helps you build strong professional relationships and knowledge across departments.

What is the difference between Associate Analytics Manager vs Data Analyst?

AspectAssociate Analytics ManagerData Analyst
Required CredentialsBachelor's degree in Analytics, Business, or related field; some roles prefer certifications like Google Data Analytics or SQL certificationsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentTypically part of a team managing analytics projects, collaborating with managers and stakeholdersFocuses on data collection, cleaning, and analysis, often working independently or in small teams
Employer & Industry UsageUsed across industries like finance, marketing, and tech; common in mid-level analytics rolesWidely used in various industries for data reporting and insights generation

The Associate Analytics Manager and Data Analyst roles share similar educational backgrounds and work environments, but the Associate Analytics Manager often has more responsibilities in managing projects and teams. Data Analysts primarily focus on data processing and reporting, while Associate Analytics Managers oversee analytics strategies and stakeholder communication.

What does an Associate Analytics Manager do?

An Associate Analytics Manager is responsible for supporting the analysis of data to help drive business decisions. They work with large datasets, generate reports, and provide insights to improve company performance. Their role often involves collaborating with different departments, managing analytics projects, and ensuring data integrity. They may also mentor junior analysts and contribute to the development of analytical tools and processes.
What job categories do people searching Associate Analytics Manager jobs in Florida look for? The top searched job categories for Associate Analytics Manager jobs in Florida are:
What cities in Florida are hiring for Associate Analytics Manager jobs? Cities in Florida with the most Associate Analytics Manager job openings:

Business Analyst Manager

JPMorganChase

Tampa, FL • On-site

Full-time

Posted 23 days ago


Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. The Vice President, Business Analysis Manager will lead a team of Data Analysis Associates to enhance operational efficiency and support strategic fraud initiatives within the Corporate & Investment Banking Payments Operations team.
Responsibilities:
• Lead and develop a team of Data Analysis Associates: set goals/OKRs, manage capacity and priorities, conduct 1:1s, coach and mentor, provide timely feedback, and oversee performance reviews and career development.
• Own the roadmap and stakeholder alignment for Reporting & Analytics across Core Cash and Commercial Card in CIB Payments Operations; partner with Product, Risk, and Operations; provide executive-ready updates and land changes without client or operational disruption.
• Drive analytics and decisioning: detect emerging fraud trends, quantify impact, and optimize rules; develop and explain algorithms/models and analytical logic to Management, Operations, Technology, and Compliance.
• Own data pipelines end to end: define requirements with Technology and Operations from sourcing through consumption, automate ETL, and own portions of transaction monitoring coverage.
• Lead quality, testing, and change management: plan and execute UAT, manage releases, and maintain documentation and logs for audit readiness.
• Deliver reporting and visualization: produce ad hoc and recurring reporting; build and maintain dashboards and KPI views for fraud controls and client experience.
• Strengthen controls and risk management: drive continuous process improvement and root-cause analysis, align with Governance/Controls, and promote standardization and reuse across the team.
• Manage delivery and SLAs: monitor delivery quality and timelines, align work to SLAs, and handle escalations and stakeholder communications.
• Champion ways of working and talent: run Agile ceremonies and product-owner activities (backlog, prioritization, delivery tracking) and partner on hiring, onboarding, and cross-training for resilient coverage.
Qualifications:
Required:
• Eight or more years of combined experience in data, analytics, or technology roles supporting fraud, risk, or operations.
• Proven people leadership in coaching and developing team members through performance management, capacity planning, and effective delegation.
• Demonstrated ability to conduct data analysis and interpret complex data sets; strong problem solving and storytelling with data.
• Advanced proficiency in using automation/BI technologies to optimize processes and implement business strategies and controls.
• Excellent communication and stakeholder management; service mindset with strong analytical skills.
• Understanding of the software delivery lifecycle and industry-standard methodologies; familiarity with Agile ways of working.
• Hands‑on experience with JIRA for backlog management, dashboards, and reporting.
• Undergraduate or Master's degree in Business, Finance, Mathematics, Computer Science, or related field.
• Experience with Alteryx, Tableau, Qlik/QlikSense or other BI tools to perform statistical/data analysis; dashboard-building experience.
• Advanced Microsoft Excel skills (pivot tables, macros, lookups); proficiency with PowerPoint, Access, Visio, Word.
• Understanding of business process/modeling concepts and governance/control principles; familiarity with data warehousing concepts (ETL, relational databases, big data such as Hadoop, S3).
Preferred:
• Domain experience in fraud detection/anomaly detection and optimization of fraud rules/strategies; familiarity with Commercial and Investment Banking fraud trends, patterns, and features.
• Programming skills in SQL are a must; knowledge of Python and AWS Athena (or other cloud query engines).
• Exposure to payments and card domains, including core cash rails (ACH, wires, RTP, checks) and commercial card controls (MCC anomalies, chargebacks/disputes, spend controls).
• Experience working in Amazon Web Services cloud environments; GCP experience.
• Aptitude and curiosity for ML‑adjacent solutions, partnering with data science on feature ideation and experimentation.
• Proficient ability to leverage AI tools, including effective prompt writing, to enhance analysis and provide actionable insights.
• Experience in technology/process release management with strong documentation and UAT coverage; comfort owning applications/systems and running business‑critical processes.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.