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Contract Data Analytics Manager Jobs in Florida (NOW HIRING)

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics development and documentation. * Data solutions.

Drive continuous improvement across analytics processes, identifying opportunities for automation, better data infrastructure, and scalable insights delivery. * Manage and balance multiple high value ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... Performs any other assignments as directed by manager. * Adheres to and complies with applicable ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Analytics Engineer will support the Revenue Management Development and Systems team by designing, developing, and implementing data processes, reporting, and analytics solutions.

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for ... The Revenue Management Development and Systems team is responsible for all data, decision tools ...

Showing results 41-60

Contract Data Analytics Manager information

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

AspectContract Data Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in project managementBachelor's in Data Science, Statistics, or related field; proficiency in data tools
Work EnvironmentProject-based, often consulting or temporary roles, working with multiple clients or teamsFull-time, in-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, corporations, government agencies; focus on delivering analytics projectsCorporations, tech companies, finance, healthcare; focus on data reporting and insights

The Contract Data Analytics Manager typically oversees analytics projects on a temporary basis, requiring management skills and strategic oversight. In contrast, Data Analysts focus on data collection, processing, and reporting within ongoing operations. Both roles require strong analytical skills, but the managerial role emphasizes project leadership and client interaction.

What are some common challenges faced by contract data analytics managers, and how can they be addressed?

Contract Data Analytics Managers often encounter challenges such as quickly understanding a company's existing data infrastructure, aligning expectations with stakeholders within a limited timeframe, and delivering actionable insights under tight deadlines. To address these challenges, it's essential to prioritize clear communication with team members and stakeholders, leverage onboarding materials or knowledge transfer sessions, and utilize standardized analytics tools and processes. Developing an agile project plan and regularly reviewing progress with the client can also help ensure that deliverables remain aligned with business objectives.

What does a contract data analytics manager do?

A Contract Data Analytics Manager is responsible for overseeing data analysis projects and processes on a contractual basis, often for a specific project or period. They collect, interpret, and analyze large sets of data to help organizations make informed business decisions. Their role may involve collaborating with stakeholders, managing a team of analysts, and ensuring the quality and accuracy of data reports. Since they work on a contract, their focus is typically on delivering results within a defined timeframe. They often work in industries like finance, healthcare, or marketing where data-driven insights are crucial.

What are the key skills and qualifications needed to thrive as a contract data analytics manager, and why are they important?

To thrive as a Contract Data Analytics Manager, you need expertise in data analysis, contract management, and a solid background in business, finance, or a related field, often supported by a relevant degree. Familiarity with analytics tools like SQL, Tableau, and Excel, as well as contract management systems, and sometimes certifications in data analytics or project management, are commonly required. Strong attention to detail, communication, and problem-solving abilities help you interpret complex data and collaborate across departments. These skills are crucial to extract actionable insights from contract data, mitigate risks, and optimize business outcomes.
What are the most commonly searched types of Data Analytics Manager jobs in Florida? The most popular types of Data Analytics Manager jobs in Florida are:
What are popular job titles related to Contract Data Analytics Manager jobs in Florida? For Contract Data Analytics Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contract Data Analytics Manager jobs in Florida look for? The top searched job categories for Contract Data Analytics Manager jobs in Florida are:
What cities in Florida are hiring for Contract Data Analytics Manager jobs? Cities in Florida with the most Contract Data Analytics Manager job openings:

Manager, Data Analytics & BI

Red Lobster

Orlando, FL • On-site

Other

Re-posted 10 days ago


Red Lobster rating

5.9

Company rating: 5.9 out of 10

Based on 261 frontline employees who took The Breakroom Quiz

45th of 88 rated restaurants


Job description

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner while remaining hands-on in delivering impactful data solutions. This role operates in a player-coach capacity, with an expected allocation of approximately 80% leadership, stakeholder engagement, delivery accountability, and team management and 20% hands-on contribution. The individual should be comfortable flexing into deeper hands-on involvement as business needs evolve, particularly in periods of transformation, critical delivery, or team capacity constraints.

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the business. This role is not intended for candidates seeking a primarily hands-on development position, nor for leaders who are fully removed from technical execution. This leader will oversee the design, development, and delivery of analytics and reporting solutions leveraging platforms such as Informatica IDMC, MicroStrategy, Power BI, and Oracle databases, while mentoring and developing a multidisciplinary team of architects and engineers.

ESSENTIAL/PRIMARY DUTIES, FUNCTIONS, AND RESPONSIBILITIES Leadership & Team Development Lead, mentor, and grow a high-performing analytics and BI team across reporting, data engineering, and visualization disciplines Operate as a player-coach, balancing strategic leadership with hands-on contribution to critical initiatives Establish team standards, best practices, and governance across analytics, reporting, and data pipelines Foster a culture of accountability, continuous improvement, and business partnership Analytics & Reporting Delivery Oversee the development and delivery of enterprise reporting and dashboards using Power BI and MicroStrategy Standardize metrics, definitions, and reporting frameworks to ensure consistency and trust in data Ensure reporting solutions are scalable, accurate, and aligned to business KPIs Drive adoption of self-service analytics capabilities across the organization Data Engineering & Architecture Provide technical leadership in building and optimizing data pipelines and integrations using Informatica IDMC Oversee data modeling, transformation, and data quality processes within an Oracle-based data environment Identify opportunities to drive efficiency through automation, standardization, and reusable data assets Partner with architecture and IT teams to evolve modern data platforms and cloud strategies Ensure strong data governance, lineage, and performance optimization practices Strategy & Execution Define and execute a roadmap for analytics modernization, including tools, platforms, and operating model Align analytics initiatives with business priorities and ROI outcomes Drive efficiencies through automation, standardization, and reusable data assets Manage vendor relationships and tool optimization across BI and data platforms Business Partnership & Strategic Influence Lead the evolution of the analytics function from request-driven reporting to proactive business enablement, identifying opportunities, surfacing insights, and influencing decisions ahead of demand Act as a strategic thought partner to business leaders, leveraging data to challenge assumptions, prioritize initiatives, and drive measurable outcomes Establish a culture of ownership and curiosity, where the team actively seeks out "low-hanging fruit" and high-impact opportunities rather than waiting for intake JOB REQUIREMENTS (SKILLS & EXPERIENCE) 7+ years of experience in data analytics, BI reporting, or data engineering , with 2-4+ years in a leadership role Proven experience in a player-coach capacity , balancing leadership and hands-on technical delivery Strong expertise with: Power BI (data modeling, DAX, dashboard development) MicroStrategy (enterprise reporting and semantic layer design) Informatica Intelligent Data Management Cloud (IDMC) Oracle databases (SQL, performance tuning, data structures) Familiarity with Python for data integration, automation, and analytics use cases, including API-driven workflows and potential expansion into advanced analytics Familiarity with designing and evolving modern data architectures (such as lakehouse) and implementing near real-time data flows to support scalable, flexible analytics and advanced data use cases Understanding data architecture and engineering practices that support AI/ML Experience building and scaling data and analytics teams Strong understanding of data warehousing, ETL/ELT processes, and data architecture principles Ability to translate complex data into clear business insights and executive-level storytelling PREFERRED QUALIFICATIONS Experience in restaurant, retail, hospitality, or multi-unit operations environments Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS) Familiarity with real-time or near-real-time data processing Experience implementing data governance frameworks and data quality tools Background supporting finance, operations, or customer analytics use cases LEADERSHIP COMPETENCIES Strong business decision-making mindset with ability to balance speed, quality, and cost Excellent communication and stakeholder management skills Ability to operate effectively in fast-paced, evolving environments Demonstrated success building trusted partnerships across business and technology teams Apply.


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