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Data Analytics Project Manager Jobs in Miami, FL

Workplace Project Manager

Miami, FL · On-site

$130K - $180K/yr

Manage project budgets, schedules, risks, documentation, and stakeholder communications ... Analyze project alternatives, costs, schedules, risks, and business requirements, and develop data ...

SOSi is seeking a Project Manager to support mission requirements for a structured approach to ... data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD ...

SOSi is seeking a Project Manager to support mission requirements for a structured approach to ... data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD ...

Advanced proficiency in Excel for project planning, scheduling, and data analysis. * Experience with project management tools (Smartsheet, Jira, Monday.com). * Strong understanding of restaurant ...

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.

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

Experience with MS Office, MS Project or an equivalent project management tool, and workflow or data flow diagramming tools; Experience with business analysis, preferably within the Commercial ...

Showing results 21-40

Data Analytics Project Manager information

See Miami, FL salary details

$16

$55

$76

How much do data analytics project manager jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics project manager in Miami, FL is $55.00, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $64.38 per hour, depending on experience, location, and employer.

What is a data analytics project manager?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What does a data analytics project manager do?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

What are the key skills and qualifications needed to thrive as a data analytics project manager?

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

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Cities near Miami, FL with the most Data Analytics Project Manager job openings:

Infographic showing various Data Analytics Project Manager job openings in Miami, FL as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $114,407 per year, or $55 per hour.

Data Analytics Developer, AVP - Credit and Insurance

Blackstone

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Blackstone is the world's largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused onprivate equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.Further information is available at www.blackstone.com. Follow @blackstone onLinkedIn,X, andInstagram.

Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone's businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.

BXTI is entrepreneurial - our open, iterative design processes and rapid pace of engineering mean that everyone on the team can make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.

Blackstone is looking to hire an Associate to be an integral member of the Blackstone Technology Global Liquid Analytics team. This individual will be responsible for the analysis, design, implementation, testing, debugging and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform. The candidate will help build the platform through use data science, statistics, and computer programming.

The candidate must possess the knowledge to work hand-in-hand with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams focusing on creating scalable analytics tooling. This includes building interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients. The candidate will also be using their engineering and/or data science background to help find alpha in complex credit and structured security markets.

From the technical perspective, the candidate should be comfortable working with diverse datasets and transforming unstructured & unclean data into an organized format suitable for data science. The individual should be proficient with Python and SQL to build a clean and scalable code base that powers the analytical models and generates novel insight from the data. The candidate is responsible for building interactive data visualization tools using Business Intelligence software like Sigma & Tableau. The candidate also plays an important role in implementing and extending core system architecture and data warehouses using Snowflake & AWS to build a solid foundation for analytics. Web development expertise in React & Typescript based application frameworks in AWS infrastructure (Terraform) is an added plus.

Qualifications:

  • Bachelors or Masters degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).

  • 3+ years of experience in data analytics/data science role.

  • Proficiency in database design as well as SQL and Python programming languages.

  • Work experience with business intelligence applications (e.g., Sigma, Tableau). Work experience with designing and implementing scalable portfolio analytics platforms.

  • Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.

  • Proficient in programming in Python and SQL to build scalable and clean code base for analytics platforms.

  • Expert in database architecture design and performance optimization. Strong skills designing optimal data structures to host diverse financial data sets. Expert in data visualization tools like Sigma & Tableau. Can quickly build large scale complicated visualization platforms.

  • Expert in designing core data analytics model with a focus on reusability, data processing performance and data accuracy.

  • Knowledge in math and statistics to implement financial simulation models and understanding security/fund risk methodologies.

Preferred Qualifications:

  • Work experience with fixed income investment strategies.

  • Experience with web-based application development in React & Typescript with AWS infrastructure (Terraform).


The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range:

$100,000 - $170,000

Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:

  • Attending client meetings where you are discussing Blackstone products and/or and client questions;

  • Marketing Blackstone funds to new or existing clients;

  • Supervising or training securities licensed employees;

  • Structuring or creating Blackstone funds/products; and

  • Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.