Miami, FL

Data Jobs in Miami, FL

10 jobs found

Include remote jobs

2d ago

Tableau Data Analyst - Salesforce Trailhead Exp.

Debt Consultants Group Miami, FL

Miami, FL

2d ago

$60k - $120k/yr Full time Analytical Skills Analytics Business Analytics

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Job Description

Debt Consultants Group is seeking a meticulous Tableau Data Analyst to transform raw data into clear, actionable dashboards. This on-site role in Miami supports data-driven decision making across the organization by building visuals in Tableau, integrating Salesforce data, and collaborating with cross-functional teams to turn complex business information into insight.

Location

Miami, FL (onsite)

Compensation

USD 60,000 - 120,000 per year

Responsibilities

Design, update, and optimize interactive dashboards and reports in Tableau to monitor key business metrics, trends, and operational results.
Leverage Salesforce data to produce reports, dashboards, and analytics that illuminate sales activity, customer behavior, pipeline performance, and business outcomes for leadership and teams.
Apply Salesforce Trailhead knowledge or certifications to support reporting, CRM data structures, user adoption, and best practices within the Salesforce platform.
Partner with cross-functional teams to capture reporting needs and translate them into accurate dashboards, reports, and technical solutions.
Analyze data from multiple sources, including Salesforce, Microsoft SQL Server, Oracle, Looker, Power BI, and other business systems.
Perform data analysis using SQL, Python, R, Excel, and related tools to identify trends, patterns, gaps, and opportunities for improvement.
Design and support ETL processes to ensure correct data extraction, transformation, and integration from diverse platforms.
Maintain data accuracy, quality, and consistency across Tableau, Salesforce, and connected reporting systems.
Assist with database design, linked data connections, and data workflows to enhance reporting efficiency and data accessibility.
Apply Agile and SDLC principles to manage analytics projects, reporting updates, and dashboard development timelines.
Utilize tools such as Power BI, VBA, Bash, Visio, and business analysis methods to improve reporting, documentation, and workflows.
Present findings clearly to managers, executives, and stakeholders, tying insights to business goals.

Requirements

Proven experience using Tableau to create dashboards, reports, and data visualizations.
Experience working with Salesforce reports, dashboards, CRM data, objects, fields, leads, opportunities, accounts, or similar Salesforce functions.
Salesforce Trailhead experience is strongly preferred; Salesforce certifications or completed Trailhead modules are a plus.
Strong SQL skills with experience querying Microsoft SQL Server, Oracle, or similar platforms.
Familiarity with ETL tools such as Talend or other data integration platforms.
Experience using Python or R for data analysis, reporting automation, or advanced analytics is preferred.
Understanding of CRM analytics, sales reporting, pipeline tracking, and business performance metrics.
Experience with Power BI, Looker, Excel, VBA, Visio, Bash, or Oracle database management is a plus.
Knowledge of Agile project management, SDLC processes, and business analysis techniques.
Strong attention to detail, problem-solving ability, and analytical thinking.
Excellent communication skills with the ability to explain data insights clearly to both technical and non-technical stakeholders.
Highly organized, dependable, and able to manage multiple reporting projects simultaneously.

Technologies

Tableau
Salesforce
Microsoft SQL Server
Oracle
Looker
Power BI
Excel
Python
R
VBA
Bash
Visio
Talend
Salesforce Trailhead

Preferred Skills

Salesforce Trailhead badges, Salesforce Administrator knowledge, or Salesforce reporting experience.
Experience building dashboards for sales, recruiting, operations, marketing, or executive leadership teams.
Ability to clean, validate, and structure CRM data for reporting accuracy.
Comfort with large datasets and turning raw data into meaningful business stories.

Application Questions

Must be local and have Salesforce Trailhead experience (required)

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2d ago

Senior Analytics Engineer

Centene Pharmacy Services Miami, FL

Miami, FL

2d ago

$87k - $161k/yr Full time Senior Analytics Big Data

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Job Description

The Senior Analytics Engineer role at Centene Pharmacy Services is based onsite in Florida. This position focuses on designing, building, and scaling modern analytics pipelines and assets to support advanced analytics and decision making, leveraging Snowflake, dbt, GitLab, and Power BI, in collaboration with stakeholders.

Responsibilities

Design, implement, and own scalable data pipelines that ingest both external and internal data into Snowflake, including automated ingestion of file-based sources.
Architect and maintain dbt transformation workflows to produce curated, production-grade data models and tables.
Define and enforce standards for data modeling, performance optimization, data quality, and reliable pipelines across the analytics platform.
Develop and maintain Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring.
Oversee the adoption and ongoing use of GitLab for version control, code collaboration, and CI/CD across the analytics team.
Establish and operationalize team standards for source control, code reviews, deployment workflows, and documentation.
Create, optimize, and own Power BI datasets, semantic models, and reporting layers to support scalable analytics and decision making.
Collaborate with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively.
Mentor teammates on data engineering workflows, Snowflake, dbt, GitLab, and Power BI to enable shared ownership and reduce single points of failure.
Continuously improve platform architecture, tooling, and processes to sustain a scalable, maintainable, and modern analytics ecosystem.
Support expansion of Snowflake capabilities, including application layers or integrations, to enable advanced analytics and operational use cases.
Contribute to advanced analytical initiatives, including identifying cost-savings opportunities and deriving insights from complex healthcare datasets.
Requirements gathering: lead meetings with senior stakeholders and IT, may guide cross-functional efforts, own presentation materials, and translate requirements into accessible technical and business terms; may mentor junior engineers.
Data modeling: apply expert data and analytics knowledge to autonomously build tables and views, understand key data sources and limitations, and work with cloud analytics components such as Databricks, Data Mesh, Delta Lake, and Data Lakehouse.
Analytics code development: manage code governance, propose SDLC improvements, develop test plans and validation controls, and implement gold layer objects in support of the Centene supply chain methodology.
Source code and documentation management: define departmental principles for code and documentation, and may oversee multiple code bases with broad domain exposure.
Defect investigation and remediation: deliver products with very low defect rates, address defects of any complexity, and take ownership of critical issues; may define remediation standards.
Perform other duties as assigned.
Comply with all policies and standards.

Requirements

Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science).
4–6 years of relevant experience in data engineering, analytics, or a related field.

Technologies

Snowflake
dbt
GitLab
Power BI
Python
SQL
Databricks
Delta lake

Benefits

Competitive pay
Health insurance
401K and stock purchase plans
Tuition reimbursement
Paid time off plus holidays
Flexible work options including remote, hybrid, field, or office schedules

License and Certification

No specific licenses or certifications are required for this role.

Preferred Certifications

Snowflake Certifications (Core, Specialty [e.g., Snowpark], or Advanced [e.g., Data Engineer, Data Analyst])
GitLab Certifications (e.g., Fundamentals, CI/CD Associate)
Microsoft Certified: Power BI Data Analyst Associate

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7d ago

Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

7d ago

$124k - $280k/yr Full time Manager Senior Analytics

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Job Description

PwC is seeking a Senior Data Engineer - Senior Manager in Miami, onsite. In Technology Consulting, you will lead data engineering initiatives, leverage data and analytics to deliver strategic insights for clients, and guide teams to solve complex problems. The role offers a salary range of USD 124,000 to 280,000 per year. A Bachelor's degree is required, with a minimum of six years of experience.

Benefits

Medical
Dental
Vision
401(k)
Holiday pay
Vacation
Personal and family sick leave

Responsibilities

Design and implement innovative data solutions that optimize business performance and boost client competitiveness, including roadmap development and solution optimization.
Apply advanced analytics techniques to support client operations and strategic goals, including AWS data engineering and Redshift implementations.
Build and maintain data pipelines and architectures to underpin business intelligence efforts, leveraging DataStage and ETL processes.
Deploy data visualization capabilities to deliver actionable insights and improve client outcomes, using SQL Server and DB2.
Partner with stakeholders to identify data challenges and opportunities, aligning with managed services and service level agreements.
Coach and motivate teams to solve complex problems and deliver high-quality results.
Use systems thinking to uncover underlying issues and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and refine solutions based on feedback, focusing on CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree required
Minimum of six years of experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

What sets you apart

Preferred fields of study include Computer and Information Science; Computer and Information Science and Accounting; Economics; Economics and Finance; Economics and Finance and Technology; Operations Management or Operations Research; Statistics; Engineering.
Demonstrated expertise in data architecture design and managing data pipelines.
Proficiency in Python and Java for advanced data analysis and visualization.
Experience with BI tools such as QlikView and Oracle BI.
Experience leading strategic questioning and stakeholder engagement initiatives.
Ability to apply systems thinking to identify root problems.
Ability to guide teams through complex and ambiguous situations.

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7d ago

Managed Services - Senior Data Engineer - Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

7d ago

$99k - $232k/yr Full time Manager Senior Analytics

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Job Description

PwC's Managed Services group is seeking a Senior Data Engineer - Manager to steer data engineering initiatives within the Data & Analytics practice, delivering analytics-driven solutions for client performance. This onsite role in Miami emphasizes strategic project leadership, mentoring junior engineers, and guiding data strategy across client engagements. The compensation ranges from USD 99,000 to 232,000 per year.

Responsibilities

Oversee data engineering initiatives to extract strategic insights and enhance client performance through ETL and ELT integration.
Design and deploy innovative data solutions using DataStage to enable advanced analytics.
Manage and mentor teams to elevate skills and deliver high-quality client services, focusing on pipeline architecture.
Utilize business intelligence tools and cloud analytics platforms to strengthen data‑driven decision making, with experience in AWS and Redshift.
Build and maintain scalable data pipelines and architectures to support analytics initiatives using DB2 and SQL Server.
Collaborate with stakeholders to identify opportunities for data utilization and process improvement, leveraging GoldenGate and CDC.
Lead the deployment of scalable data visualization and reporting solutions with attention to performance tuning.
Promote the adoption of new technologies and methodologies within data and analytics teams, including S3 and Glue.
Address and resolve conflicts or issues with clients and team members, escalating when necessary.
Maintain professional and technical standards, including adherence to PwC's code of conduct and independence requirements.

Requirements

Bachelor's degree required.
Minimum of four years of experience.

Technologies

DataStage
AWS
Redshift
DB2
SQL Server
GoldenGate
CDC
S3
Glue
Python
Java
BIRT
QlikView
Spotfire

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

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18d ago

Senior Data Engineer

Deloitte Miami, FL

Miami, FL

18d ago

$95k - $150k/yr Full time Senior Azure Azure Data Factory

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Job Description

Senior Data Engineer in Miami, FL (onsite) at Deloitte, with a salary range of USD 95,000 - 150,000 per year and a Bachelor's degree requirement, focusing on end-to-end data solutions and ETL/ELT pipelines using Azure Data Factory and Databricks, including governance, design, development, optimization, and mentoring within the Project Delivery Model.

Responsibilities

Maintain regular communication with Engagement Managers, project teams, and cross-functional stakeholders, escalating issues that need engagement management input.
Design, develop, and optimize ETL and ELT pipelines leveraging Azure Data Factory and Databricks.
Author and tune PySpark and Spark SQL notebooks to handle large-scale data transformations.
Architect end-to-end data solutions across development, UAT, and production environments using Unity Catalog.
Steer design discussions with client architects and other counterparts to align on technical direction.
Collaborate with multiple teams on data contracts and schema agreements to ensure interoperability.
Lead the design and optimization of high-volume data pipelines.
Define and enforce data engineering standards, including naming conventions, partitioning strategies, cluster configurations, and Spark tuning.
Drive performance improvements through AQE tuning, liquid clustering, broadcast joins, and shuffle partition management.
Design Databricks cluster policies, autoscaling settings, and cost-optimization strategies.
Perform root cause analysis on production incidents and implement permanent fixes.
Mentor junior and mid-level engineers via code reviews and pair programming.
Evaluate new technologies and advise on adoption, such as Delta Apps (DABs), Delta Live Tables (DLT), Auto Loader, Serverless Compute, and Event Hubs.

Requirements

Python, PySpark, Spark SQL, and SQL Server proficiency.
Experience with Azure services including Data Factory, Data Lake Storage Gen2, Key Vault, and Azure Monitor.
Hands-on work with Databricks components such as Delta Lake, Unity Catalog, and Workflows.
Apache Airflow for workflow orchestration.
Git and Azure DevOps for version control and CI/CD.
Deep understanding of Spark internals, including DAG optimization, spill analysis, and skew handling.
Advanced Delta Lake features such as time travel, deletion vectors, and predictive I/O.
Unity Catalog governance covering row and column security, external locations, and system tables.
Infrastructure as code experience with Terraform and Azure ARM templates.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel about 10 percent on average based on client needs and engagements.

Technologies

Python
PySpark
Spark SQL
SQL Server
Azure Data Factory (ADF)
Azure Data Lake Storage Gen2
Key Vault
Azure Monitor
Databricks
Delta Lake
Unity Catalog
Workflows
Apache Airflow
Git
Azure DevOps
Terraform
Azure ARM templates
DABs
Delta Live Tables (DLT)
Auto Loader
Serverless Compute
Event Hubs

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1mo ago

Lead Data Analyst

Baptist Health South Florida Miami, FL

Miami, FL

1mo ago Closed

$115k - $150k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

The Lead Data Analyst at Baptist Health South Florida leads analytics professionals in developing and deploying advanced analytics to generate health and wellness insights. The role defines analytics strategies, performs data mining and exploratory analysis, and communicates findings to drive actionable decisions while ensuring ongoing monitoring of analytics processes.

Responsibilities

Provide guidance to analysts as they build and implement advanced analytics solutions that yield valuable insights and support health and wellness initiatives.
Define analytics strategies aligned with business objectives through data mining and by identifying opportunities to improve existing processes or uncover new benefits.
Design approaches for exploratory analysis and extract insights from data gathered from multiple internal and external sources, including digital, clinical exhaust, and telemetry data.
Mentor others in identifying correlations and causal relationships across datasets.
Present findings and recommendations in clear, actionable formats to drive decision making.
Monitor production reports, dashboards, and other analytics processes to ensure reliable service delivery and recovery.

Requirements

Hybrid position with residency in Miami, Florida
Master's degree required
Experience as a Lead data analyst in a healthcare setting
Experience with Agentic AI or agents is preferred
Experience leading teams engaged in data querying, visualization, dashboarding, and scorecard tools
Expert-level skills in SQL, Excel, Tableau or equivalent tools
Ability to apply data visualization, descriptive and summary statistical techniques for discovery and timely insights
Hands-on experience with statistical analysis, visualization, and data mining tools such as R and Python
Experience with Epic EHR is required
Direct experience with healthcare data and exposure to electronic health records or open healthcare data sets is strongly preferred
Strong Power BI experience
DBT Cloud experience required
Visualization tools such as Tableau or Power BI
SQL experience is required
Minimum of 10 years of relevant experience

Technologies

SQL
Excel
Tableau
R
Python
Epic EHR
Power BI
DBT Cloud
Agentic AI

Benefits

Career growth and development opportunities
Comprehensive health and wellness resources
A wellness program designed to help employees reduce their medical plan deductible
Tuition reimbursement

Description

As a Lead Data Analyst, you will guide analysts in building and deploying advanced analytics that generate valuable health and wellness insights. The ideal candidate will demonstrate a proven track record of leadership in defining analytics strategies that support business objectives through data mining and identifying opportunities to improve processes or identify new benefits. You will design and oversee exploratory analysis methodologies to extract insights from diverse data sources.

Qualifications

Hybrid position, located in Miami, FL
Master's degree required
Healthcare data analytics experience is essential
Proven experience as a Lead data analyst
Experience with Agentic AI or agents is preferred
Experience leading teams in data querying, visualization, dashboarding, and scorecard development
Expert level skills in SQL, Excel, Tableau or similar tools
Ability to apply visualization, descriptive and summary statistical techniques for discovery and timely insights
Hands-on experience with R and Python for statistical analysis and data mining
Experience with Epic EHR is required
Direct experience with healthcare data and exposure to EHRs or open healthcare datasets is strongly preferred
Strong Power BI experience
Agentic AI experience is a plus
DBT Cloud experience required
Visualization tools such as Tableau or Power BI
SQL experience required
Minimum of 10 years of relevant experience

Salary

USD 115,444 - 150,077 per year

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1mo ago

Business Data Analyst -Project Delivery Senior Analyst - AI & Engineering

Deloitte Miami, FL

Miami, FL

1mo ago Closed

$69k - $127k/yr Full time Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

The Business Data Analyst - Project Delivery Senior Analyst with a focus on AI and Engineering is based onsite in Miami, FL. This role involves capturing analytics requirements, delivering agile data work, and supporting BI and reporting on client projects at Deloitte.

Responsibilities

Collaborate with product owners and business stakeholders to capture analytics needs, clarify scope, define assumptions, and document problem statements and success metrics.
Translate requirements into Agile/SAFe artifacts, including epics, features, user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning, reviews, retrospectives, and cross-team coordination.
Provide ad hoc analyses and rapid reporting to yield directional insights; develop lightweight dashboards using Tableau or Power BI when appropriate; work with BI and reporting developers to scale high-usage reports.
Support recurring analyses and reports (monthly, biweekly, weekly as applicable): define requirements, validate outputs with stakeholders, and maintain runbooks.
Coordinate and support UAT and release/change activities, including dependency tracking, risk and issue management, and stakeholder communications in alignment with client governance processes.
Maintain regular communication with Engagement Managers, project teams, and representatives from various functional and technical groups, escalating matters as needed for engagement management review.

Requirements

4+ years of experience in analytics with strong data skills, including the ability to frame ambiguous questions, SQL proficiency for querying and validating datasets, and advanced Excel usage.
4+ years of experience with BI tooling, hands-on with Tableau and/or Power BI to build or enhance reports and dashboards; solid understanding of metrics, KPI definitions, and dashboard usability.
4+ years of experience in structured storytelling using PowerPoint presentations.
4+ years of familiarity with the Snowflake data platform.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline; or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel up to 10 percent, depending on the work and client assignments.