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Insight Analyst Jobs in Florida (NOW HIRING)

As a Data Insight Analyst , you'll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You'll not only acquire ...

As a Data Insight Analyst , you'll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You'll not only acquire ...

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Insight Analyst information

See Florida salary details

$23.2K

$54.7K

$97.1K

How much do insight analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for insight analyst in Florida is $54,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $65,000.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

Insight analysts typically do not earn $1,000,000 annually; such high earnings are usually associated with top executives, successful entrepreneurs, or highly specialized roles in finance, technology, or investment banking. Achieving this level of income often requires extensive experience, advanced skills, and sometimes ownership stakes or performance-based bonuses.

What is the difference between Insight Analyst vs Data Analyst?

AspectInsight AnalystData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; often some certifications in analytics toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentBusiness intelligence teams, consulting firms, or corporate departments focusing on strategic insightsData-focused teams in various industries, often working with large datasets and reporting tools
Employer & Industry UsageUsed across finance, marketing, and consulting sectors to inform strategic decisionsCommon in tech, healthcare, finance, and retail for data processing and reporting

Insight Analysts focus on interpreting data to provide strategic insights and support decision-making, often working closely with business teams. Data Analysts primarily handle data collection, cleaning, and reporting, with a strong emphasis on technical data manipulation. Both roles require analytical skills and familiarity with data tools, but Insight Analysts tend to have a broader business focus, while Data Analysts are more technical.

What do insights analysts do?

Insights analysts collect, analyze, and interpret data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, generate reports, and support strategic planning.

Is 40 too old to become a data analyst?

Insight analysts and data analysts come from diverse backgrounds, and age is not a barrier to entering the field. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, which can be learned through online courses or certifications regardless of age.

What are Insight Analysts?

Insight Analysts are professionals who collect, analyze, and interpret data to provide actionable insights for businesses or organizations. They use statistical tools and data visualization techniques to identify trends, patterns, and opportunities that can inform strategic decisions. Insight Analysts often work closely with stakeholders to understand business needs and present their findings in clear, understandable ways. Their work helps organizations improve performance, optimize operations, and better serve customers.

How to become an insight analyst?

To become an insight analyst, you typically need a bachelor's degree in fields like data analysis, statistics, or business. Developing skills in data visualization tools such as Tableau or Power BI, along with proficiency in SQL and Excel, is essential. Gaining experience through internships or entry-level roles helps build practical knowledge in data interpretation and reporting.

How do Insight Analysts typically collaborate with other departments to drive business decisions?

Insight Analysts frequently work alongside teams such as marketing, finance, and product development to translate data findings into actionable strategies. They participate in cross-functional meetings, present data-driven recommendations, and ensure that stakeholders understand the implications of their analyses. Effective communication and teamwork are essential, as Insight Analysts often bridge the gap between complex datasets and practical business solutions, directly contributing to informed decision-making across the organization.

What are the key skills and qualifications needed to thrive as an Insight Analyst, and why are they important?

To thrive as an Insight Analyst, you need strong analytical skills, experience with data analysis, and a background in statistics or business, often supported by a relevant degree. Proficiency in tools such as SQL, Excel, Power BI, or Tableau, as well as familiarity with statistical software like R or Python, is typically required. Excellent communication, critical thinking, and problem-solving skills help translate complex data findings into actionable business recommendations. These abilities are crucial for delivering valuable insights that drive strategic decision-making and organizational growth.
What are the most commonly searched types of Insight Analyst jobs in Florida? The most popular types of Insight Analyst jobs in Florida are:
What are popular job titles related to Insight Analyst jobs in Florida? For Insight Analyst jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Insight Analyst jobs? Cities in Florida with the most Insight Analyst job openings:
Information Technology_USA - USA_Analyst

Information Technology_USA - USA_Analyst

Real Soft, Inc.

Jacksonville, FL โ€ข On-site

Contractor

Re-posted 12 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Andres Villegas
Location: All days onsite, must be ready to come in office for in person interviews during any day between M-F as per customer requirements. 6565 Headquarters Drive , Plano , Texas 75024
Duration: 6 months
skill id: 10741454
Role Descriptions: The Analytics Insight Analyst with AI Expertise is responsible for extracting actionable business insights by leveraging advanced analytics techniques and AI-powered tools. This role involves deep data analysis| pattern recognition| and predictive modeling to support strategic decision-making. The analyst will collaborate with business stakeholders and data teams to translate complex data into clear| impactful insights using AI technologies.Key ResponsibilitiesPerform deep-dive analysis of large and complex datasets to uncover trends| patterns| and opportunities using AI and machine learning tools.Utilize AI-powered analytics platforms to enhance data exploration| anomaly detection| and predictive insights.Develop and validate models that support forecasting| customer segmentation| and behavior analysis.Collaborate with business units to understand analytical needs and translate them into AI-driven solutions.Create clear| concise reports and visualizations that communicate insights effectively to technical and non-technical audiences.Continuously evaluate emerging AI tools and techniques to improve analytics capabilities.Work closely with data engineers and data scientists to ensure data quality and model accuracy.Support automation of routine analytics tasks using AI to increase efficiency and scalability.Maintain documentation of methodologies| models| and insights for knowledge sharing.QualificationsProven experience in analytics with strong knowledge of AI| machine learning| or data science tools (e.g.| Python| R| TensorFlow| Azure ML| or similar).Experience with data visualization tools such as Tableau| Power BI| or equivalent.Strong statistical and analytical skills with the ability to interpret complex data.Familiarity with big data platforms and databases (SQL| NoSQL) is a plus.Excellent communication skills to present insights clearly to diverse stakeholders.Ability to work independently and collaboratively in a fast-paced environment.Bachelors or Masters degree in Data Science| Statistics| Computer Science| Business Analytics| or related field preferred.
Essential Skills: The Analytics Insight Analyst with AI Expertise is responsible for extracting actionable business insights by leveraging advanced analytics techniques and AI-powered tools. This role involves deep data analysis| pattern recognition| and predictive modeling to support strategic decision-making. The analyst will collaborate with business stakeholders and data teams to translate complex data into clear| impactful insights using AI technologies.Key ResponsibilitiesPerform deep-dive analysis of large and complex datasets to uncover trends| patterns| and opportunities using AI and machine learning tools.Utilize AI-powered analytics platforms to enhance data exploration| anomaly detection| and predictive insights.Develop and validate models that support forecasting| customer segmentation| and behavior analysis.Collaborate with business units to understand analytical needs and translate them into AI-driven solutions.Create clear| concise reports and visualizations that communicate insights effectively to technical and non-technical audiences.Continuously evaluate emerging AI tools and techniques to improve analytics capabilities.Work closely with data engineers and data scientists to ensure data quality and model accuracy.Support automation of routine analytics tasks using AI to increase efficiency and scalability.Maintain documentation of methodologies| models| and insights for knowledge sharing.QualificationsProven experience in analytics with strong knowledge of AI| machine learning| or data science tools (e.g.| Python| R| TensorFlow| Azure ML| or similar).Experience with data visualization tools such as Tableau| Power BI| or equivalent.Strong statistical and analytical skills with the ability to interpret complex data.Familiarity with big data platforms and databases (SQL| NoSQL) is a plus.Excellent communication skills to present ins
โ€ข Top 3 Required Skills:
1.PowerBI
2. Tableau
3. Adobe Analytcs
โ€ข Top 3 Preferred Skills:
1.Python, R, TensorFlow, Azure ML, or similar).
โ€ข 2.SQL , NoSQL
3; Bedrock, Project Code :