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Walk In Data Analyst Interview Jobs in Florida (NOW HIRING)

Gerdau

DATA ANALYST

Tampa, FL · On-site

The successful candidate will be crucial in leveraging data to improve timely business decisions ... Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that ...

Booz Allen Hamilton

Senior Data Analyst

Hurlburt Field, FL · On-site

$78K - $99K/yr

Write queries and scripts in SQL to extract, manipulate, and analyze data from enterprise databases. * Write queries and scripts in Microsoft Excel to extract, manipulate, and analyze data from ...

INSPYR Solutions

Data Analyst

Pensacola, FL · On-site

Title: Data Analyst Location: Open to hybrid in Pensacola, FL, Winchester, VA, or Vienna VA. Duration: Initial 6 months plus extensions Work Requirements: USC, GC or Authorized to work in the US ...

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

... INTERVIEW if requested. MUST HAVE GREAT COMMUNICATION SKILLS  Location: Must reside in Florida ... Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key ...

Ci

Data Analyst

Miami, FL

Proficiency in advanced data tooling, including SQL, DBT, and Tableau, as well as data modeling and data quality frameworks. * Advanced Excel modeling skills preferred. * Strong analytical, problem ...

Lennar

Data Analyst II

Miami, FL · On-site

Responsibilities : • Analyze business problems and opportunities, providing data-driven findings and recommendations. • Gather and document analytics and reporting requirements in collaboration ...

Lennar

Data Analyst II

Miami, FL · On-site

Responsibilities : • Analyze business problems and opportunities, providing data-driven findings and recommendations. • Gather and document analytics and reporting requirements in collaboration ...

MANTECH

Data Analyst with Security Clearance

Miami, FL · On-site

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our team in Doral, FL. Responsibilities include but are not limited to: * Lead the development and implementation of data ...

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Walk In Data Analyst Interview information

Is it easy to crack a data analyst interview?

Cracking a data analyst interview requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and a good understanding of statistical concepts. Preparation through practicing case studies, technical questions, and understanding the company's data environment can improve success chances. While challenging, consistent study and experience can make the process more manageable.

Is it hard to get hired as a data analyst?

Getting hired as a data analyst can be competitive, as it often requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and relevant experience or certifications. Success depends on the candidate's technical abilities, problem-solving skills, and the demand within the industry or company.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle large data sets efficiently, human expertise remains essential for interpreting results, understanding context, and making value-driven recommendations. Data analysts who develop skills in machine learning tools and data visualization will continue to be valuable in the evolving job market.

Is 40 too late for data science?

For a data analyst or data scientist role, starting a career at 40 is possible, especially with relevant skills such as programming, statistics, and tools like Python or SQL. Many professionals transition into data roles later in life by gaining certifications or experience, and age is less of a barrier than skill level and continuous learning.
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DATA ANALYST

DATA ANALYST

Gerdau

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Gerdau rating

7.0

Company rating: 7.0 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

390th of 527 rated manufacturers

Job description

At Gerdau, we empower our people to grow, thrive, and make a difference-together. With a culture built on trust and teamwork, we offer meaningful work, continuous development, and opportunities to shape your future. We invite you to come work with us, where your contributions are valued, your voice is heard, and your career is forged with purpose
Location: Tampa, FL
Job Summary: We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business decisions and implement AI solutions across Sales and Operations Planning, Fulfillment, and Logistics.
Key Responsibilities:
  • Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that drive business decisions.
  • Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes and improve operational efficiency.
  • Collaborate with cross-functional teams, including marketing, IT, and customer service, to ensure seamless data integration and alignment with business goals.
  • Create and maintain dashboards and reports for real-time visibility into key performance metrics and operational insights.
  • Conduct data-driven analysis to support strategic initiatives and identify opportunities for process improvements.
  • Work closely with stakeholders to understand business requirements and translate them into actionable data insights and AI solutions.
  • Stay up to date with the latest advancements in data science, AI, and supply chain management to continuously enhance our capabilities.

Qualifications:
  • Bachelor's or master's degree in data science, Computer Science, Statistics, Supply Chain Management, or a related field.
  • Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment.
  • Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI.
  • Experience with machine learning algorithms, AI frameworks, and statistical modeling techniques.
  • Excellent problem-solving skills and the ability to work with complex datasets to derive meaningful insights.
  • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
  • Ability to manage multiple projects and prioritize tasks in a fast-paced environment.

Preferred Skills:
  • Experience with supply chain management systems and ERP software.
  • Knowledge of advanced analytics techniques and predictive modeling.
  • Familiarity with cloud-based data platforms and big data technologies.

Benefits:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Professional development opportunities and continuous learning.
  • Collaborative and inclusive work environment.

Gerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.
If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com

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