Stenzo Tech
Data Analyst
Stenzo Tech, Tampa, Florida, us, 33646
About Stenzo Tech:At Stenzo Tech, we are dedicated to transforming businesses through innovative technology solutions. As a newly established company, we offer a range of services, including cutting-edge software development, data analytics, and digital transformation strategies. Our mission is to create lasting impacts for our clients while fostering a supportive and growth-driven environment for our team members.We believe in nurturing talent, providing international exposure, and offering exciting career development opportunities. Join us as we build the future of technology together!Connect with us on LinkedIn - https://lnkd.in/dRSiqzJ6 or visit our website at www.stenzo.co to learn more about our vision and services.Job Title:
Data AnalystLocation:
Tampa, FLJob Type:
Full-TimeJob Overview:
We are seeking a detail-oriented and highly skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis and a passion for using data to drive business decisions. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights and support strategic decision-making across various departments.Key Responsibilities:
Data Collection and Cleaning:Gather and preprocess data from various sources including databases, spreadsheets, and APIs.Ensure data integrity and accuracy by performing data cleaning and validation.
Data Analysis:Analyze large datasets to identify trends, patterns, and insights.Use statistical techniques and data visualization tools to interpret and present data findings.
Reporting and Visualization:Create comprehensive reports and dashboards to communicate findings to stakeholders.Develop visualizations that effectively convey complex data insights to non-technical audiences.
Business Intelligence:Collaborate with cross-functional teams to understand business needs and objectives.Provide data-driven recommendations to support business strategies and decision-making.
Performance Tracking:Monitor and evaluate key performance indicators (KPIs) to assess business performance.Identify areas for improvement and propose actionable solutions.
Tool Management:Utilize analytical tools and software such as Excel, SQL, Python, R, Tableau, or Power BI.Stay updated on industry trends and new technologies to continuously enhance analytical capabilities.
Documentation and Communication:Document data analysis processes, methodologies, and findings.Present data insights to stakeholders in a clear and concise manner.
Qualifications:
Education:Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced degree preferred.
Experience:Proven experience as a Data Analyst or similar role, with a strong portfolio of completed projects.Experience with data analysis tools and languages such as SQL, Python, R, or similar.
Skills:Proficiency in data visualization tools like Tableau, Power BI, or similar.Strong analytical and problem-solving skills with attention to detail.Ability to work with large datasets and perform complex data analysis.Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Attributes:Strong organizational skills and the ability to manage multiple projects simultaneously.A proactive and collaborative approach to problem-solving.Enthusiasm for learning and staying updated on industry best practices.
Preferred Qualifications:
Experience with advanced analytics and machine learning techniques.Knowledge of data warehousing concepts and experience with ETL processes.Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).What We Offer:
Competitive salary and benefits package.Opportunities for professional growth and development.A collaborative and dynamic work environment.[Any other company-specific perks or benefits].
Data AnalystLocation:
Tampa, FLJob Type:
Full-TimeJob Overview:
We are seeking a detail-oriented and highly skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis and a passion for using data to drive business decisions. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights and support strategic decision-making across various departments.Key Responsibilities:
Data Collection and Cleaning:Gather and preprocess data from various sources including databases, spreadsheets, and APIs.Ensure data integrity and accuracy by performing data cleaning and validation.
Data Analysis:Analyze large datasets to identify trends, patterns, and insights.Use statistical techniques and data visualization tools to interpret and present data findings.
Reporting and Visualization:Create comprehensive reports and dashboards to communicate findings to stakeholders.Develop visualizations that effectively convey complex data insights to non-technical audiences.
Business Intelligence:Collaborate with cross-functional teams to understand business needs and objectives.Provide data-driven recommendations to support business strategies and decision-making.
Performance Tracking:Monitor and evaluate key performance indicators (KPIs) to assess business performance.Identify areas for improvement and propose actionable solutions.
Tool Management:Utilize analytical tools and software such as Excel, SQL, Python, R, Tableau, or Power BI.Stay updated on industry trends and new technologies to continuously enhance analytical capabilities.
Documentation and Communication:Document data analysis processes, methodologies, and findings.Present data insights to stakeholders in a clear and concise manner.
Qualifications:
Education:Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced degree preferred.
Experience:Proven experience as a Data Analyst or similar role, with a strong portfolio of completed projects.Experience with data analysis tools and languages such as SQL, Python, R, or similar.
Skills:Proficiency in data visualization tools like Tableau, Power BI, or similar.Strong analytical and problem-solving skills with attention to detail.Ability to work with large datasets and perform complex data analysis.Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Attributes:Strong organizational skills and the ability to manage multiple projects simultaneously.A proactive and collaborative approach to problem-solving.Enthusiasm for learning and staying updated on industry best practices.
Preferred Qualifications:
Experience with advanced analytics and machine learning techniques.Knowledge of data warehousing concepts and experience with ETL processes.Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).What We Offer:
Competitive salary and benefits package.Opportunities for professional growth and development.A collaborative and dynamic work environment.[Any other company-specific perks or benefits].