
Data Analyst
Jobright.ai · United States
- Hybrid
- Contract
- $72,800 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Analyze large datasets for trends and insights.
- Develop and deploy machine learning models.
- Create dashboards and reports with BI tools.
- Write complex SQL queries for data extraction.
- Collaborate with stakeholders on analytical solutions.
About the role
About Matricstek Inc.
Matricstek Inc. is a US-based IT consulting and employment solutions firm focused on bridging the gap between skilled professionals and industry opportunities.
Role Responsibilities
- Collect, clean, and analyze large datasets to identify trends, patterns, and insights
- Perform exploratory data analysis (EDA) and statistical analysis to support decision-making
- Develop and deploy machine learning models where applicable
- Create dashboards and reports using BI tools to communicate insights effectively
- Write complex SQL queries to extract and manipulate data from multiple sources
- Collaborate with stakeholders to understand business needs and translate them into analytical solutions
- Monitor data quality and ensure accuracy and consistency across datasets
- Present findings to non-technical stakeholders in a clear and actionable manner
Qualifications
Required
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field
- Experience in data analysis, data science, or a similar role
- Strong proficiency in Python (Pandas, NumPy) or R
- Advanced SQL skills for data querying and transformation
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Solid understanding of statistics, probability, and data modeling
- Experience working with large datasets and relational databases
Preferred
- Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Knowledge of ETL processes and data pipeline development
- Experience with big data tools (Spark, Hadoop)
- Exposure to A/B testing and experimentation
Key skills/competency
- Data Analysis
- Python
- SQL
- Data Visualization
- Machine Learning
- Statistics
- Data Cleaning
- Data Modeling
- Tableau
- Power BI
Skills & topics
- Data Analyst
- Data Science
- Python
- SQL
- Data Visualization
- Machine Learning
- Statistics
- Data Cleaning
- Data Modeling
- BI Tools
- Tableau
- Power BI
- Looker
- Pandas
- NumPy
- R
- AWS
- Azure
- GCP
- Spark
- Hadoop
How to get hired
- Tailor your resume: Highlight your Python, SQL, and data visualization skills.
- Showcase projects: Detail your experience with large datasets and machine learning.
- Prepare for technical questions: Brush up on statistics, probability, and data modeling concepts.
- Demonstrate communication skills: Practice explaining complex findings to non-technical audiences.
- Research Matricstek Inc.: Understand their IT consulting and employment solutions focus.
Technical preparation
Practice complex SQL queries on large datasets.,Build and present data visualizations with BI tools.,Develop and test Python/R scripts for analysis.,Review statistical concepts and data modeling techniques.
Behavioral questions
Describe a time you found insights in data.,How do you explain complex data to others?,Tell me about a data quality challenge you faced.,How do you collaborate with non-technical stakeholders?
Frequently asked questions
- What are the key technical skills required for the Data Analyst role at Matricstek Inc.?
- The Data Analyst role at Matricstek Inc. requires strong proficiency in Python (Pandas, NumPy) or R, advanced SQL skills for data querying and transformation, and experience with data visualization tools like Tableau, Power BI, or Looker. A solid understanding of statistics, probability, and data modeling is also essential.
- Does Matricstek Inc. require specific educational qualifications for this Data Analyst position?
- Yes, Matricstek Inc. requires candidates to have a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field for the Data Analyst position.
- What experience level is expected for the Data Analyst role at Matricstek Inc.?
- Matricstek Inc. expects candidates to have prior experience in data analysis, data science, or a similar role, along with experience working with large datasets and relational databases.
- Are there preferred qualifications for the Data Analyst role at Matricstek Inc.?
- Preferred qualifications for the Data Analyst role at Matricstek Inc. include experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch), familiarity with cloud platforms (AWS, Azure, GCP), knowledge of ETL processes, experience with big data tools (Spark, Hadoop), and exposure to A/B testing.
- How can I best showcase my qualifications for the Data Analyst job at Matricstek Inc.?
- To best showcase your qualifications for the Data Analyst job at Matricstek Inc., emphasize your experience in collecting, cleaning, and analyzing large datasets, your ability to create dashboards and reports, and your skills in writing complex SQL queries and presenting findings clearly.
- What is the hourly salary range for the Data Analyst position at Matricstek Inc.?
- The Data Analyst position at Matricstek Inc. offers an hourly salary range of $35 to $40 per hour.
- What kind of company is Matricstek Inc.?
- Matricstek Inc. is a US-based IT consulting and employment solutions firm dedicated to connecting skilled professionals with industry opportunities.