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.
- Build machine learning models and create reports.
- Utilize advanced SQL for data extraction.
- Collaborate with stakeholders on analytical solutions.
- Bachelor's or Master's degree required.
About the role
About the Role
This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform.Hiring Company: Matricstek Inc.
One-liner: Matricstek Inc. is a US-based IT consulting and employment solutions firm focused on bridging the gap between skilled professionals and industry opportunities.
Salary: $35/hr - $40/hr
Why Join Us
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 Analysis
- Python
- SQL
- Data Visualization
- Machine Learning
- Statistics
- Data Cleaning
- Data Modeling
- Tableau
- Power BI
- R
- NumPy
- Pandas
- AWS
- Azure
- GCP
- Spark
- Hadoop
- ETL
- IT Consulting
- Employment Solutions
How to get hired
- Tailor your resume: Highlight your Python, SQL, and data visualization skills. Quantify your achievements in data analysis.
- Showcase your projects: Include a portfolio or GitHub with relevant data analysis projects.
- Prepare for technical interviews: Brush up on SQL, Python (Pandas, NumPy), statistics, and data modeling concepts.
- Understand the company: Research Matricstek Inc.'s IT consulting and employment solutions focus.
Technical preparation
Practice complex SQL queries for data extraction.,Implement data cleaning and analysis in Python/R.,Build and deploy simple machine learning models.,Create dashboards using Tableau or Power BI.
Behavioral questions
Describe a time you analyzed complex data.,How do you present findings to non-technical staff?,How do you ensure data quality and accuracy?,How do you collaborate with stakeholders on needs?
Frequently asked questions
- What is the salary range for the Data Analyst position at Matricstek Inc.?
- The Data Analyst position at Matricstek Inc. offers an hourly rate between $35 and $40.
- What educational background is required for the Data Analyst role?
- A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field is required for this Data Analyst position.
- What programming languages and tools are essential for this Data Analyst job?
- Proficiency in Python (Pandas, NumPy) or R, advanced SQL skills, and experience with data visualization tools like Tableau or Power BI are essential for this Data Analyst role.
- Does this Data Analyst role involve machine learning?
- Yes, the Data Analyst role includes the responsibility to develop and deploy machine learning models where applicable, with preferred experience in frameworks like Scikit-learn.
- What kind of datasets will a Data Analyst work with at Matricstek Inc.?
- A Data Analyst will work with large datasets, performing collection, cleaning, and analysis to identify trends and insights, ensuring data quality and consistency.
- How can I best prepare for the technical interview for this Data Analyst position?
- To prepare for the technical interview, focus on advanced SQL querying and transformation, Python data manipulation with Pandas/NumPy, statistical analysis, and data modeling concepts.
- What are the preferred qualifications for the Data Analyst role?
- Preferred qualifications include experience with machine learning frameworks, cloud platforms (AWS, Azure, GCP), ETL processes, big data tools (Spark, Hadoop), and A/B testing.