Data Analyst (test)

Chicago, Illinois, United StatesOnsiteFull Time$30,000–$30,000 /yrPosted 2 months ago

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Role summary

As a Data Analyst, you will transform raw data into actionable insights to drive strategic decisions. Your responsibilities include performing data analysis, writing SQL queries, creating data visualizations using tools like Tableau and Power BI, applying statistical analysis, and developing Python/R scripts. You will also engage in data mining, apply machine learning algorithms, and present findings to diverse audiences. Collaboration with cross-functional teams to define data requirements and ensure data quality is key. A Bachelor's degree in a related field and a minimum of 3 years of experience are required.

### About This Job:

As a Data Analyst, you play a crucial role in transforming raw data into actionable insights that drive strategic decisions. You work closely with various teams to understand their data needs, develop analytical solutions, and communicate findings effectively. Your analysis directly impacts business performance and helps shape future strategies.

### Job Duties and Responsibilities:

Performs data analysis to identify trends, patterns, and anomalies.
Writes and executes SQL queries to extract and manipulate data from various databases.
Creates compelling data visualizations using tools like Tableau and Power BI to communicate insights to stakeholders.
Applies statistical analysis techniques to validate hypotheses and draw meaningful conclusions.
Develops and maintains Python and R scripts for data processing and analysis.
Conducts data mining activities to discover hidden patterns and relationships in large datasets.
Applies machine learning algorithms to build predictive models and improve business outcomes.
Presents data findings and recommendations to both technical and non-technical audiences.
Collaborates with cross-functional teams to define data requirements and ensure data quality.
Stays current with industry trends and emerging technologies in data analysis.

### Required Qualifications:

#### Education:

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

#### Experience:

Minimum of 3 years of experience in a data analysis role.
Proven experience with SQL and relational databases.
Experience with data visualization tools such as Tableau or Power BI.
Experience with Python or R for data analysis and scripting.

#### Knowledge/Skills:

Strong understanding of statistical methods and data analysis techniques.
Proficiency in SQL for data extraction and manipulation.
Excellent data visualization skills to present complex data in a clear and concise manner.
Working knowledge of machine learning algorithms and techniques.
Ability to communicate technical findings effectively to non-technical audiences.
Strong problem-solving and analytical skills.

#### Preferred Qualifications:

Master's degree in a related field.
Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
Familiarity with data mining techniques and tools.

#### Physical Requirements/Work Conditions:

Prolonged periods of sitting at a desk and working on a computer.
Ability to communicate effectively through verbal and written means.
Occasional travel may be required.

Ready to apply?

You'll be redirected to Near North Health Service Corporation's application page.