Entry level Data Analyst
The Entry Level Data Analyst at Confidential Client is responsible for collecting, processing, and analyzing large datasets to support business decision-making and operational efficiency. The role involves building data pipelines, creating interactive dashboards, implementing predictive models, and collaborating with cross-functional teams to translate complex data into actionable business insights.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Location & Compensation
This role is based in Schiller Park, IL (Chicago metro).
Estimated compensation: $73,948 per year (estimated).
Overview
Confidential Client is hiring an Entry level Data Analyst to help collect, process, and analyze business data to deliver actionable insights. This is an early-career, full-time role for candidates comfortable working with SQL and Python, building simple ETL/data pipelines, creating dashboards in Power BI or Tableau, and communicating results to cross-functional partners.
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
What You’ll Do
- Build and optimize basic ETL workflows and data pipelines to consolidate business data for analysis.
- Query and analyze large datasets using SQL and Python (pandas, numpy) to surface trends and KPIs.
- Create clear, interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
- Develop simple predictive models and forecasting reports to support planning and operations.
- Automate routine reporting tasks to reduce manual effort and improve delivery cadence.
- Validate data quality and maintain monitoring checks to ensure accuracy and integrity.
- Perform root-cause analyses to investigate performance and operational issues.
- Collaborate with product, operations, and finance teams to gather requirements and translate them into data-driven recommendations.
- Document data processes, transformation logic, and reporting artifacts.
Required Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or related field — or equivalent practical experience.
- Hands-on experience with SQL for querying and joining large datasets.
- Familiarity with Python for data manipulation and basic analysis (pandas, numpy).
- Experience creating dashboards in Power BI, Tableau, or similar visualization tools.
- Understanding of ETL concepts and basic data pipeline design.
- Strong analytical thinking, problem-solving skills, and attention to detail.
- Ability to communicate technical findings clearly to non-technical stakeholders.
Nice-to-Have / Preferred
- Prior internship or project experience in a data or analytics role.
- Knowledge of basic statistical methods and simple predictive modeling techniques.
- Familiarity with workflow automation (Airflow, cron, or scripting).
- Experience working with cloud data stores (AWS, Azure, BigQuery) or modern data stacks.
Why Apply via Careertakes
Careertakes operates as a third-party recruiting partner. We streamline your application, provide visibility into similar roles, and offer candidate support throughout the process. If selected, you will be hired by our client (Confidential Client).
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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