Data Analyst

Benda Infotech

Chicago (IL)

In loco

USD 65.000 - 85.000

Tempo pieno

4 giorni fa

Candidati tra i primi

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Vantaggi offerti da questo lavoro

Competitive salary

Medical, dental, and vision insurance

Paid holidays and generous PTO

Retirement plan with employer match

Professional development support

Descrizione del lavoro

Benda Infotech in Chicago seeks a detail-oriented Data Analyst to transform complex data into actionable insights that support business decisions and improve operations. You will work with stakeholders, product, and tech teams to analyze data, build dashboards, identify trends, and deliver recommendations.

This role suits recent graduates and early-career professionals who are passionate about data analytics, BI, and data-driven decision-making.

Competenze

Bachelor's degree or higher in CS/IT/Data Science/Statistics/Math/Business Analytics/Information Systems/Economics or related field.
0–2 years of experience in Data Analytics, BI, or Reporting.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Ability to work independently and collaboratively in a fast-paced environment.

Mansioni

Collect, clean, validate, and analyze large datasets from multiple sources.
Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
Write efficient SQL queries to extract, manipulate, and analyze data.
Perform exploratory data analysis to identify trends and opportunities.
Create visualizations that communicate insights to stakeholders.

Conoscenze

Analytical thinking

Problem solving

Attention to detail

Communication skills

Time management

Team collaboration

Adaptability

Curiosity and continuous learning

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Power BI

Tableau

SQL

Descrizione del lavoro

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will transform complex data into meaningful insights that support strategic business decisions and improve operational performance. You will work closely with business stakeholders, product teams, and technical teams to analyze data, build dashboards, identify trends, and deliver actionable recommendations.

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities

Collect, clean, validate, and analyze large datasets from multiple sources.
Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
Write efficient SQL queries to extract, manipulate, and analyze data.
Perform exploratory data analysis to identify trends, patterns, and business opportunities.
Create visualizations that communicate insights to both technical and non-technical stakeholders.
Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions.
Monitor key performance indicators (KPIs) and prepare recurring business reports.
Ensure data accuracy, consistency, and integrity across reporting systems.
Automate recurring reports and improve existing reporting processes.
Document data models, business rules, and analytical methodologies.
Support ad hoc analysis and provide recommendations based on business needs.

Qualifications & Requirements

Minimum Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field.
0–2 years of experience in Data Analytics, Business Intelligence, or Reporting (Recent Graduates are encouraged to apply).
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

Internship or academic project experience in data analysis or business intelligence.
Experience creating dashboards and executive reports.
Knowledge of KPIs, business metrics, and reporting frameworks.
Familiarity with Agile methodologies and project collaboration tools.
Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
Experience working with structured and unstructured datasets is an advantage.

Soft Skills