Data Analyst

Data Analyst

Job Description:

We are looking for a motivated and detail-oriented individual to join our Business Intelligence team as an Entry-Level Data Analyst. In this position, you will be responsible for gathering, cleaning, and analyzing data to uncover trends and insights that will support decision-making across various departments. You will utilize SQL to extract data from databases and create comprehensive reports that cater to the needs of stakeholders. Additionally, you will be tasked with designing visualizations and dashboards using tools like Amazon QuickSight and BrightGauge to effectively communicate your findings. This role requires a collaborative spirit as you will work closely with different teams to understand their data needs and deliver effective solutions that enhance business performance. Presenting your analyses and recommendations to management will be a key part of your responsibilities, so clarity and conciseness in your communication are essential for success in this role.

IT Languages:

• SQL
• Python

As a Data Analyst, you will engage in various tasks that contribute to the analytical capabilities of our organization.:

Collect and clean data from multiple sources to ensure accuracy and reliability;; Analyze data to identify patterns, trends, and actionable insights;; Utilize SQL for querying databases and generating insightful reports;; Create compelling visualizations and dashboards to present data insights;; Collaborate with cross-functional teams to understand their data requirements;; Present findings and strategic recommendations clearly to management

Spoken Languages:

• English

Skillset:

• Microsoft Excel
• SQL
• Data Visualization Tools
• Statistical Analysis
• Data Cleaning
• Python

Soft Skills:

• Strong written and verbal communication skills
• Excellent presentation abilities
• Problem-solving mindset
• Eagerness to learn and adapt in a fast-paced environment
• Attention to detail

Qualifications:

• Proficient in Microsoft Excel, especially with pivot tables and VLOOKUP
• Experience with data visualization tools such as Amazon QuickSight, BrightGauge, or Power BI
• Basic understanding of statistical concepts including mean, median, and regression analysis
• Familiarity with data cleaning and preparation techniques
• Knowledge of Python and libraries like Pandas and NumPy is a plus
• Ability to write and execute SQL queries

Years of Experience:

0

Location:

United States

Job Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Flexible work schedule
• Diverse project assignments

Working Conditions:

Remote

Employment Type:

Permanent Contract

Company Culture:

• Our company fosters a collaborative and inclusive environment that values innovation and professional development. We encourage our team members to take initiative and support each other in achieving our collective goals.

Opportunities For Advancement:

• Professional development programs, Mentorship opportunities, Career advancement within the company

Visa Sponsorship:

Not Available