Data Analyst

BRUNS-PAK Data Center Solutions; Maine; On-site; Full time

Benefits offered by this job

Competitive pay scale

Professional growth opportunities

Involvement in challenging projects

Job summary

A data solutions firm in the United States is seeking a Data Analyst to join their dynamic team. The ideal candidate will analyze large datasets to identify trends and support business decisions through informative dashboards and reports. Candidates should possess at least two years of experience and familiarity with tools like R, Python, and SQL, alongside strong problem-solving and organizational skills. The company values innovation and offers competitive pay and benefits.

Qualifications

• Minimum of two years of relevant professional experience as a data analyst.
• Strong statistical approach and data modeling knowledge.
• Excellent problem solver with sharp attention to detail.

Responsibilities

• Find trends, patterns, and areas for development from large datasets.
• Create and maintain useful dashboards and reports for business decisions.
• Utilize statistical techniques for trend forecasting and predictive analysis.

Skills

R

Excel

Python

SQL

Tableau

Power BI

Education

Bachelor's degree in data science, statistics, computer science, mathematics, or a closely related field

Job description

To join our dynamic team, we are looking for a Data Analyst with ambitious yet exacting nature. By giving various departments of the business insights they can apply, your expertise of data analysis will enable them to make better decisions. Working with diverse datasets, producing valuable reports, and working with cross-functional teams can help you to maximize business operations in this capacity.

Main Purposes:

• To find trends, patterns, and areas for development, compile, arrange, and assess enormous databases from many sources.
• Create and maintain useful dashboards and reports including visual depictions of important performance indicators (KPIs) to support business decisions.
• Utilize statistical techniques and tools to undertake trend forecasting and predictive analysis.
• Learn the data requirements of the stakeholders and offer customized solutions working jointly to promote corporate goals.
• Run data quality tests to guarantee datasets are correct and whole.
• For those without technical background, make sure your conclusions and suggestions are easily graspable.
• Constant improvement of data analysis techniques depends on including industry best practices.

Required Competencies:

• One either needs a bachelor's degree in data science, statistics, computer science, mathematics, or a closely connected field.
• One must minimum have two years of relevant professional experience as a data analyst.
• Capacity to effectively evaluate data using languages and tools including R, Excel, Python, SQL.
• Proficient in the application of Tableau and Power BI among data visualization tools.
• Strong statistical approach and data modeling knowledge.
• Excellent problem solver with sharp attention to detail.
• Ability to present to viewers with different degrees of technical knowledge complex data insights.
• Excellent time management and organizing skills; able of managing numerous projects at once and finishing them all within the given period.

What Values Your Company Most?

• Join a team that is innovative and encouraging and whose goal is difference.
• Possibility to help the creation of business strategy by means of involvement in multifarious and challenging projects.
• A pay scale and benefits package competitive.
• One in which people are urged to grow professionally and pick up new skills.