Data Analyst

Nimbus Meadows LLC; Baltimore (MD); Sur place; USD 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement plan with employer matching

Professional development opportunities

Flexible work arrangements

Résumé du poste

Nimbus Meadows LLC in Baltimore, MD is seeking a Data Analyst to support strategic decisions by collecting, processing, and analyzing data and by creating reports and dashboards to visualize insights.

You will collaborate with cross-functional teams to interpret data and translate findings into actionable recommendations, maintain data models, and present clear visual insights to stakeholders. Bachelor's in a related field and proficiency in SQL, Python, Tableau, and Power BI are required.

Qualifications

• Bachelor's degree in Data Science, Statistics, or a related field.
• Proficiency with data analysis tools such as SQL, Python, and Tableau.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Experience building dashboards and data models.

Responsabilités

• Analyze large datasets to identify trends and patterns and provide insights to guide decisions.
• Create reports and dashboards to visualize data insights for stakeholders.
• Collaborate with cross-functional teams to translate data into actionable recommendations.
• Develop and maintain data models ensuring data integrity and reliability.
• Stay up-to-date with data analysis tools and technologies and propose improvements.

Connaissances

SQL

Python

Tableau

Power BI

Analytical thinking

Communication

Formation

Bachelor's degree in Data Science / Statistics (or related field)

Outils

SQL

Python

Tableau

Power BI

Description du poste

Nimbus Meadows LLC, a software development firm in Baltimore, MD, seeks a Data Analyst for a FULL_TIME position. This role involves analyzing data to support strategic decisions and business growth. The salary is negotiable, and the position is valid until November 23, 2026.

As a Data Analyst, you will collect, process, and analyze data to identify trends and patterns. You will create reports and dashboards to visualize data insights. You will collaborate with cross-functional teams to interpret data and provide actionable recommendations.

You will work in an office environment in Baltimore, MD. The team is collaborative and supportive, fostering a productive work atmosphere. The workplace is equipped with modern technology and resources to facilitate efficient data analysis.

The salary is negotiable based on the candidate's years of experience and specific qualifications, allowing for a competitive and fair compensation package. Benefits include comprehensive health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development, such as workshops, training programs, and access to industry certifications. Additional perks may include flexible work arrangements, such as remote work options or adjusted hours, and performance bonuses tied to individual and team goals. These comprehensive benefits and perks aim to attract and retain top talent, fostering a motivated and engaged workforce.

You should have a Bachelor's degree in Data Science, Statistics, or a related field. Experience with data analysis tools like SQL, Python, and Tableau is required. Strong analytical and problem-solving skills are essential. Knowledge of data visualization techniques is a plus.

• Analyze large datasets to identify trends and patterns, providing valuable insights to guide strategic decisions.
• Develop and maintain data models, ensuring accuracy and reliability for our data analysis processes.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable data solutions.
• Create clear and compelling data visualizations to effectively communicate insights to stakeholders.
• Stay up-to-date with the latest data analysis tools and technologies, recommending improvements to our processes.
• Bachelor's degree in a related field or equivalent practical experience.
• Proven experience as a Data Analyst or similar role, with a strong portfolio of projects.
• Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences.