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Data Analyst

Remote / Online - Candidates ideally in
Glen Burnie, Anne Arundel County, Maryland, 21060, USA
Listing for: Quartz Premier Solutions
Full Time, Remote/Work from Home position Listed on 2026-11-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 195985 USD Yearly USD 140000.00 195985.00 YEAR

Job Description & How to Apply Below

Quartz Premier Solutions, a leading provider of data-driven solutions in the financial services industry, is hiring a Data Analyst in Baltimore, MD. This full-time position offers a salary range of $140,000 - $195,985.

As a Data Analyst, you will analyze diverse data sets to provide insights that aid in informed decision-making. Your tasks will include data cleaning, processing, and visualization, as well as creating reports and dashboards.

You will join a collaborative team in Baltimore, MD, where innovation and excellence are highly valued. The workplace fosters a culture of continuous learning and growth, with regular training sessions, workshops, and access to a wealth of resources. Team members are encouraged to share their knowledge and experiences, creating an environment where everyone can learn and grow together. The team works on a variety of projects, each with its unique challenges and opportunities for growth.

The workplace is modern and well-equipped, with state-of-the-art technology and comfortable work spaces. There is a strong emphasis on work-life balance, with flexible hours and remote work options available. The team is diverse and inclusive, with members from various backgrounds and experiences. This diversity is seen as a strength, with team members bringing different perspectives and ideas to the table. The workplace is also committed to sustainability, with initiatives in place to reduce waste and conserve resources.

Overall, the team is a dynamic and supportive environment where employees can thrive and achieve their full potential.

The salary range for this role is $140,000 to $195,985 per year, providing a competitive compensation package. In addition to the base salary, employees are offered comprehensive benefits, which include full health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development, such as tuition reimbursement or access to online courses. These benefits are designed to support the overall well-being and career growth of the employees.

To excel in this role, you should have a bachelor's degree in data analysis, statistics, or a related field. Proficiency in tools like SQL, Excel, and Tableau is essential. Experience with Python or R is a plus.

Responsibilities
  • As a Data Analyst, you will analyze diverse data sets to provide insights that aid in informed decision-making.
  • Your tasks will include data cleaning, processing, and visualization, as well as creating reports and dashboards.
  • Analyze large data sets to identify trends, patterns, and insights that drive business decisions.
  • Develop and maintain data models and algorithms to support our clients' needs.
  • Create clear and compelling visualizations and reports to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to understand business objectives and translate them into data-driven strategies.
  • Stay up-to-date with the latest industry trends and technologies in data analysis.
  • Mentor and train junior team members to ensure the continued success and growth of the team.
  • Participate in brainstorming sessions to develop innovative solutions to complex business challenges.
Qualifications
  • Bachelor's degree in data analysis, statistics, or a related field.
  • Proficiency in tools like SQL, Excel, and Tableau is essential.
  • Experience with Python or R is a plus.
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
  • 2+ years of experience in data analysis, preferably in the financial services industry.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Strong understanding of statistical concepts and methodologies.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Excellent communication and interpersonal skills to collaborate effectively with team members and stakeholders.
  • Ability to work independently and manage multiple projects simultaneously.
  • Strong problem-solving skills and a detail-oriented approach to work.
Benefits
  • full health insurance coverage
  • a retirement plan with employer matching contributions
  • opportunities for professional development, such as tuition reimbursement or access to online courses
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