Data Analyst

Cobalt Valley Partners; Columbus (OH); In loco; USD 65.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Retirement plans

Professional development opportunities

Descrizione del lavoro

Cobalt Valley Partners in Columbus, OH is seeking a Data Analyst to analyze data, build reports, and visualize insights to support decision-making. The role involves collecting, processing, and interpreting data, with a focus on driving operational efficiency and strategic planning.

You will work with a team of analysts and data scientists in a collaborative office environment that emphasizes learning, knowledge sharing, and professional growth.

Competenze

• Bachelor's degree in Statistics, Mathematics, Computer Science or related field.
• 2+ years of data analysis experience.
• Proficiency in SQL, Python and data visualization tools (Tableau/Power BI).

Mansioni

• Analyze and interpret complex data sets to identify trends and patterns.
• Develop and maintain data models and algorithms to improve analytical processes.
• Create visualizations and reports to communicate insights to stakeholders.
• Collaborate with cross-functional teams to ensure data accuracy and consistency.
• Stay up-to-date with latest data analysis tools and techniques.
• Provide data-driven recommendations to support business objectives.

Conoscenze

Analytical thinking

Problem-solving

Communication

Teamwork

Formazione

Bachelor's degree in Statistics/Mathematics/Computer Science or related field

Strumenti

SQL

Python

R

Tableau

Power BI

Descrizione del lavoro

Cobalt Valley Partners, a prominent financial services firm, is hiring a Data Analyst in Columbus, OH. This full-time position involves analyzing data to support decision-making processes. The salary is negotiable, and the role is open 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 insights. Your work will support strategic planning and operational efficiency.

You will collaborate with a team of financial analysts and data scientists in Columbus, Ohio, where the office environment is professional and collaborative. This setting fosters continuous learning and growth, as team members share knowledge and insights, and encourage each other to develop their skills. The office is equipped with modern technology and resources, enabling the team to work efficiently and effectively. Regular team meetings and brainstorming sessions are held to discuss projects and strategies, ensuring everyone is on the same page. The supportive and inclusive atmosphere encourages open communication and innovation, making it an ideal place to grow both personally and professionally.

The salary is negotiable, reflecting the candidate's experience and qualifications, and the firm offers comprehensive benefits including health insurance, retirement plans, and professional development opportunities. The firm is committed to employee well-being, providing resources and support for physical and mental health, and values career advancement, offering opportunities for growth and promotion within the organization.

You should have a bachelor's degree in data analysis, statistics, or a related field. Experience with SQL, Python, and data visualization tools is required. Strong analytical and problem-solving skills are essential.

What you will do:

1. Analyze and interpret complex data sets to identify trends and patterns.
2. Develop and maintain data models and algorithms to improve our analytical processes.
3. Create visualizations and reports to communicate insights to stakeholders.
4. Collaborate with cross-functional teams to ensure data accuracy and consistency.
5. Stay up-to-date with the latest data analysis tools and techniques.
6. Provide data-driven recommendations to support business objectives.

What we need:

1. Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
2. 2+ years of experience in data analysis or a similar role.
3. Proficiency in SQL, Python, and R.
4. Experience with data visualization tools such as Tableau or Power BI.
5. Strong problem-solving and analytical skills.
6. Excellent communication and teamwork abilities.