Data Analyst

Harbor Atlantic Partners; Portland (OR); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Tuition reimbursement

Professional development/conferences

Job summary

Harbor Atlantic Partners in Portland, OR, is seeking a Data Analyst to support investment decisions through data analysis, reporting, and modeling. You will handle large datasets, build visualizations, and collaborate with analysts and stakeholders to ensure data integrity and actionable insights.

The role emphasizes developing data models, maintaining data quality, and communicating findings clearly, with negotiable salary and comprehensive benefits in a Portland office setting.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data analysis, preferably in real estate or investment.
• Proficiency in SQL, Python, and R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Responsibilities

• Collect, process, and analyze data to support investment decisions.
• Create and maintain data visualizations and reports to communicate insights effectively.
• Identify trends and patterns in data to inform strategic planning.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Develop and implement data quality control measures to ensure accurate and reliable data.
• Stay up-to-date with industry trends and best practices in data analysis.

Skills

Data analysis

Communication

Problem solving

Education

Bachelor's degree in Data Science / Statistics / Mathematics

Tools

SQL

Python

R

Tableau

Power BI

Job description

Harbor Atlantic Partners seeks a Data Analyst in Portland, OR, for a full-time position. As a Data Analyst, you'll support investment decisions with data analysis. The role offers negotiable salary and benefits.

You'll analyze data to identify trends and insights, create reports and visualizations, and assist in the development of data models. This involves examining large datasets to uncover patterns and make data-driven decisions. You'll use various tools and programming languages to clean, transform, and visualize the data, making it easier to understand and interpret. You'll also collaborate with team members to ensure data accuracy and reliability. This includes verifying data sources, checking for errors, and maintaining data integrity. You'll work closely with other data analysts, data scientists, and business stakeholders to ensure that the data is used effectively and efficiently.

You'll work in an office environment in Portland, OR, as part of a team focused on real estate and infrastructure investments. The firm is committed to delivering value to clients and stakeholders.

The salary is negotiable based on the candidate's experience and qualifications. Benefits include comprehensive health insurance that covers medical, dental, and vision care, as well as a retirement plan with employer matching contributions. Professional development opportunities are also provided, such as tuition reimbursement for further education and access to industry conferences and workshops.

You should have a bachelor's degree in data analysis, statistics, or a related field. Experience with data analysis tools like SQL, Python, or R is required. Knowledge of financial analysis is a plus.

What you will do:

1. Collect, process, and analyze data to support investment decisions.
2. Create and maintain data visualizations and reports to communicate insights effectively.
3. Identify trends and patterns in data to inform strategic planning.
4. Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
5. Develop and implement data quality control measures to ensure accurate and reliable data.
6. Stay up-to-date with industry trends and best practices in data analysis.

What we need:

1. Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
2. 2+ years of experience in data analysis, preferably in the real estate or investment industry.
3. Proficiency in SQL, Python, and R for data manipulation and analysis.
4. Experience with data visualization tools such as Tableau or Power BI.
5. Strong problem-solving skills and attention to detail.
6. Excellent communication and collaboration skills.