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Data Analytics Supervisor Jobs in Portland, OR (NOW HIRING)

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods. Supervised Learning (e.g., regression techniques, regularization techniques, ridge ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods. Supervised Learning (e.g., regression techniques, regularization techniques, ridge ...

Manufacturing Supervisor

Wilsonville, OR

$62K - $85K/yr

Follow established practices and procedures in analyzing situations or data from which answers can ... Supervisory, coaching and people development skills * Ability to facilitate and influence cross ...

Manufacturing Supervisor

Wilsonville, OR

$62K - $85K/yr

Follow established practices and procedures in analyzing situations or data from which answers can ... Supervisory, coaching and people development skills * Ability to facilitate and influence cross ...

Manufacturing Supervisor

Wilsonville, OR · On-site

$62K - $85K/yr

Follow established practices and procedures in analyzing situations or data from which answers can ... Supervisory, coaching and people development skills * Ability to facilitate and influence cross ...

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Showing results 1-20

Data Analytics Supervisor information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do data analytics supervisor jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data analytics supervisor in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.
What are popular job titles related to Data Analytics Supervisor jobs in Portland, OR? For Data Analytics Supervisor jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Analytics Supervisor jobs in Portland, OR look for? The top searched job categories for Data Analytics Supervisor jobs in Portland, OR are:

Data Analyst - Non-Profit Social Services

TRANSITION PROJECTS INC

Portland, OR • On-site

$72K - $83K/yr

Full-time

Re-posted 28 days ago


Transition Projects rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

POSITION DESCRIPTION

Position:                   Data Analyst

Supervisor:               Director of Public Policy and Funding

Location:                   Bud Clark Commons; 665 NW Hoyt St

Hours:                        Monday – Friday 

Starting Salary:         $72,800-$83,200 DOE

Classification:           Exempt, Unrepresented, Full-Time, Benefits Eligible

GENERAL RESPONSIBILITIES

The Data Analyst is responsible for coordinating the workload of the Information Services team, serving as a project lead, serving as the reporting and data liaison to partner agencies, triaging help desk items, and is responsible for coordinating the training of IS team members. The Data Analyst is responsible for developing key performance indicators, overseeing data collection, and report preparation and submission. Provide accurate and on-time reporting for internal programs and external reporting to funders. Provide technical support to staff using data systems. Ensure data integrity, run routine reports and create new reports as needs arise. Focus of duties may be adjusted at any time.
 

Data Reporting and Analysis Responsibilities:

  1. Manage the data team.
  2. Oversee staff training on Homeless Management Information Systems (HMIS) database.
  3. Submit timely reports to external funders.
  4. Serve as the data and reporting liaison to partner agencies.
  5. Create reports for internal teams.
  6. Establish key performance indicators.
  7. Structure large data sets to find usable information.
  8. Run and distribute reports..
  9. Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. 
  10. Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  11. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.

PERFORMANCE REQUIREMENTS

Each Transition Projects employee must:

  1. Acquire First Aid/CPR/AED certification within 30 days of hire and be retested biannually thereafter throughout employment.
  2. Complete Bloodborne Pathogens and Narcan Training within 30 days of hire and be retested annually thereafter throughout employment.
  3. Demonstrate reliability by being present for work as scheduled, arriving and leaving on time and taking breaks in expected time frames.
  4. Interact effectively with persons of diverse ethnic backgrounds, religious views, cultural backgrounds, and sexual orientations and treat each individual with respect and dignity.
  5. Attend agency and program staff meetings.

PHYSICAL/MENTAL REQUIREMENTS

The physical and mental demands described here are representative of those that must be met by an employee, with or without accommodation, to successfully perform the essential functions of this job.

  1. Hearing and vision adequate for interaction with participants, interaction with staff and interaction with the general public.
  2. Hearing adequate for telephone work. Vision adequate for close work.
  3. Hand and finger dexterity adequate to operate standard office equipment.
  4. Ability to walk, bend, stand, sit, reach, stoop, pull, squat, and climb stairs and ladders.
  5. Sitting at a desk completing paperwork and working on a computer for lengthy periods.
  6. Mobility to allow responsive traveling to participant residences located around the metro area.
  7. Ability to perform CPR and other emergency life-saving care with the assistance of teammates until emergency responders arrive.
  8. Ability to lift up to 50 pounds

MINIMUM QUALIFICATIONS

The right individual for this position has a passion for helping others, is nonjudgmental, and is able to deal with difficult situations in positive and constructive ways.

  1. Bachelor's degree in Accounting, Computer Science, Computer Information Systems, Information Technology, Data Analytics, Information Systems, or a related field, and at least two (2) years of experience in data analysis, reporting, business intelligence, data management, or a related field; OR three (3) to five (5) years of progressively responsible experience in a similar role.
  2. 2+ years experience with programming languages such as R, Python, SQL, or Oracle preferred.
  3. Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases
  4. Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.
  5. Training or experience in data analysis and data-based report generation.
  6. Experience cleaning and preparing data.
  7. Experience developing reports and dashboards.
  8. Demonstrated ability to work independently. Ability to appropriately assess a situation and take corrective action as necessary.
  9. Demonstrated ability to work as part of a team in the delivery of services to clients.
  10. Excellent computer skills. Demonstrated ability to use word processing, database, spreadsheet, email, and Internet programs, as well as familiarity with various reporting tools and technologies (SQL and advanced Excel skills highly desirable).
  11. Excellent oral and written communication skills.
  12. Good interpersonal relationship skills.
  13. Basic understanding of the issues surrounding homelessness, chemical dependency, mental health, domestic violence and sexual assault.
  14. Experience working with homeless/low-income population preferred but not required.

 Transition Projects, Inc. is an equal opportunity employer and does not discriminate on the basis of race, color, religion, age, gender, sexual orientation, ancestry, national origin, citizenship, marital status, familial status, physical or mental disability, veteran status, genetic information, source of income, union participation or activities, or any other status legally protected by applicable local, state or federal law.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.


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