neteffects
Overview
Data Analyst — $55.00-$60.00/hr — Onsite: Beaverton, OR — 18 month assignment About the Role
This role is ideal for a highly technical, self-motivated analyst with a passion for storytelling through data. You’ll work closely with product engineering and manufacturing stakeholders to design and implement scalable data workflows, build intuitive dashboards, and ensure timely access to metrics that drive strategic decisions. You’ll be responsible for the full lifecycle of data reporting from ingestion and enrichment to visualization and stakeholder engagement with a focus on supporting product engineering teams and supply chain operations. Key Responsibilities
Lead the development of
end-to-end reporting solutions
for the Men’s & Women’s World Cup initiative Design and implement
data ingestion processes , including user-managed files (e.g., Excel) Enrich raw data by applying
business logic and transformation rules Build and maintain
ETL pipelines
to support reporting and analytics needs Collaborate with
material supply engineering teams
to gather and refine business requirements Develop
front-end dashboards
using tools like Power BI or Tableau Translate complex technical concepts into clear, actionable insights for
executive stakeholders Ensure data availability and accessibility for
cross-functional teams Required Qualifications
Minimum
8 years
of experience in data analytics or data engineering Proficiency in
SQL
and
Python Hands-on experience with
Power BI
or
Tableau Familiarity with
Data Lakehouse platforms
(e.g., Databricks, Snowflake) Experience in
manufacturing or supply chain environments Strong understanding of
Agile/Scrum methodologies Exceptional communication and stakeholder management skills Proven ability to work independently and drive projects forward Preferred Qualifications
Experience with
cloud platforms
(Azure, AWS, GCP) Familiarity with
CI/CD pipelines
for data workflows Background in
sports analytics
or
event-based reporting Experience working in
global, cross-functional teams What We’re Looking For
Strong problem-solving mindset and attention to detail Ability to thrive in fast-paced, ambiguous environments Collaborative and proactive approach to stakeholder engagement Passion for data storytelling and driving business impact Why Join Us?
Influence
high-visibility initiatives
with global impact Collaborate with
senior leadership
and diverse teams Opportunity to grow into a
strategic data leadership role Be part of a team that shapes the future of
sports and innovation Additional Details
- Bachelor’s degree preferred for this role - 8-9 years’ experience required in a data analyst role Top skills
SQL Python Backend development experience (aka data engineering) Experience with visualization tools (Tableau, Power BI) Data product lifecycle knowledge Desired soft skills
Problem solving mindset Professionalism Business acumen Effective communication; ability to translate technical information for business audiences Benefits
Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Data Analyst — $55.00-$60.00/hr — Onsite: Beaverton, OR — 18 month assignment About the Role
This role is ideal for a highly technical, self-motivated analyst with a passion for storytelling through data. You’ll work closely with product engineering and manufacturing stakeholders to design and implement scalable data workflows, build intuitive dashboards, and ensure timely access to metrics that drive strategic decisions. You’ll be responsible for the full lifecycle of data reporting from ingestion and enrichment to visualization and stakeholder engagement with a focus on supporting product engineering teams and supply chain operations. Key Responsibilities
Lead the development of
end-to-end reporting solutions
for the Men’s & Women’s World Cup initiative Design and implement
data ingestion processes , including user-managed files (e.g., Excel) Enrich raw data by applying
business logic and transformation rules Build and maintain
ETL pipelines
to support reporting and analytics needs Collaborate with
material supply engineering teams
to gather and refine business requirements Develop
front-end dashboards
using tools like Power BI or Tableau Translate complex technical concepts into clear, actionable insights for
executive stakeholders Ensure data availability and accessibility for
cross-functional teams Required Qualifications
Minimum
8 years
of experience in data analytics or data engineering Proficiency in
SQL
and
Python Hands-on experience with
Power BI
or
Tableau Familiarity with
Data Lakehouse platforms
(e.g., Databricks, Snowflake) Experience in
manufacturing or supply chain environments Strong understanding of
Agile/Scrum methodologies Exceptional communication and stakeholder management skills Proven ability to work independently and drive projects forward Preferred Qualifications
Experience with
cloud platforms
(Azure, AWS, GCP) Familiarity with
CI/CD pipelines
for data workflows Background in
sports analytics
or
event-based reporting Experience working in
global, cross-functional teams What We’re Looking For
Strong problem-solving mindset and attention to detail Ability to thrive in fast-paced, ambiguous environments Collaborative and proactive approach to stakeholder engagement Passion for data storytelling and driving business impact Why Join Us?
Influence
high-visibility initiatives
with global impact Collaborate with
senior leadership
and diverse teams Opportunity to grow into a
strategic data leadership role Be part of a team that shapes the future of
sports and innovation Additional Details
- Bachelor’s degree preferred for this role - 8-9 years’ experience required in a data analyst role Top skills
SQL Python Backend development experience (aka data engineering) Experience with visualization tools (Tableau, Power BI) Data product lifecycle knowledge Desired soft skills
Problem solving mindset Professionalism Business acumen Effective communication; ability to translate technical information for business audiences Benefits
Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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