Data Science Analyst at Concord USA
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Jul, 25

Salary

80000.0

Posted On

01 May, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT US

Concord isn’t your typical consulting firm; we’re an execution-focused company passionate about delivering results. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize product offerings through seamless integration, optimization, and activation of technology and data.
Our services and solutions include Data and Analytics (Snowflake, Databricks, Martech, Analytics), Digital Experience (Salesforce, Headless Commerce, UI/UX), and Engineering and Application Services (Application Modernization, Greenfield Apps, Portal Buildout, etc.).
We are seeking a Full Stack Analyst who can bring together Data Science, Business Intelligence, Experimentation, and Marketing Analytics best practices to support our clients. This role requires a person who can architect, develop, and maintain analytics pipelines while collaborating effectively with clients and Concord teams. Expertise in data manipulation, machine learning, and data science techniques combined with strong organizational skill are a must for this role.

Responsibilities
  • Collaboratively design and implement data & analytics solutions with clients, including initial design through final delivery.
  • Provide an appropriately rigorous analysis to the client depending on the use case.
  • Interpret data in a way that leads to actionable strategies.
  • Leverage data manipulation tools such as SQL, Python, R, or other tools to create and capture the appropriate analysis.
  • Leverage machine supervised and unsupervised learning techniques as appropriate to gather answers for the client.
  • Create and evaluate Large Language Model (LLM) prompts and responses for use in data products.
  • Utilize event-driven data to create dashboards in tools such as Tableau, emphasizing core KPIs.
  • Advise on the most fitting type of analysis or data product to address business questions.
  • Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate.
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