Data Science Analyst

Concord; United States; Hybrid; USD 80,000 - 110,000; Full time

Job summary

An established industry player is on the lookout for a Full Stack Analyst who can bridge the gap between data science and business intelligence. This role involves architecting and maintaining analytics pipelines while collaborating with clients to deliver impactful insights. You will leverage your expertise in SQL and machine learning to develop innovative analytics solutions, ensuring that data-driven strategies lead to actionable outcomes. If you have a passion for data and a knack for storytelling through analytics, this opportunity is perfect for you. Join this dynamic team and help revolutionize how businesses utilize data to enhance their operations.

Qualifications

• 2+ years of experience in digital analytics or machine learning.
• Strong knowledge of SQL and data manipulation tools.
• Ability to interpret data into actionable strategies.

Responsibilities

• Design and implement data & analytics solutions with clients.
• Provide rigorous analysis based on client use cases.
• Create dashboards using event-driven data in Tableau.

Skills

Digital Analytics

Machine Learning

SQL

Data Storytelling

Interpersonal Communication

Organizational Skills

Education

BS/BA in Statistics

BS/BA in Computer Science

BS/BA in Marketing

BS/BA in Psychology

BS/BA in UX

BS/BA in Business

Tools

Tableau

Amazon Quicksight

Qliksense

Looker

GA4

BigQuery

Databricks

Snowflake

AWS

Azure

Google Cloud Platform

Job description

This range is provided by Concord. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $110,000.00/yr

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, enhance 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.

What You Will Be Doing

• 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.

What We Are Looking For

• 2+ years of digital analytics or machine learning experience.
• Strong knowledge of SQL.
• Knowledge of data analysis and storytelling: Tableau, Amazon Quicksight, Qliksense, Looker, GA4, or BigQuery; Python experience (including Spark/PySpark) is a plus.
• Experience with platforms such as Databricks, Snowflake, or other Warehousing and Analytics platforms preferred.
• AWS, Azure, Google Cloud Platform, or other cloud provider experience preferred.
• Knowledge of statistical tests, A/B testing, predictive analytics, or Machine Learning a plus
• Strong interpersonal, written, and verbal communication skills.
• Exceptionally organized with the ability to multi-task on multiple projects in a fast-paced environment, while maintaining attention to detail and flawless customer-centric focus.
• BS/BA in Statistics, Computer Science, Marketing, Psychology, UX, or Business or related fields.
• A love for data, and sound belief in its possibilities.

Additional Information

• Employment type: Full-time role.
• Location: Prefer candidates located in Kansas City. Occasionally visiting the offices at Minneapolis or Kansas City might be required.
• If remote, preferred locations include: Denver, Minneapolis, Richmond or Mountain View
• Requirements: must be authorized to work legally in the US without sponsorship, now or in the future.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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