Data Science Analyst

Concord USA•Multiple Cities, MO

15h•Remote

About The Position

Concord is seeking a Data Science Analyst to combine Data Science, Business Intelligence, Experimentation, and Marketing Analytics practices in support of clients. The role involves architecting, developing, and maintaining analytics pipelines and collaborating with client and Concord teams. The analyst works with clients from initial solution design through delivery, provides analysis suited to each use case, and turns data into actionable strategies. The position also involves advising on suitable analyses and data products, evaluating emerging technologies, and offering perspectives on their adoption. The role is full-time, with candidates preferably located in Kansas City; remote work within the United States is also an option. Occasional office visits may be required.

Requirements

1–2 years of digital analytics or machine learning experience.
Strong knowledge of SQL.
Knowledge of data analysis and storytelling, using tools or platforms such as Tableau, Amazon QuickSight, Qlik Sense, Looker, GA4, or BigQuery.
Strong interpersonal, written, and verbal communication skills.
Strong organizational skills and the ability to manage multiple projects in a fast-paced environment while maintaining attention to detail and a customer-centric focus.
Bachelor of Science or Bachelor of Arts in Statistics, Computer Science, Marketing, Psychology, UX, Business, or a related field.
Must be authorized to work legally in the United States without sponsorship, now or in the future.

Nice To Haves

Python experience, including Spark/PySpark.
Experience with Databricks, Snowflake, or other warehousing and analytics platforms.
Experience with AWS, Azure, Google Cloud Platform, or another cloud provider.
Knowledge of statistical tests, A/B testing, predictive analytics, or machine learning.
A strong interest in data and belief in its possibilities.

Responsibilities

Collaboratively design and implement data and analytics solutions with clients, from initial design through final delivery.
Provide analysis with an appropriate level of rigor for each client use case.
Interpret data to develop actionable strategies.
Use data manipulation tools such as SQL, Python, or R to conduct and capture analyses.
Apply supervised and unsupervised machine learning techniques as appropriate to answer client questions.
Create and evaluate Large Language Model (LLM) prompts and responses for use in data products.
Use event-driven data to create dashboards in tools such as Tableau, emphasizing core KPIs.
Advise on the most appropriate type of analysis or data product to address business questions.
Evaluate emerging technologies and provide perspective on adoption where appropriate.

Benefits

Health insurance
Dental insurance
Vision insurance
Employer contributions to Health Savings Accounts (HSA)
Flexible Spending Accounts (FSA) for healthcare and dependent care expenses
$200 Lifestyle Spending Account (LSA)
Fully employer-paid short- and long-term disability insurance
Employer-provided life and AD&D insurance, with options for additional voluntary coverage
Employee Assistance Program (EAP)
Career growth and skill development opportunities
Team-building events and company-sponsored activities
Paid time off and paid company holidays for W2 salary employees