Back to jobs

Data Science Analyst

Multiple Cities, MO

Pay
$75,000–85,000/yearAnnual period assumed — pay source
Employment type: Full-time employment with Concord. Salary: $75,000 - $85,000 base. Compensation will be determined based on the candidate’s qualifications and relevant experience. Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team.
Read the full posting
Work setting
Remote stated — work setting source
Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team. Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future.
Read the full posting
Employment
Full-time — employment source
Additional Information Employment type: Full-time employment with Concord. Salary: $75,000 - $85,000 base. Compensation will be determined based on the candidate’s qualifications and relevant experience.
Read the full posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future.
Read the full posting
Apply at Concord

What you’ll work on

Full posting
  • Design and implement data and analytics solutions with clients, from design to delivery

  • Interpret data to produce actionable strategies

  • Apply supervised and unsupervised machine learning to answer client questions

  • Build dashboards from event-driven data emphasizing core KPIs

  • Create and evaluate LLM prompts and responses for data products

From the employer’s posting
Collaboratively design and implement data & analytics solutions with clients, including initial design through final delivery.
Interpret data in a way that leads to actionable strategies.
Leverage machine supervised and unsupervised learning techniques as appropriate to gather answers for the client.
Utilize event-driven data to create dashboards in tools such as Tableau, emphasizing core KPIs.
Create and evaluate Large Language Model (LLM) prompts and responses for use in data products.

What you’ll bring

All qualifications

Core experience

  • 1-2 years of digital analytics or machine learning experience.
  • Knowledge of data analysis and storytelling: Tableau, Amazon Quicksight, Qliksense, Looker, GA4, or BigQuery.

Preferred experience

  • Python experience (including Spark/PySpark) is a plus.
  • Experience with platforms such as Databricks, Snowflake, or other Warehousing and Analytics platforms preferred.
  • Knowledge of statistical tests, A/B testing, predictive analytics, or Machine Learning a plus.
Qualification wording
1-2 years of digital analytics or machine learning experience.
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.
Knowledge of statistical tests, A/B testing, predictive analytics, or Machine Learning a plus.

Tools in this posting

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • Looker
  • Snowflake
  • Spark
  • Tableau
  • PySpark
  • Google Cloud (GCP)
Source — Tool mentions in context
- 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.
- 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.
- 1-2 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.
- 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 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.
- 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.
- 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.

About Concord

We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption.

In the employer’s words · Read in context

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 17, 2026 · 1 day ago
Recorded sightings
2
Last seen by us
Oct 18, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on concordusa.applytojob.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

About Us 

Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption.

Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones.
 

About The Role
We are seeking a Data Science 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 client and Concord teams. Expertise in data manipulation, machine learning, and data science techniques combined with strong organizational skills 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 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

  • 1-2 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.


What We Offer (W2 Benefits)

  • Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being.
  • Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses.
  • Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA).
  • Disability Insurance: Short- and long-term coverage, fully paid by the employer.
  • Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage.
  • Employee Assistance Program (EAP): Access to personal and professional support resources.
  • Career Growth Opportunities: Pathways for advancement and skill development.
  • Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection.
  • Paid Time Off and Holidays (Only W2 Salary*): PTO policy and paid company holidays.


Additional Information 

  • Employment type: Full-time employment with Concord.
  • Salary: $75,000 - $85,000 base. Compensation will be determined based on the candidate’s qualifications and relevant experience.
  • Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team.
  • Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required.
  • Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future.

***

Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Employment type: Full-time employment with Concord. Salary: $75,000 - $85,000 base. Compensation will be determined based on the candidate’s qualifications and relevant experience. Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team.
Location & working pattern

Multiple Cities, MO

- Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team. - Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. - Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future.
Work authorization
- Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. - Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future. ***

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.