Data Science Analyst

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.