Data Science Analyst
About The Position
Concord is seeking a Data Science Analyst to bring together 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. It requires expertise in data manipulation, machine learning, and data science techniques, along with strong organizational skills. The analyst will help clients move technology and AI initiatives from concept to implementation and adoption, delivering analysis and data products that address business questions and produce actionable strategies. The position is full-time with Concord. Candidates are preferred in Kansas City, though remote work within the US is available; occasional office visits may be required. Applicants must be authorized to work legally in the US without sponsorship, now or in the future.
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.
- Exceptional organization and ability to multitask across projects in a fast-paced environment while maintaining attention to detail and a customer-centric focus.
- BS/BA in Statistics, Computer Science, Marketing, Psychology, UX, Business, or a related field.
- Must be authorized to work legally in the US without sponsorship, now or in the future.
Nice To Haves
- Python experience, including Spark/PySpark.
- Experience with Databricks, Snowflake, or other data 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 appropriately rigorous analysis based on the client use case.
- Interpret data to develop actionable strategies.
- Use data manipulation tools such as SQL, Python, R, or other tools to create 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 suitable types of analysis or data products to address business questions.
- Evaluate emerging technologies and provide perspectives and thought leadership on adoption where appropriate.
Benefits
- Health, dental, and vision insurance.
- Employer contributions to health savings accounts (HSA).
- Flexible spending accounts (FSA) for healthcare and dependent care, plus a $200 Lifestyle Spending Account (LSA).
- 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 opportunities and skill development.
- Team-building events and company-sponsored activities.
- Paid time off and company holidays for W2 salary employees.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
