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Über
The compensation package includes a competitive base salary, an aggressive annual bonus, a 401(k) match, and generous PTO. The pay range reflects the lowest to highest compensation we reasonably and in good faith believe we would pay at posting for this role. It may be modified in the future based on education, experience, and business needs.
Key Responsibilities Data Engineering:
Connect to and integrate diverse data sources (APIs, databases)
Design and maintain databases and data models
Build, automate, and optimize ETL pipelines
Perform data cleansing, validation, and quality remediation
Data Analysis & Data Science:
Write complex SQL queries for analysis and reporting
Perform statistical analysis and exploratory data analysis
Develop predictive models and apply machine learning where appropriate
Identify insights beyond standard reporting
Frontend & Visualization:
Design and build dashboards and reports in Power BI (required)
Integrate data into user-friendly applications and APIs
Enable self‑service analytics for business users
Business Partnership
Translate complex technical findings into clear, actionable business insights
Collaborate with stakeholders to gather requirements and validate solutions
Support data‑driven decision making across the organization
Requirements
Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, Data Analytics, or a related field
At least 5+ years of experience as a Data Analyst
Strong experience building dashboards and reports in Power BI (Tableau a plus)
Strong experience with both backend data engineering (ETL, Databases) and analysis (SQL) to frontend visualization (dashboard, UI's)
Proven ability to gather requirements, test solutions, and work with stakeholders
Strong analytical skills with experience translating data into business conclusions
Experience creating process and technical documentation
Excellent written and verbal communication skills
Strong experience with SQL Server databases or similar relational databases
Strong SQL skills required
Strong knowledge of CTEs, window functions, set operations, aggregations, and REGEXP or similar
Ability to read execution plans and optimize query performance
Data profiling and data quality remediation
Understanding of master data management concepts
Familiarity with data lineage and documentation best practices
Snowflake experience is a plus but not required (Streams, Tasks, Dynamic Tables, or similar)
Python 3.8+ (REST APIs, OAuth2, API keys, JWT authentication) is a plus but not required
Benefits
Medical, dental, and vision insurance
HSA and FSA options
401(k) participation
Life, disability, and accidental death insurance for eligible employees
Paid time off for salaried personnel; hourly employees receive paid sick leave only if required by law
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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