Sr. Data Business Analyst - 1st

Job Description

Job DescriptionLocation: Cincinnati, OH (Remote)
Employment Type: 1st Shift, Full-time, temp-to-hireJob Brief
Kable Workforce Solutions is hiring a Business Data Analyst (BDA) for our client. This position is responsible for collaborating with stakeholders to gather and translate business requirements into technical specifications for data engineering projects. The role includes performing complex data analysis, developing visualizations, modeling and cleaning data sets, and identifying and resolving data-related issues to improve quality and governance.What’s a Typical Day Like?

• Collaborate with stakeholders to gather and analyze business requirements, translating them into technical specifications for data engineering projects.
• Performs complex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making.
• Models, cleans, and categorizes data sets for effective use in analytics applications.
• Identifies data-related issues, assess their severity, and evaluate their business impact to inform data quality improvement initiatives.
• Implements corrective measures for inaccurate data values and other issues, while addressing their underlying causes.
• Develops data quality guidelines and best practices for end users to reduce the likelihood of future issues.
• Develops and maintains documentation for data flows, data dictionaries, and business processes.
• Ensures data quality, consistency, and compliance with data governance policies.
• Assists in the evaluation and implementation of new data technologies and tools.
• Performs other duties and projects assigned.

What Are the Requirements of the Job?

• Demonstrates knowledge of, adherence to, monitoring and responsibility for compliance with state and federal regulations and laws as they pertain to this position.
• Demonstrate team leadership and staff development skills.
• Demonstrates understanding of business analysis principles, processes, and techniques.
• Ability to create use cases, functional, and technical requirements.
• Familiarity with data Lakehouse concepts and technologies (e.g., Delta Lake, Snowflake).
• Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow).
• Preferred knowledge of machine learning concepts and their applications in business.
• Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis)
• Strong consultative and advisory skills.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Intermediate skills in computer terminal and personal computer operation; Microsoft Office applications including but not limited to: Word, Excel, PowerPoint and Outlook.
• Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders
• Effective organizational and time management skills.
• Ability to make decisions that have moderate impact on the immediate work unit and cross functional departments.
• Ability to organize and prioritize work schedules on a short-term and long-term basis.
• Ability to provide consultation and expert advice to management.
• Ability to make informal and formal presentations, inside and outside the organization; speaking before assigned team or other groups as needed.
• Ability to deal with complex difficult problems involving multiple facets and variables in non-standardized situations.
• Ability to work with little to no supervision while performing duties.
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of five (5) + years of experience in business systems analysis or data analysis roles.
• Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala).
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Proven experience in data quality management and improvement initiatives.
• Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
• Preferred experience with data governance and data quality tools.
• Preferred experience with version control systems (e.g., Git) and CI/CD pipelines.
• Ability to work in fast-paced environment.
• Ability to move or lift up to 50+ lbs.
• Ability to reach, grasp, hold, push, pull, bend, twist, squat, climb, kneel.
• Ability to utilize hand/eye coordination.
• Capability to stand for prolonged periods of time
• Communication skills.

Why Choose Kable Workforce Solutions?

• Weekly Pay
• Exclusive Access Opportunities to V.I.P. Vault
• Day 1 Benefits
• Various Bonus Opportunities
• Eligibility for Employee of the Month Rewards

How to Apply And Next Steps?
Please submit your resume in our application by clicking “apply now.” We look forward to reviewing your application and you will hear from us within 1 business day.About Kable Workforce Solutions
For over 50 years, Kable Workforce Solutionshas been connecting skilled professionals with leading employers across the region. We’re dedicated to helping people build lasting careers and helping companies grow through quality, integrity, and partnership.We believe in people first — empowering individuals to succeed and celebrating the work that drives our communities forward.Kable Workforce Solutionsis proud to be an equal opportunity employer. We welcome and value diversity and are committed to creating an inclusive workplace where everyone can thrive. Read our full diversity statement here.This job description is not intended to be all-inclusive, and the employee will also perform other reasonably related business duties as assigned by the immediate supervisor and other management as required. #MBS4901