Business Analyst

Job Description Skill:
Junior Data Project Manager / Business Analyst Must Have Technical/Functional Skills

• Strong knowledge of SQL (Mandatory).
• Basic understanding of data analysis and data validation concepts.
• Familiarity with ETL/data pipelines (basic level).
• Good analytical and problem‑solving skills.
• Strong communication and documentation skills.
• Ability to work collaboratively in a team environment.

• Exposure to Python or SAS.
• Basic understanding of Banking and Financial domain.
• Familiarity with Agile/Scrum methodology.
• Experience with data visualization tools (Power BI, Tableau)

• Basic understanding of Banking and Financial Services.
• Interest in financial data, reporting, and systems.
• Willingness to learn and grow.
• Strong attention to detail.
• Organizational and time‑management skills.
• Effective communication.
• Problem‑solving mindset.

• Gather, document, and analyze business and data requirements.
• Assist in translating business needs into functional and data specifications.
• Support gap analysis and requirement validation with stakeholders.
• Participate in requirement workshops, sprint planning, and grooming sessions.
• Data Analysis.
• Write and execute SQL queries to analyze and validate data.
• Perform basic data profiling and validation to ensure accuracy and completeness.
• Support reporting and dashboards by ensuring data correctness.
• Assist in data reconciliation and issue identification.

• Support the Data PM in planning, tracking, and reporting project progress.
• Help coordinate with cross‑functional teams (Dev, QA, Data Engineering).
• Maintain project documentation, status reports, and action trackers.
• Track risks, issues, and dependencies and escalate when needed.

• Assist in test case preparation and execution for data validation.
• Validate ETL processes and data pipelines under supervision.
• Help identify and document data defects and inconsistencies.
• Support root cause analysis for data issues.

$90,000-$100,000 a year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Cleveland, OH

TECHNOLOGY

Business Analyst

414860

Python | SQL

BACHELOR OF COMPUTER SCIENCE