Data Analyst
Job Description
Build reliable reporting and analytics that help teams across the Bank measure performance, improve operations, and support decision-making.
Responsibilities
- Design, develop, maintain, and enhance recurring and ad hoc reports, dashboards, data extracts, and analytical deliverables using IBM Cognos, SQL, Python, and other approved reporting tools.
- Collaborate with business units across all departments and divisions to understand reporting needs, translate requirements into data solutions, and provide dependable reporting support.
- Write, optimize, and validate SQL queries to retrieve, join, and analyze data from enterprise data sources, data marts, and operational systems.
- Use Python (as appropriate) to automate data preparation, validation, analysis, reconciliation, and reporting workflows.
- Develop and maintain IBM Cognos reports and packages, ensuring outputs are accurate, efficient, well-documented, and aligned to business requirements.
- Validate reporting outputs for accuracy, completeness, consistency, and reasonableness; identify data quality issues and coordinate with data owners, subject matter experts, and technology partners to resolve concerns.
- Create clear, concise reporting summaries and analyses to help management and business partners spot trends, track key metrics, and make informed decisions.
- Maintain reporting documentation, including report specifications, data definitions, source-to-report mapping, business rules, assumptions, and production schedules.
- Support assigned reporting needs across regulatory, audit, compliance, finance, retail, commercial, operations, risk, and executive functions.
- Perform other duties as assigned.
Requirements
- 2+ years of experience in data reporting, business intelligence, data analysis, financial services, or a related analytical role (preferred).
- Strong analytical, problem-solving, and critical-thinking skills with the ability to translate business questions into accurate reporting solutions.
- Ability to work with general direction from the Data Analyst Manager, prioritize reporting requests, validate results, and escalate issues when appropriate.
- Proficiency with IBM Cognos report development, SQL querying, relational databases, data validation, and Python-based analysis or automation.
- Familiarity with banking data, financial reporting, business intelligence concepts, and data governance practices (preferred).
- Demonstrates informal leadership by promoting reporting standards, sharing data knowledge, and helping business partners use information effectively; no direct staff management responsibilities.
- Ability to communicate technical information clearly to non-technical audiences, including producing explanations, summaries, and recommendations for business users, managers, and senior leaders.
- Maintains confidentiality, integrity, and appropriate use of customer, employee, financial, operational, and proprietary Bank data.
- Builds effective relationships with stakeholders across departments and divisions, including business lines, operations, finance, risk, compliance, technology, and executive support functions.
Education
- Bachelor’s degree required in Data Analytics, Information Systems, Computer Science, Finance, Accounting, Business Administration, or a related field.
- Equivalent combination of education and relevant experience may be considered.
Technology
- IBM Cognos
- SQL
- Python
Work Environment
- Office setting; telework not available.
- Uses standard office equipment (computer, phone, photocopier, filing cabinets, fax machine).
- Work performed via telephone, face-to-face meetings, and computer use.
Physical Demands
- Manual dexterity; ability to lift files and open cabinets.
- Ability to bend, stoop, or stand as necessary.
Travel
- Limited local travel may be required.
Supervisory Responsibility
- No supervisory responsibilities and no staff management.
Essential Functions
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Location: Camp Hill, PA (onsite)