Data Analyst

Sharp Decisions; Jersey City (NJ); Hybrid; USD 95,000 - 130,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Sharp Decisions seeks a mid-level to senior Business Data Analyst to support the Cyber Data Operations team within ISDAD, focusing on GRC programs. The role requires strong data analysis, SQL, Python, and API experience to cleanse, validate, and integrate data across upstream sources.

You will collaborate with business stakeholders and data developers to understand source data, validate quality, and support loading into the CyberDW for GRC initiatives, with a hybrid work arrangement in Jersey

Qualifications

• 8+ years in Business Analysis or Data Analysis.
• Strong SQL, relational databases, and data analysis experience.
• Python for data analysis, manipulation, or automation.
• Exposure to APIs and data exchange between systems.
• Experience translating business requirements into technical specs.
• Attention to detail and ability to interpret data in a business context.
• Excellent communication and cross-functional collaboration

Responsibilities

• Gather, organize, analyze, and validate data from internal systems, spreadsheets, reports, and upstream source systems.
• Analyze data trends, patterns, and business performance using Excel and BI tools.
• Collaborate with stakeholders to understand business needs, data sources, and data requirements.
• Develop and document technical requirements for data analysis, data integration, and data quality initiatives.
• Perform data cleansing, scrubbing, reconciliation, and validation to ensure data accuracy and consistency.
• Collaborate with data development teams to support ingestion of source data into CyberDW for GRC programs.
• Use SQL and relational databases to query, analyze, and validate datasets.
• Leverage Python for data analysis, processing, and automation where applicable.
• Work with cross-functional teams to investigate data discrepancies and resolve data quality issues.
• Communicate analytical findings and data-related insights clearly to technical and business stakeholders.

Skills

SQL

Python

APIs

Data analysis

Data cleansing

Data validation

Excel

BI tools

Tools

Tableau

Power BI

Google Data Studio

Job description

We are seeking a mid-level to senior Business Data Analyst to support the Cyber Data Operations team within ISDAD, working on projects for Governance, Risk, and Compliance (GRC) programs. The ideal candidate will have strong data analysis skills, hands-on experience with SQL, Python, and APIs, and the ability to analyze data sources, develop technical requirements, and perform data cleansing and validation across upstream source systems.

The candidate will collaborate with business stakeholders and data development teams to understand source data, validate data quality, and support the loading of data into the Cyber Data Warehouse (CyberDW) for GRC programs.

Responsibilities

• Gather, organize, analyze, and validate data from internal systems, spreadsheets, reports, and upstream source systems.
• Analyze data trends, patterns, and business performance using Excel and business intelligence tools.
• Work with stakeholders to understand business needs, data sources, and data requirements.
• Develop and document technical requirements for data analysis, data integration, and data quality initiatives.
• Perform data cleansing, scrubbing, reconciliation, and validation to ensure data accuracy and consistency.
• Collaborate with data development teams to understand and support the ingestion of source data into CyberDW for GRC programs.
• Use SQL and relational databases to query, analyze, and validate datasets.
• Leverage Python for data analysis, data processing, and automation where applicable.
• Work with cross-functional teams to investigate data discrepancies and resolve data quality issues.
• Communicate analytical findings and data-related insights clearly to technical and business stakeholders.

Required Qualifications

• 8+ years of experience in Business Analysis, Data Analysis, or a related field.
• Strong experience with SQL, relational databases, and data analysis.
• Experience with Python for data analysis, data manipulation, or automation.
• Exposure to APIs and an understanding of how data is exchanged between systems.
• Experience gathering business requirements and translating them into technical requirements.
• Strong attention to detail and the ability to interpret data in a business context.
• Excellent communication skills and the ability to collaborate with cross-functional teams.
• Ability to work in a hybrid environment in Jersey City, NJ.
• Must be able to work on a W2 basis. C2C and third-party submissions are not accepted.

Preferred Qualifications

• Experience with data visualization and BI tools such as Tableau, Power BI, or Google Data Studio.
• Knowledge of Governance, Risk, and Compliance (GRC) data environments.
• Understanding of controls testing and control validation processes.
• Experience supporting the automation of controls testing and related compliance initiatives.
• Experience with data quality management, data governance, and data validation processes.
• Familiarity with data warehouse environments and upstream source system integrations.
• Experience working with cybersecurity data or Cyber Data Operations teams is a plus.