Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in San Jose, CA (Hybrid) for a 9-month contract at a pay rate of "Unknown." Key skills include extensive data analysis, SQL, GCP BQ, PySpark, and payment domain knowledge. A BA or BS degree is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
June 3, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
πŸ“„ - Contract type
1099 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
San Jose, CA
-
🧠 - Skills detailed
#UAT (User Acceptance Testing) #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #JSON (JavaScript Object Notation) #Data Analysis #SQL (Structured Query Language) #BI (Business Intelligence) #Compliance #Datasets #Data Profiling #GCP (Google Cloud Platform) #Data Quality #PySpark
Role description
Role: Data Analyst IV Location: San Jose, CA (Hybrid) Duration: 9 Months Contract We are seeking a highly skilled and detail-oriented Senior Data Analyst to join our team. This role is responsible for conducting advanced data analysis to support both ongoing and ad-hoc business needs, driving data-informed decision-making across the organization. The ideal candidate will develop and maintain analytical tools, methodologies, and reporting systems, while also identifying new data sources and contributing to process and product improvements. A strong ability to interpret complex datasets, communicate actionable insights clearly, and collaborate effectively with both technical teams and business stakeholders is essential. This position plays a key role in enhancing data quality, optimizing analytical processes, and delivering impactful data solutions that align with organizational goals. Responsibilities: β€’ Performs complex data analysis in support of ad-hoc and standing management or customer requests. β€’ Develops programs, methodologies, and files for analyzing and presenting data. β€’ Uses and supports database applications and analytical tools. Evaluates data quality, applications, and functions. β€’ Produces output and maintains operation. β€’ Research new data sources and analytical tools. β€’ Contributes to new product development and improvement in product delivery and presentation. β€’ Develops awareness of and familiarity with issues and events affecting organization, department, and/or customer. β€’ Uses timely and appropriate participation of users/customers in data collection and query systems.: β€’ Provides accurate and appropriate interpretation of data, applying knowledge to evaluation, analysis, and interpretation of data. β€’ Develops appropriate methodologies for collecting, analyzing, and presenting data products. β€’ Develops useful and insightful information from a variety of data sources. β€’ Works with management and/or customers to develop and understand product specifications. β€’ Communicates regularly and effectively with team members and management and communicates results effectively to management and/or customers. β€’ Delivers data products in report/presentation format, or verbally, to management and/or customer specifications and timelines. β€’ Points out system or process problems when noticed and engages the team in problem solving. β€’ Facilitates satisfactory communication and resolution of problems. Team: Data Platforms & Services Reason for Posting: Need to augment resources for Realtime data modernization and regulatory compliance reporting Chance for Extension/Conversion: Currently, the position is for 6 - 9 months with potential to extend Daily Responsibilities As a Data analyst, you’ll engage in all facets of requirement analysis, data profiling, business transformations, source-target mapping, UAT testing & data quality. Ability to understand business deliverables, impact assessment and resolving UAT/Production issues. Top 4 must-have skills β€’ Extensive data analysis & SQL skills β€’ GCP BQ, PySpark, BI Reporting β€’ No SQL, JSON Struct processing β€’ Processing large datasets and Payment domain knowledge Degrees or Certifications: basic BA or BS; not particular certification required