Data Analyst Senior

2 weeks ago


McLean, United States Zillion Technologies Inc Full time

Job Title: Data Analyst Senior

Location: Hybrid - Onsite in McLean Tuesday through Thursday.

Must Haves: Must have 3+ years of hands on experience with data transformation and reconciliation. Must be proficient with Excel. Must have advanced querying experience and have worked with SQL. They should have experience in the finance industry (accounting) - Previous fintech would be ideal. should have experience with general ledgers/sub ledgers. Should have experience using python for analysis.

Role & Responsibilities:

Collect and write detailed data transformation and financial process requirements
Create and take responsibility for project deliverables
Create and maintain technical, process and data-related documentation
Create, analyze, execute and enhance complex Excel-based and Python-based processes, data controls and data reconciliations
Support acceptance testing; create and execute test cases; analyze and reconcile complex test results using Excel and Python
Improve and automate validations and input preparation processes
Maintain, update and track development features and stories in JIRA
Troubleshoot, track and resolve project issues, project dependencies and configuration changes
Lead the analysis, requirements and testing of financial reports using advanced Excel and custom Python code
Perform complex data and reports analysis involving financial, forecasting and risk data
Asses impacts from data sources and product changes to systems and processes
Create engaging and detailed materials including user guides, specification documents, release notes and testing results
Support a variety of project management activities, including control requirements and execution, issue troubleshooting and analysis, data conversion and cataloging, and user training.

Qualifications:

Degree in accounting, quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 1-3 years of relevant work experience.
Work experience and proficiency in programming and/or data mining languages such as SQL, Python or SAS
Experience working with large data sets and relational databases
Outstanding quantitative, analytical, and problem-solving skills
Excellent presentation, communication and writing skills
Ability to use SQL to query and display large data sets while maximizing the performance of workbooks
Proven experience writing SQL to query complex data structures and working with analytics
Expertise with Python coding
Expertise with financial statements and general ledger/subledger data is strongly preferred
Ability to translate complex business requirements into technical specifications
Excellent competency with advanced Excel is required
Outstanding attention to detail and accuracy
Knowledge of application development following Agile methodology
Experience working with different databases and understanding of data and financial reporting concepts
Experience with implementing or modifying financial systems or applications, preferably related to accounting functions
Strong data and financial analytical skills; Ability to quickly understand complex financial concepts; Mortgage industry experience preferred.

Key to success in this role:

Ability to juggle and prioritize large number of activities
Proactive problem solver and has the ability to think holistically and creatively
Ability to focus on precision, accuracy, reliability, delivery and schedule
Outstanding ability to leverage data and reporting tools to deliver high-impact solutions
Phenomenal teammate with a positive attitude



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