Technical Data Analyst
Technical Data Analyst
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Job Description
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Exp: 8 Years
Requirements
We are seeking a seasoned Technical Data Analyst to join our team on site in McLean VA. In this role you will collaborate with Agile delivery teams to mine analyze and translate complex data into actionable business insights that inform decision making. You ll work hands on with SQL and Python author user stories in Jira and interface directly with stakeholders to ensure data integrity completeness and timeliness.
Key Responsibilities
Data Extraction & Transformation
Author optimize and maintain complex SQL queries views and stored procedures against large relational databases.
Develop and execute Python scripts via the command line to automate data ingestion transformation and validation tasks.
Navigate log directories parse and analyze application logs to troubleshoot data pipeline issues.
Agile Delivery & Documentation
Partner with Product Owners and Scrum Masters to elicit business and technical requirements.
Create and manage detailed user stories acceptance criteria and technical tasks in Jira.
Participate in sprint ceremonies (planning stand ups retrospectives demos) and adhere to team Definition of Done.
Data Analysis & Insights
Perform exploratory data analysis across disparate data sources structured semi structured and unstructured to identify trends anomalies and data quality issues.
Build dashboards reports and visualizations that clearly communicate key performance indicators and business metrics.
Present findings and recommendations to both technical and non technical stakeholders tailoring communications to the audience.
Business Translation & Support
Translate high level business requirements into detailed technical specifications and data rules.
Serve as a liaison between business SMEs and engineering teams to ensure alignment on data definitions data models and deliverables.
Adapt quickly to evolving priorities and pivot analysis plans to meet tight deadlines and changing business needs.
Quality & Continuous Improvement
Proactively identify opportunities to improve data workflows reduce manual effort and enhance data quality.
Implement best practices for version control code reviews and documentation.
Mentor junior data analysts on SQL Python scripting and Agile processes.
Required Qualifications
Experience:
Minimum 8 years in Data Analytics Data Mining or Data Science roles supporting large scale enterprise environments.
Prior experience with Freddie Mac or similar financial services clients is strongly preferred.
Technical Skills:
SQL: Expert level proficiency writing tuning and debugging queries in Oracle SQL Server or similar RDBMS.
Python: Comfortable executing scripts from the command line; experience with core libraries (pandas NumPy) a plus.
Agile/Jira: Proven track record working in Scrum/Agile teams; capable of drafting clear user stories and technical tasks.
Analytical & Problem Solving:
Exceptional ability to dissect multifaceted data sets distill insights and formulate data driven recommendations.
Demonstrated skill in translating non technical business objectives into technical requirements and data rules.
Communication & Collaboration:
Strong verbal and written communication skills; adept at presenting complex information to diverse audiences.
Team player with a flexible mindset able to reprioritize tasks rapidly in response to shifting business drivers.
Location & Availability:
Must be local to the VA DC or MD area and available to work 100 on site in McLean VA.
Any valid U.S. work visa status is acceptable.
Nice to Have
Experience with data visualization tools (e.g. Tableau Power BI Looker).
Familiarity with version control systems (Git) and CI/CD pipelines (e.g. Jenkins).
Background in financial products mortgage servicing or credit risk analytics.
Basic understanding of cloud based data platforms (AWS Redshift Azure Synapse).
Benefits
8+ years in a Data Analytics, Data Mining, Data Science role Proficiency in SQL. Must have experience working with Agile teams and able to create business and technical user stories in Jira. Prefer resources who have Freddie Mac/Client experience. Familiarity with working on the command line, able to execute python scrips, navigate to log directories to analyse logs. Strong analytical skills including the ability to quickly understand a variety of disparate data sources, distill complex data into analysis that drive decisions, and apply business knowledge to derive valuable insights Ability to understand and translate non-technical business requirements into technical rules or methodologies Ability to quickly learn business operations and processes Strong communication skills and ability to articulate complex material to a diverse audience Ability to be flexible and adjust plans quickly to meet changing business needs Experience coordinating multiple tasks within aggressive time frames
Education
B.E/
Employment Type
Full Time
