Do you love a career where you Experience Grow & Contribute at the same time while earning at least 10% above the market If so we are excited to have bumped onto you.
If you are a Senior Data Analyst Strategic Data Platforms Position looking for excitement challenge and stability in your work then you would be glad to come across this page.
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.
Check if you are up for maximizing your earning/growth potential leveraging our Disruptive Talent Solution.
Role: Senior Data Analyst Strategic Data Platforms
Location: WashingtonDC
Exp: 8 Years
Requirements
As a Senior Data Analyst on the Capco Technology Team you will leverage your expertise in data analytics agile methodologies and engineering best practices to develop and implement robust analytical solutions. You will collaborate closely with business and technology partners to design scalable data environments deliver actionable insights and drive advanced analytics and automation initiatives. Your role is pivotal in building strategic data platforms and ensuring seamless integration between business needs and technical execution.
Key Responsibilities:
Data Platform Development:
- Collaborate with business and technology partners to build scalable and robust strategic data platforms.
- Understand businessspecific data sources elements relationships and their applications.
Data Analysis & Coding:
- Write and optimize SQL queries to handle complex data operations.
- Perform coding tasks using Python including script execution and log analysis.
- Work on UNIX platforms to execute commands and manage datarelated operations.
Advanced Analytics:
- Apply statistical and mathematical techniques for risk analysis using Python R and SQL.
- Partner with clients to implement machine learning natural language processing (NLP) and automation capabilities.
- Conduct exploratory analysis to gain insights into specific business areas.
Process Improvement & Reporting:
- Streamline processes and enhance reporting capabilities through Python and VBA automation.
- Identify opportunities for advanced analytics and implement solutions to enhance decisionmaking.
Collaboration & Communication:
- Work with peers clients and management to resolve issues and deliver project goals.
- Translate highlevel business requirements into detailed endtoend analytical solutions.
- Create and manage technical and business user stories in Agile environments using Jira.
Agile & ClientCentric Development:
- Participate in Agile teams contributing to the creation and refinement of technical and business user stories.
- Engage with clients to understand their needs ensuring solutions align with business objectives.
Requirements:
Technical Skills:
Analytical & Business Skills:
- Strong analytical skills to understand complex data sources derive actionable insights and inform business decisions.
- Ability to translate nontechnical business requirements into technical methodologies.
- Quick adaptability to business operations processes and shifting priorities.
Soft Skills:
- Excellent verbal and written communication skills to convey complex materials to diverse audiences.
- Strong interpersonal skills to collaborate effectively across teams and with stakeholders.
- Flexibility and problemsolving mindset to adjust plans in a dynamic environment.
Preferred Qualifications:
- Experience in financial services or working with Freddie Mac/Fannie Mae.
- Familiarity with risk management frameworks or practices in a financial context.
Benefits
8+ years in a Data Flux role with SAS Proficiency in SQL. Should have experience coding with Python Have experience working with UNIX Must have experience working with Agile teams and able to create business and technical user stories in Jira. Prefer resources who have Freddie Mac/Fannie Mae 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
Education
Bachelor s/Master s Degree or equivalent