Über die RolleThis position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, 1099 or employment sponsorship (e.g. H1-B) for this position.
FDM is seeking a
Sr. Data Analyst located in
St. Petersburg/Tampa to support a project in the
Financial Services sector. Involvement in this project is anticipated to last initially
1 year, but may be extended.
This role will be
hybrid with requirements to be in office
3 days per week.
Das bringst du mitSeeking a Senior Analyst with strong analytical, technical, and communication skills to support Risk Management through data, reporting, and analytics. This role is critical in understanding front-line processes, analyzing and transforming data, developing reporting and visualization solutions, and collaborating with IT to integrate data across multiple departments. Under limited supervision, you will collaborate and play a key role in shaping the firm's risk information and analytics capabilities. This position requires exceptional analytical ability, attention to detail, and hands-on experience with data and business intelligence tools.
Essential Duties and Responsibilities- Advance data, reporting, and analytics capabilities for Risk Management, ensuring deliverables meet business needs, enterprise standards, and regulatory expectations.
- Develop and maintain reporting, dashboarding, and analytical solutions using approved data and business intelligence tools.
- Extract, transform, reconcile, and analyze data from multiple source systems to support risk measurement and decision-making.
- Collaborate with business stakeholders and IT delivery teams to translate business needs into data requirements, analytical logic, and reporting solutions.
- Identify opportunities for process optimization and automation within assigned workflows.
- Translate technical and analytical findings into clear, compelling narratives through dashboards, presentations, and executive summaries.
- Manage multiple priorities and deadlines using effective project management and time-tracking practices.
Knowledge of:- Risk Management principles and practices, including market, credit, and liquidity risk.
- Agile methodologies and iterative delivery environments.
- Analytical and business intelligence tools and platforms, including SQL, Python, Excel, Tableau, and Qlik.
- Data preparation, cleansing, reconciliation, validation, and basic data modeling concepts.
Skill in:- Extracting, manipulating, transforming, and analyzing data from multiple source systems using SQL, Python, Excel, Tableau, and Qlik.
- Developing dashboards, reports, visualizations, and analytical outputs.
- Reconciling and validating data to ensure accurate and consistent results.
- Translating business and risk objectives into data requirements, analytical logic, reporting specifications, and technical documentation.
- Communicating technical insights effectively through presentations and visual storytelling.
Ability to:- Hand write SQL (required) and Python (preferred)
- Collaborate with business partners to understand their processes and translate them into data, reporting, and analytical solutions.
- Analyze complex datasets, identify patterns or anomalies, and develop actionable insights.
- Develop and maintain queries, scripts, technical documentation, and instructions.
- Adapt quickly to evolving needs and deliver concise, actionable insights under tight timelines.
- Work independently and prioritize and manage multiple tasks.
- Build and maintain productive relationships with internal and external stakeholders.
- Develop and justify data-driven recommendations that consider constraints and potential outcomes.
Education/Previous Experience- Bachelor's Degree and a minimum of three (3) years of relevant experience in financial services, data analytics, business intelligence, or a related field.
- OR
- Any equivalent combination of education, training and/or experience approved by Human Resources.
EducationBachelor's: Business Administration, Bachelor's: Computer and Information Science, Bachelor's: Finance
Work ExperienceGeneral Experience - 3 to 6 years
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