Job Description

We are seeking a highly skilled and detail-oriented

Data Analyst

to join our team. The Data Analyst will be responsible for collecting, processing, and analyzing data to provide actionable insights that support data-driven decision-making. This role requires a blend of analytical skills, technical expertise, and effective communication to translate complex data into meaningful recommendations.

Key Responsibilities:

Completing risk assessments for both clients and matters; Raising SAR and Cifas, Completing EDD and CDD Identifying high risk clients and escalating any issues to the Money Laundering Reporting Officer in the relevant office(s); Assisting with continually updating policies and procedures relating to new client/matter opening, anti-money laundering and counter-terrorist financing, and other compliance topics.
Handle and resolve customer and FOS-escalated complaints in accordance with company policies, procedural manuals, and FCA guidelines.

Contribute to root cause analysis of complaints and assist with required reporting.

Contribute to the development and implementation of efficient and effective complaint handling processes.

Work closely with the team to ensure timely and accurate recording, monitoring, and reporting of complaints.

Data Collection and Cleaning

Gather data from various sources, including databases, APIs, and external platforms.

Clean, validate, and organize datasets to ensure accuracy and integrity.

Data Analysis and Reporting

Analyze large datasets to identify trends, patterns, and actionable insights.

Develop and maintain dashboards, visualizations, and reports using tools like Tableau, Power BI, or Excel.

Statistical and Predictive Modeling

Apply statistical methods to forecast trends and measure performance.

Use machine learning algorithms and predictive modeling techniques where applicable.

Collaboration and Communication

Work closely with stakeholders to define data requirements and goals.

Present findings and insights to technical and non-technical audiences in a clear and concise manner.

Tool and Technology Utilization

Use SQL, Python, R, or similar tools for data manipulation and analysis.

Leverage cloud platforms like AWS, Google Cloud, or Azure for data storage and processing (if applicable).

Quality Assurance and Optimization

Monitor data quality and implement strategies for continuous improvement.

Optimize data workflows and processes for efficiency.

Qualifications

Bachelor's degree in computer science, Information Technology, Business Systems, or a related field.

Basic understanding of ERP systems (e.g., SAP, Oracle, Microsoft Dynamics, NetSuite).

Familiarity with databases, scripting languages, or system integration techniques.

Strong analytical skills with the ability to understand and map business processes.

Effective communication and teamwork abilities.

Preferred Skills

Knowledge of ERP modules such as Finance, HR, Supply Chain, or CRM. Experience with SQL or other database management systems. Understanding of cloud-based ERP platforms and their architecture. Exposure to Agile or Waterfall development methodologies.

Key Competencies

Attention to detail and high level of accuracy. Ability to work independently and as part of a team. Strong organizational and time-management skills. Adaptability to evolving data tools and techniques.

Benefits

Competitive salary and performance bonuses. Health, dental, and vision insurance. Professional development opportunities. Flexible working hours and remote work options.
Job Type: Full-time

Pay: 25,000.00-40,000.00 per year

Schedule:

Monday to Friday
Work Location: In person