Data Analyst - Financial Services

Placements24; Polokwane; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Fully remote

Medical and retirement benefits

Access to data analysis tools

Collaborative team culture

Job summary

Placements24 is seeking a talented Data Analyst to transform complex datasets into actionable insights for financial services. The role is fully remote, collaborating with stakeholders to collect, clean, and analyze data, and to build dashboards.

You will use SQL, Power BI, Tableau, and statistical tools (R, Python) to forecast trends and support strategic decisions. Requires a Bachelor's in a quantitative field and 2+ years of experience in data analysis within finance.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• 2+ years of experience as a Data Analyst or in a similar role, preferably within financial services.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (Power BI, Tableau) and statistical software (R, Python).
• Strong analytical, problem-solving, and critical thinking skills.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Power BI, Tableau).
• Create statistical models and perform predictive analytics to forecast trends and outcomes.
• Collaborate with business units to understand data requirements and provide analytical support.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.

Skills

SQL

Power BI

Tableau

R

Python

Analytical thinking

Problem solving

Education

Bachelor's degree in a data-related field

Tools

Python

Power BI

Tableau

Job description

About the Role

Our client is seeking a talented and analytical Data Analyst to join their growing team, focusing on leveraging data to drive insights within the financial services sector . In this fully remote role, you will be responsible for collecting, cleaning, analyzing, and visualizing complex datasets to support business decisions and identify key trends. You will collaborate closely with stakeholders across various departments to understand their data needs and translate them into actionable insights. This is an exciting opportunity for a data-driven individual to contribute to strategic initiatives and shape the future of financial operations through data interpretation.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Power BI, Tableau).
• Create statistical models and perform predictive analytics to forecast trends and outcomes.
• Collaborate with business units to understand data requirements and provide analytical support.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• 2+ years of experience as a Data Analyst or in a similar role, preferably within financial services.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Power BI, Tableau) and statistical software (e.g., R, Python).
• Strong analytical, problem-solving, and critical thinking skills.

Benefits

• Competitive salary and potential for performance bonuses.
• Comprehensive medical and retirement benefits.
• Fully remote work environment, offering unparalleled flexibility and autonomy.
• Access to cutting-edge data analysis tools and technologies.
• A supportive and collaborative team culture focused on innovation and data-driven decision-making.