Data Analytics Manager

Roles and responsibilities

Key Responsibilities:

Team Leadership:

• Lead and manage the data analytics team, ensuring the timely and accurate delivery of reports and insights.
• Mentor and guide junior analysts, fostering a data-driven culture within the organization.
• Define team goals, performance metrics, and growth strategies.

Data Strategy & Architecture:

• Develop and execute a data strategy that aligns with the company’s broader business goals.
• Oversee the design, development, and maintenance of data infrastructure, including data warehouses, pipelines, and reporting systems.
• Ensure data governance, security, and integrity across all analytics operations.

Advanced Analytics:

• Utilize advanced analytical techniques such as predictive modeling, machine learning, and statistical analysis to generate actionable insights.
• Collaborate with business stakeholders to understand their data needs and translate them into technical solutions.
• Drive decision-making in key areas such as marketing, product development, customer retention, and financial planning.

Business Intelligence & Reporting:

• Lead the development of interactive dashboards, reports, and data visualizations that provide stakeholders with real-time insights into business performance.
• Standardize reporting processes and ensure consistent, reliable metrics across the organization.
• Collaborate with cross-functional teams (e.g., marketing, finance, operations) to ensure alignment between data outputs and business objectives.

Data-Driven Decision Making:

• Partner with department leaders to identify opportunities for leveraging data to drive business solutions.
• Analyze key metrics, trends, and market data to help inform strategic initiatives.
• Deliver clear, data-backed presentations and reports to senior management, including forecasts, performance analyses, and data-driven recommendations.

Desired candidate profile

• Identify areas of inefficiency across the business and provide data-driven recommendations to streamline operations and improve performance.
• Lead efforts to automate manual reporting processes and reduce time-to-insight for the organization.

Qualifications & Experience:

Education:

• Bachelor’s or master’s degree in data science, Computer Science, Mathematics, Statistics, Economics, or a related field.

Experience:

• 5+ years of experience in data analytics, business intelligence, or a related field.
• Proven experience in managing a data analytics team, including hiring, mentoring, and performance management.
• Strong background in data strategy, data architecture, and analytics infrastructure design.

Technical Skills:

• Proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Power BI).
• Strong understanding of data warehousing concepts and experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience with machine learning techniques and predictive modeling is a plus.
• Knowledge of ETL processes and data pipeline architecture.

Soft Skills:

• Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.
• Strong leadership and project management skills, with the ability to manage multiple projects simultaneously.
• Strategic thinking with a focus on problem-solving and process improvement.

Preferred Qualifications:

• Experience in FinTech or financial services industry.
• Familiarity with regulatory requirements related to financial data privacy and security (e.g., GDPR, PCI-DSS, PSD2).
• Prior experience with financial modeling, risk analytics, credit scoring, or customer segmentation in a financial context.
• Experience working with payment systems, digital banking platforms, or blockchain technologies.
• Knowledge of fraud detection, anti-money laundering (AML) analytics, and compliance reporting.
• Experience working in an agile environment.