Insights Analyst

Roles and responsibilities

An Insights Analyst is responsible for analyzing data to uncover valuable insights that inform business decisions. This role is typically found in industries such as marketing, finance, consumer goods, or consulting, where understanding consumer behavior, market trends, and performance metrics is key to driving strategic decisions. Insights Analysts leverage data analysis, statistical techniques, and data visualization to transform raw data into actionable intelligence that helps organizations optimize operations, improve customer experience, and achieve business goals.

Here’s an overview of the key responsibilities, skills, and qualifications for an Insights Analyst:

1. Data Collection & Preparation

• Data Gathering: Collecting relevant data from internal and external sources such as customer surveys, sales data, website analytics, social media platforms, or third-party research.
• Data Cleaning & Transformation: Ensuring data accuracy and consistency by removing errors, duplicates, and outliers. Transforming raw data into a structured format suitable for analysis.
• Data Integration: Combining data from multiple sources and ensuring that it is aligned for cross-analysis (e.g., integrating sales data with customer feedback or website traffic).

2. Data Analysis

• Statistical Analysis: Using statistical techniques to analyze data, identify patterns, trends, and correlations. This could involve using software tools like Excel, R, Python, or SAS.
• Predictive Modeling: Applying statistical models or machine learning algorithms to forecast trends or predict future outcomes (e.g., sales forecasting, customer behavior predictions).
• Segmentation & Profiling: Analyzing data to segment customers or markets into groups based on behaviors, preferences, demographics, or other relevant characteristics.
• Trend Analysis: Identifying and analyzing emerging trends in the market, industry, or customer behavior that could impact business strategies.

3. Insights Generation

• Extracting Actionable Insights: Turning complex data findings into clear, actionable insights that can be used to drive business decisions and improve performance.
• Creating Reports: Preparing and presenting reports that summarize key findings, insights, and recommendations for stakeholders. This could include creating visualizations like charts, graphs, and dashboards to communicate insights effectively.
• Business Recommendations: Providing recommendations based on data analysis to improve processes, enhance customer experience, optimize marketing strategies, or support product development.

4. Data Visualization & Reporting

• Data Visualization: Using tools like Tableau, Power BI, Google Data Studio, or Excel to create dashboards and visual reports that make insights more accessible to business leaders and stakeholders.
• Stakeholder Communication: Communicating findings in a clear, concise, and compelling way to non-technical stakeholders, including executives, marketing teams, or product managers.
• KPI Tracking: Tracking and reporting on key performance indicators (KPIs) that align with business goals (e.g., customer satisfaction, revenue growth, conversion rates).

5. Collaboration & Cross-Functional Work

• Working with Teams: Collaborating with marketing, sales, product, and other business teams to understand their data needs and provide insights that support their objectives.
• Supporting Strategy: Providing data-driven insights to support decision-making in strategy development, marketing campaigns, or business process improvements.

Desired candidate profile

We are currently looking for a Senior BI Insights Analysts to join a newly established Data Analytics division, for a highly reputed financial services client in Dubai.

4 key areas of responsibility for the position

Reporting: Improving, controlling, and delivering business reporting and analysis.

Insights: Lead data analysis to uncover trends and actionable insights. Oversee development of reports and dashboards.

Technical skills needed

Hands on and overseeing; data analysis, reporting, data visualization, BI tools, incentive management and compensation. Bring experiences of how various areas of technology can influence, improve and drive performance through better data driven changes.

We are looking for someone who has experience managing a team of BI professionals and ideally extensive experience in Data Analytics within a banking or financial services environments. You should be able to portray a record of developing and implementing successful BI and analytic driven projects.