Analyst

The Analyst at Jnomics plays a crucial role in generating data-driven insights and supporting project teams to drive the best value for the client. This role requires a commitment to producing reliable, high-quality analysis, a strong knowledge of digital tools, and the ability to communicate complex information effectively. The ideal candidate is analytical, detail-oriented, and passionate about enhancing client value through innovative problem-solving and data visualisation.

Responsibilities

• Assisting project leads in developing needs assessments, strategies and capacity building activities for the clients
• Provide data-backed insights to support strategy development and client presentations.
• Contribute to brainstorming sessions by suggesting data-informed ideas and recommendations.
• Track and analyse the performance of digital content across platforms (e.g., social media, YouTube, websites).
• Identify patterns in content engagement, audience demographics, and reach.
• Report on content insights and recommend strategies for enhancing engagement and reach.
• Data gathering, analysis, and visualisation during the projects
• Trend analysis and forecasting: monitoring and analysing industry trends to provide clients with relevant market insights.
• Use historical data and predictive models to forecast future trends (market, financial, organisational)
• Prepare reports and briefings that highlight key trends and potential impacts for clients.
• Support client meetings by preparing and presenting data-driven insights tailored to client needs.
• Work with clients to define relevant Key Performance Indicators (KPIs) for measuring campaign or business success.
• Identify opportunities to streamline data analysis processes, reducing manual efforts and increasing efficiency.
• Implement automation tools where possible, such as scripting for data extraction or report generation.
• Conducting competitive analysis and market research
• Designing, building, and maintaining interactive dashboards for ongoing reporting and data visualisation.

Required Tools & Technical Skills

Tools:

• SQL: working with databases
• Python: modelling, data analysis and ML
• Alteryx or openRefine ( data cleaning, transformation and integration)
• Data Scraping tools
• Excel: Advanced proficiency, including financial modelling and data analysis.
• PowerPoint: Skilled in creating presentations that are both visually appealing and data-driven.
• Visualisation Tools: Familiarity with Flourish, Datawrapper, thinkCell, Figma, and Canva.
• Analytics Platforms: Knowledgeable in Google Analytics, social media analytics tools, and SEO analysis.

Skills

• Analytical and critical thinking: ability to interpret data, identify trends, and draw insights, hypothesis development, evaluating the reliability of data sources, and conducting root cause analysis
• Data Collection & Structuring: Proficient in gathering, organising, and structuring data for analysis.
• Data Analysis: Proficiency in quantitative analysis and familiarity with statistical techniques like regression, forecasting, and predictive modelling.
• Problem-Solving: Develop innovative approaches to data challenges and project goals. Ability to design and implement effective, data-backed solutions.
• Presentation Design: Expertise in creating and sketching effective presentation narratives.
• Data Scraping: Familiar with methods for collecting data from various sources.
• Market Research: Skilled in competitive analysis, trend forecasting, and market sizing.
• Financial Modelling: Able to analyse P&L, cash flow, and balance sheets.
• Time management: Efficiently managing multiple data sources, analyses, and deadlines.

Areas of Expertise

• Social Media: Skilled in analysing social media metrics and identifying actionable insights.
• Websites: Experience in website analytics, including traffic patterns and user behaviour.
• YouTube: Familiarity with video platform analytics, content performance, and audience insights.
• SEO: Proficient in SEO analysis and strategy, focusing on increasing online visibility.

Requirements

• Bachelor’s degree in Business, Media, Data Science, Economics, or a related field
• Proven analytical skills with experience using Excel, PowerPoint, and visualisation tools
• Strong problem-solving and communication skills, with the ability to present complex findings clearly
• Highly organised, detail-oriented, and able to manage multiple projects independently
• A collaborative mindset with a commitment to learning and continuous impr