The Data Analyst plays a key role in driving data-informed decision-making across the eCommerce and digital operations of the organization. This role is responsible for collecting, analysing, and interpreting data from various sources to optimize customer experience, support business growth, and improve operational efficiency. The analyst will deliver actionable insights through performance reporting, customer behaviour analysis, and A/B testing .
Accountability & Responsibilities of Role:
E-Commerce Strategy Development:
- Develop and implement a comprehensive eCommerce strategy to increase online traffic, conversion rates, and overall sales.
- Identify and explore new business opportunities, partnerships, and market trends to drive growth.
Platform Management:
- Oversee the daily operations of the eCommerce platform (website and app), ensuring it is functional, user-friendly, and aligned with the brand’s image.
- Work closely with the IT and development teams to manage updates, troubleshoot issues, and implement new features.
- Ensure website content is up to date and includes accurate product descriptions, visuals, and pricing.
Customer Experience:
- Optimize the user journey, from browsing to checkout, ensuring a smooth and engaging customer experience.
- Manage product reviews, feedback, and customer inquiries related to online purchases to improve satisfaction.
- Collaborate with customer service to address issues and improve post-purchase support.
Digital Marketing Integration:
- Coordinate with the Digital Marketing team to align e-commerce activities with broader online marketing campaigns (SEO, SEM, email marketing, social media, SMS marketing, etc.).
- Manage promotions and online sales campaigns, such as discount codes, flash sales, and holiday promotions, ensuring timely execution and tracking performance.
Data Analysis & Reporting:
- Analyze eCommerce performance metrics, including traffic, conversion rates, average order value, and customer retention.
- Prepare regular reports on sales performance and marketing campaign effectiveness, providing insights and recommendations to improve results.
- Use data to make informed decisions regarding inventory management, pricing strategies, and marketing efforts.
Budget Management:
- Develop and manage the eCommerce budget, ensuring cost-effective strategies are employed to maximize ROI.
- Oversee pricing strategies for online products, considering competitors and market demand.
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Vendor & Partnership Management:
- Manage relationships with third-party vendors, including logistics providers, payment gateways, and platform partners.
Negotiate and manage service level agreements (SLAs) with vendors and ensure their performance meets business standards.
Data Collection and Management:
- Gather, clean, and organize data from various sources, including CRM, website/App analytics, sales reports, and customer databases.
- Maintain and update data infrastructure to ensure accuracy and availability of information for analysis.
Data Analysis:
- Conduct a thorough analysis of eCommerce data to identify trends, patterns, and opportunities for growth.
- Utilize statistical methods and data visualization techniques to present findings clearly and promptly.
Performance Reporting:
- Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) such as sales, conversion rates, customer behaviour, and inventory levels.
- Prepare regular reports for stakeholders, highlighting insights and recommendations for improving eCommerce strategies.
Customer Insights:
- Analyse customer data to gain insights into purchasing behaviour, preferences, and demographics, supporting targeted marketing efforts and product development.
- Collaborate with marketing teams to optimize campaigns based on data insights and customer feedback.
A/B Testing and Experimentation:
- Design and analyse A/B tests to evaluate the effectiveness of different marketing strategies, App/website features, and product offerings.
- Provide recommendations based on test results to enhance user experience and drive conversion rates.
Collaboration:
- Work closely with cross-functional teams, including marketing, sales, and IT, to support data-driven initiatives and optimize eCommerce performance.
- Provide training and support to team members on data analysis tools and techniques.
Position Requirements:
Educational Background:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
Work Experience:
- 2–4 years of experience as a Data Analyst, preferably in eCommerce, retail, telecom, or digital marketing environments.
- Hands-on experience with data analysis tools (e.g., SQL, Excel, Python/R) and dashboarding platforms (e.g., Power BI, Tableau, Google Data Studio).
- Demonstrated ability to convert complex data into meaningful insights that inform decision-making
Key Competencies:
Shaping Strategy:
Ability to make sense of complex data, trends and dynamics on continually evolving basis, understand and anticipate the potential impact these may have, and use them to shape the direction of the business
Driving Change:
Recognizing and anticipating the need for change. Demonstrating openness, flexibility and support for change, aligning people to move in new and challenging directions. Dealing effectively with uncertainty, and adapting to new situations and ways of working while staying focused, organized and positive.
Networking & Influencing Collaboratively:
Developing rapport with a diverse range of people. Building and leveraging networks horizontally and vertically. Proactively influencing and persuading others to gain support for initiatives. Maintaining collaborative stakeholder relationships.
