Data Analyst

Company Overview:

• Gather, clean, and analyze data from multiple sources, including web analytics, transactional databases, and marketing platforms
• Interpret large datasets to identify trends, patterns, and actionable insights that inform business decisions and strategies.

Performance Monitoring

• Track and monitor key performance indicators (KPIs) such as conversion rates, revenue, customer acquisition cost, average order value, and customer lifetime value.
• Analyze sales data to assess business performance and customer trends.

Data Analysis & Insight Generation

• Analyze large datasets to identify trends, patterns, and opportunities related to customer behavior, order frequency, popular product categories, and operational efficiency.
• Conduct ad hoc analyses to support business decisions and strategic initiatives, including pricing, inventory optimization, and supply chain improvements.
• Generate regular reports and dashboards to communicate findings, trends, and recommendations to stakeholders, including marketing, product, and leadership teams.
• Present insights in a clear, actionable manner using data visualization tools (e.g., Power BI, Tableau).

4.

• Monitor real-time data to track demand, inventory levels, pricing, and delivery times, enabling rapid response to market changes and optimizing customer experience.
• Benchmark company performance against competitors by analyzing pricing, product availability, delivery efficiency, and customer reviews to inform business strategy.
• Stay updated with the latest trends in data analytics, quick commerce, and relevant technologies to enhance analytical capabilities and business impact.

Stakeholder Collaboration

• Partner with business stakeholders, product managers, and operations teams to understand analytical needs, propose data-driven solutions, and communicate actionable insights clearly.
• Support cross-functional projects and facilitate the adoption of global data solutions.

Communication & Presentation

• Present findings and recommendations to stakeholders through reports, visualizations, and presentations, ensuring insights are actionable and aligned with business goals.
• These responsibilities enable a data analyst in a quick commerce team to drive operational efficiency, enhance customer satisfaction, and support data-driven decision-making in a fast-paced, competitive environment.
• 7.

  Collaboration and Support

• Work closely with cross-functional teams (marketing, product, sales, web development) to support e-commerce strategies and business objectives.
• Provide ad-hoc analysis and support for special projects or initiatives.

Qualifications and Skills:

• Education: Bachelor's degree or equivalent in Business Administration, or a related field. MBA is a plus.
• Quick commerce experience is a plus.

Skills:

• Excel (Advanced Level) -

  Pivot Tables, VLOOKUP, Index-Match, Conditional Formatting, Dashboards.

• SQL (Structured Query Language) -

  Data extraction, writing queries, joins, aggregations, filtering.

• Data Visualization Tools -

  Power BI / Tableau / Google Data Studio and building interactive dashboards, charts, and reports.

• Data Cleaning and Preprocessing -

  Identifying anomalies, handling missing data,and outlier detection.

• Problem Solving & Business Acumen -

  Translating business questions into data queries and a basic understanding of business KPIs.

• Reporting and Dashboarding -

  Building automated and easy-to-read reports.

• Communication Skills -

  Ability to present insights in a non-technical way, along with strong documentation practices.

• Attention to Detail -

  Accuracy in data extraction, analysis, and reporting.

• Collaboration -

  Working closely with cross-functional teams like marketing, sales, product, and tech.

Why Sid's Farm Farm?