Senior Data Analyst

About OnlineSales.ai

Built by ex-Amazon ad-tech experts, OnlineSales.ai offers a future-proof Retail Media Operating System - boosting Retailer’s profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune India. With OnlineSales.ai's platform, retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS. Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with OnlineSales.ai and are innovating ahead of the market by at least 2 years.

About the Role

We are seeking a talented and motivated individual to join our team as a Senior Data Analyst who will be responsible for extracting insights from complex datasets to drive informed decision-making and enhance business performance. You will collaborate closely with cross-functional teams to identify key metrics, develop data-driven strategies, and provide actionable recommendations. Additional responsibilities may include managing daily regulatory reporting tasks and remediation activities, as well as process improvement.

What will you do @OnlineSales?

• Data Analysis: Utilize advanced analytical techniques to explore large datasets, identify trends, patterns, and anomalies, and extract actionable insights.
• Data Visualization: Create visually compelling dashboards and reports to communicate findings effectively to stakeholders, enabling them to make informed decisions.
• Data Extraction: regular extraction of relevant data from internal databases using SQL queries. Design and optimize SQL queries to retrieve specific datasets required for performance analysis and reporting
• Issue Identification: Proactively identify performance-related issues by monitoring key performance indicators (KPIs), analyzing trends, and investigating anomalies reported by internal stakeholders or external clients.
• Addressing Client Exceptions and Issues: Responsively address performance-related exceptions and issues raised by clients, ensuring timely resolution and effective communication throughout the process. Collaborate with client-facing teams to understand client requirements, prioritize tasks, and deliver solutions that meet or exceed client expectations.
• Root Cause Analysis: Dive deep into data to understand the root causes of performance issues, considering factors such as system architecture, infrastructure, code efficiency, and user behavior.
• Hypothesis Testing: Apply hypothesis testing techniques to validate assumptions and identify statistically significant factors impacting performance.
• Documentation and SOP Creation: Create clear and detailed Standard Operating Procedures (SOPs) outlining the process for diagnosing, troubleshooting, and resolving performance issues. Ensure that documentation is organized, easily accessible, and regularly updated to reflect changes in systems, processes, or configurations.
• Cross-Functional Collaboration: Collaborate with teams across the organization, including business development, marketing, product development and operations, to understand their data needs and provide analytical support

You will be a great fit, if you have:

• 2-4 years of relevant experience.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Proficiency in SQL for data extraction and manipulation from relational databases.
• Familiarity with programming languages such as Python for Data Analysis and Data modeling is a plus.
• Strong analytical skills with the ability to interpret complex datasets and draw meaningful insights.
• Strong problem-solving abilities with a proactive approach to troubleshooting and issue resolution.
• Advanced proficiency in Excel and adept data manipulation skills for efficient analysis and visualization of large datasets.
• Effective communication and interpersonal skills for collaboration with cross-functional teams and stakeholders.
• Understanding of E-Commerce as a domain.
• Excellent documentation skills with the ability to create clear and comprehensive reports and SOPs.
• Attention to detail and commitment to data accuracy and quality. Willingness to work for a startup.

Why Online Sales.ai?

• Startup-y. We believe Startup is a mindset. It’s about being scrappy, being nimble, solving tough problems with constrained resources, and more. It’s about working hard and playing hard
• Enterprise SaaS. Opportunity to work with an Enterprise Product SaaS firm with aspirations of growing 10x across the globe
• AI-led Retail Tech. We are working to digitize & democratize one of the most exciting and growing verticals - Retail Tech leveraging data, machine learning, and automation (culmination of ad-tech, mar-tech, and analytics for Retail vertical)
• Meaningful work. This is not just a job. You can find a job anywhere. This is a place for the bold to get paid who make a real impact on business
• No red tape. Say goodbye to pointless meetings or political hoops to jump through. We’re scrappy, believe in autonomy, and empower our teams to do whatever it takes to do the unthinkable
• Problem Solving. We ignite the best in you. We exist not only to deliver meaningful innovation but to ignite and inspire the creative problem-solver in you
• Quirky & fun. Enjoy new skills and hobbies like being a quiz master, playing board games, trying your hands on percussion, playing Djembe, and spreading love within the org!