Data Analyst
Job Description
<strong>About Invygo</strong><p><br></p>Founded in 2018 and headquartered in Dubai, invygo aims at simplifying the process of getting a car. With the success of our expansion to Saudi Arabia in 2021, we have continued to grow our operations.<p><br></p>Being the first car subscription app of its kind in the region, we have a proven track record and an in-depth understanding of our customers’ mobility needs.<p><br></p>Our app enables customers to own or subscribe to a car on a monthly basis without any hassle. Customers can commit for a minimum of 1 month with our monthly plans or 36 months with our Subscribe to Own service.<p><br></p>invygo’s car subscription service is different from renting or buying a car. We offer the best of both worlds. Unlike renting, we don’t require our customers to make a large deposit upfront. They can also choose the exact car model and features they want through our app, a benefit that rental companies don’t offer. Buying a car comes with high up-front and maintenance costs, long-term commitment, registration and insurance charges. With invygo’s Subscribe to Own plans, our customers pay an all-inclusive fee monthly without the additional paperwork and cost.<p><br></p>At invygo, we empower our customers to access a car with no deposit or down payment, no long-term commitment, and the option to cancel their monthly subscription plans at any time through our seamless digital platform.<p><br></p><strong>What will you be doing?</strong><p><br></p><ul><li>Conduct thorough data analysis and interpretation to extract valuable insights and drive informed business decisions. </li><li>Collaborate with cross-functional teams, including stakeholders, business leaders, and data engineers, to understand business requirements and translate them into data analysis solutions. </li><li>Design and develop data models, dashboards, and reports to visualize and communicate complex data findings effectively. </li><li>Identify and define key performance indicators (KPIs) and metrics to measure business performance and track progress towards organizational goals. </li><li>Gather, clean, and validate data from various sources, ensuring data quality and integrity. </li><li>Perform statistical analysis, predictive modeling, and data mining techniques to identify patterns, trends, and opportunities. </li><li>Provide actionable recommendations based on data insights to drive process improvements, optimize operations, and enhance overall business performance. </li><li>Collaborate with IT teams to ensure data availability, accuracy, and security, while adhering to relevant data governance policies and regulations. </li><li>Stay updated with the latest industry trends, tools, and techniques in data analysis, and apply them to enhance analytical capabilities and drive innovation. </li><li>Communicate findings, insights, and recommendations to both technical and non-technical stakeholders through presentations, reports, and visualizations. </li></ul><p><br></p><strong>Requirements</strong><p><br></p><ul><li>Proven experience as a Business Analyst, Data Analyst, Product Analyst or similar role, with a strong focus on data analysis and visualization. </li><li>Proficient in data analysis tools such as SQL, Python, R, or similar programming languages. </li><li>Experience with data visualization tools such as Tableau, Power BI, or QlikView. </li><li>Strong analytical and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions. </li><li>Familiarity with statistical analysis, predictive modeling, and data mining techniques. </li><li>Excellent communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. </li><li>Ability to work independently and collaboratively in a fast-paced environment. </li><li>Comfortable working in a scaling startup</li></ul><p><br></p><strong>Interview Process</strong><p><br></p>1 – 15 minute introductory call with a member of invygo’s talent team<p><br></p>2 – Take-home online assessment<p><br></p>3 – Technical Q&A with Chief Data Officer<p><br></p>4 – 30 minute cultural interview with 2 senior stakeholders
