The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.
This is a remote position.
Responsibilities:
- Prepares and analyses data. This can include locating, profiling, cleansing, extracting, mapping, importing, validating or modelling.
- Applies query, data exploration and transformation, basic statistical methods and visualization techniques to build business insights or improve data quality.
- Performs validation and testing to confirm the accuracy of the information built.
- Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives.
- Communicates valuable information so that it is easy to understand and influences others to act based on the useful information provided.
- Think strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process
- Work with Data engineers to supervise and help institutionalize models and dashboards for Analytics
- Slice and dice through the database and come up with actionable analytical insights
- Support other task as assigned (dashboard, reporting, governance of data using audits to identify gaps and opportunities)
Requirements
Skills:
- Proven experience in OTC domain
- Analytical aptitude - problem solving, quantitative
- Knowledge on retail and FMCG/CPG industry, exposure to CPG/Consumer data
- Analytical skills, problem solving ability and attention to detail
- Should have ability to handle large data sets in arriving at meaningful findings.
- Proficiency with Microsoft Office Suite
- Work in a dynamic and fast-paced environment without compromising the quality
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead product strategy and delivery for Mastercard's In Control virtual card platform. Translate business requirements into technical specs, work with engineering scrum teams, engage regional partners and customers, define platform vision for tokenized and virtual card payments, validate technical delivery, and drive go-to-market and product enhancements to grow B2B and T&E payment adoption.
Top Skills:
AgilePayment ProcessingPme FrameworkScrumTokenizationUx/UiVirtual Card Platform
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Support short-term (0-13 week) assembly and test execution planning by monitoring production plans, inventory, and delivery performance; analyze supply-demand mismatches, coordinate with supply chain and manufacturing, drive recovery actions, and support continuous improvement and project initiatives to improve planning outcomes.
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead sales enablement and end-to-end professional services for Mission Critical Networks (MCN). Act as single point of contact for commercial submissions, align integration and division of responsibility with SIs and partners, manage CoE systems and PoCs, develop E2E portfolio readiness, support CFRs on scope, timelines, and approvals, and provide early visibility of customer and SI requirements to inform roadmap and readiness.
Top Skills:
5GAutomationLteMission Critical Networks (Mcn)
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
