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
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Senior Manager, Workforce Development leads workforce strategy, ensuring timely training and certification for production readiness and compliance. Key responsibilities include managing training programs, certification frameworks, and collaborating with cross-functional teams to execute effective workforce planning and ramp-up strategies.
Top Skills:
SAP
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Manage 3–5 existing enterprise accounts and 5–8 prospects (15 total) using a land-and-expand approach. Drive new-logo acquisition, upsell/cross-sell, develop territory plans, engage C-level stakeholders, coordinate with sales engineering, marketing, legal and finance, run demos and events, and ensure successful customer implementations.
Top Skills:
AWSDavis Hypermodal AiDynatraceGCPMeddpicMicrosoftObservability
Big Data • Marketing Tech • Sales • Software • Analytics • Big Data Analytics
The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.
Top Skills:
AWSDatabricksGCPMlflowPythonScikit-LearnSQLXgboost
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.
