Senior Analytics Specialist
Date Posted: 25-Jan-2024 | Qualification: Graduation(Technical/DS/Analytics)
| Position: | Senior Analytics Specialist |
| Skills Required: | Python,SQL,R,Solving Business Problems,AI/ML,Data Analytics,Data Analysis,Reporting,Power BI,Tableau,Statistical Analysis, ML/ AI algorithms |
| Employment Type: | Full Time |
| Location: | Bengaluru |
| Job Mode: | Hybrid |
| Experience: | 3 - 6 (years) |
Job Description:
Job Description:
Senior Analytics Specialist will be part of the central data science team, working in a fast-paced environment aimed at creating high impact in close association with the business, product and tech teams. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in deploying data driven ML/AI solutions throughout the customer life cycle.
Roles and Responsibilities:
Gather data from different sources, including databases, spreadsheets, and external platforms. Develop and maintain data repositories or databases for easy access and retrieval.
Working with Business, Product. Data engineering & tech teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
Support the creation of regular and ad-hoc reports to track key performance indicators (KPIs) and metrics. Assist in summarizing and presenting analytical findings to stakeholders in a clear and concise manner. Contribute to the development and improvement of reporting processes and templates.
Processing large/ complex data sets to perform basic statistical analysis and data mining to identify trends, patterns, and correlations. Use various ML/ AI based techniques to product robust data driven solutions
Ability to negotiate with and influence workstream stakeholders on managing prioritization, scope, methodology and timelines of projects Along with pushing back on requirements aligned with Business/product
Showcase problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in view to the data insights.
Closely involved with the product life cycle working on ideation, ability to proactively identify gaps/opportunities in the product and business through the data and recommend improvements to achieve the business OKRs/Goals
Goes beyond just the questions asked with the domain/contextual knowledge to make it actionable and drive implementation of change
Develop compelling stories with business insights, focusing on strategic goals of the organization.
