Job Location: Bangalore/Bengaluru
Roles and Responsibilities:-
-Responsible for working on multiple hypothesis and problem statements with an objective to provide qualitative and quantitative insights
-Build Business models to support the team to take an effective decision on business strategy
-Responsible for Data modeling / RCA for projects across verticals – Data pulling & model Develop / Design effective and scalable solutions to build dashboards on reporting tools
-Responsible for publishing Management Dashboards
-Comfortable in assessing, transforming, and analyzing complex, high volume, high dimensional data from varying sources
– Excellent presentation and communication skills
– Comfortable in explaining technical topics to non-technical users
– Good client management skills with a solid grasp of both technical and business perspectives
– Strong hands-on experience with SQL, R, Phython, data warehousing, data modeling, dashboarding, and reporting, involving very large data sets and multiple data sources, with the ability to interpret data and produce significant insights
– Extensive experience doing funnel analysis, cohort analysis, customer journey analysis, A B tests, and readouts
– Experience automating analysis using analytics packages in languages like R or Python
– Demonstrable ability to work in a dynamic environment, and to meet changing deadlines and priorities on multiple simultaneous projects
– Enjoy working in both individual and team setting.
- KPI:
– Own and deliver the implementation of new methods for data visibility, monitoring, management, and automation of dashboards
– Build dashboards on spreadsheet / MSTR to track business health -This includes building the entire dataset and automate this in the backend; build the UI on the MSTR as per L0/L1 metrics visibility
In case the below requirement suits your profile then please fill in the details using the following link:-
https://forms.gle/xYuTSkmHxt3wCbvK9
Desired Candidate Profile:-
Must have – Bachelor’s/PG in Math, Statistics, Comp Sci, Engineering, Economics or other technical field required
Key competencies:
1. MS Excel
2. Business Analytics
3. Statistics (Basic)
4. Python/R/SQL (Good to have)
Software/Tools System Exposure:
1. Must Have : Excel, Google Spreadsheets
2. Good to Have : Power BI, Google Data Studio, Tableau, SQL
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