Data Analyst
The Smart Cube
Noida, India
3d ago
source : Cutshort

¢ Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies ¢ Understand the client objectives, and work with the PL to design the analytical solution / framework.

Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints ¢ Collect / Organize / Prepare / Manage data for the analysis and conduct quality checks ¢ Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc.

to identify key actionable insights from the data ¢ Develop complete sections of final client report in Power Point.

Identify trends and evaluate insights in terms of logic and reasoning, andbe able to succinctly present them in terms of an executive summary / taglines ¢ Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output ¢ Aid in decision making related to client management, and also be able to take client calls relatively independently ¢ Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members ¢ Discuss queries / certain sections of deliverable report over client calls or video conferencesTechnical Skills : ¢ Hands on experience of one or more statistical tools such as SAS, R and Python ¢ Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantageWork Experience : ¢ 2-4 years of relevant experience in Marketing Analytics / MR.

¢ Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc.

¢ Experience in data management using SQL queries on tools like Access / SQL Server Skills : - Python, R Programming, Advanced analytics and Marketing analytics

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