Senior Analyst Data Analytics jobs in Noida at The Smart Cube

Senior Analyst – Data Analytics

Noida - India

Roles and responsibilities :

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/Organise/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, and be 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 conferences

Technical 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 advantage

Other Skills:

Superior problem-solving abilities and strong analytical thinking
Desire to work in a fast-paced, challenging environment where you need to push yourself all the time
Excellent communication skills, both written and verbal

Ideal Candidate:

2–4 years of relevant experience in Marketing Analytics/MR.
Experience in managing, cleaning and analysis of large data sets using statistical packages, such as SAS, R, and Python
Experience in data management using SQL queries on tools, including Access and SQL Server
Experience of handling small teams of 2–3 analysts
Experience in handling client calls and client management

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