Data Analyst

Business Brio; Kolkata District; On-site; INR 600,000 - 900,000; Full time

Job summary

Business Brio in Kolkata seeks a data analyst to work with senior executives, translate business needs into analytical requirements, and build reports and automated dashboards. The role involves data cleaning, merging sources, and defining KPIs while presenting insights to clients.

Ideal candidates have 12–24 months in analytics, strong Excel and BI skills (Tableau/Power BI), MySQL, and programming with R or Python, plus an undergrad degree in STEM or Economics.

Qualifications

• 12–24 months of full-time data analytics experience
• Fluent English communication, both written and spoken
• Ability to translate business requirements into technical specifications and reports

Responsibilities

• Interact with senior executives to understand business requirements
• Collate, analyze data and build reports/dashboards
• Define metrics/KPIs and suggest data improvements
• Data cleaning, preprocessing and integration from multiple sources
• Present insights clearly to non-technical clients

Skills

Excel

Tableau/Power BI

MySQL

Statistics

R/Python

Data Visualization

Education

Undergraduate degree (STEM or Economics)

Tools

MySQL Workbench

SQL Queries

R Shiny / Python Dash

Job description

The person should interact directly with senior-level business executives of the client organization and understand the business requirements, collate, understand, and analyze the data, and prepare/build reports / automated dashboards. The reports / automated dashboards will be a judicious and effective mix of numerical tables (including appropriate statistical measures) and visualizations through charts/diagrams. The representation might require (re)defining metrics / KPIs or suggestions to the client about inadequacies in the data if such is the case. It might also involve some amount of data cleaning / preprocessing and merging / integration from different sources.

Requisite Skills

Technical

• Advanced-Level skills with MS Excel, including basic statistical analysis and visualization, lookup, Pivoting, conditional formatting, etc. Some skill with macros and/or scripting is desirable.
• Working-Level skills with at least any one of Tableau or MS Power BI including statistical analysis, geospatial representation of data, and connecting to multiple data repositories (like RDBMS, CSV files, etc.). Must have skills in creating automated dashboards
• Working-level skills with MySQL (preferred, or other RDBMS) and writing SQL queries (select using primary and foreign keys, merge, joins, etc.) as well as some GUI front-end tools like MySQL Workbench or phpMyAdmin
• Working-level skills with at least one GUI-based or workflow-based statistical / analytics tools from the following: SPSS, Minitab, R Commander, KNIME, Altryx
• Working-level skills in BI reporting / statistical/mathematical / data science-related programming in either R or Python. Some basic-level skills in visualization/graphics libraries (like ggplot2, plotly, etc) and front-end app frameworks (like R Shiny and/or Python Dash) is desirable and will be preferred

Non-technical

• Fluent and excellent oral and written communication skills in English
• Work in cross-functional teams involving both technical and non-technical members and stakeholders
• Translating business requirements to technical requirements and explaining the outcome of technical analysis in an easily comprehensible manner to non-technical clients
• Self manage work planning and time management to complete tasks / projects on time with excellent quality

Work Experience

Between 12 and 24 months in a full-time data analyst/analytics position applying most of the skills as indicated above

Academic Qualification

Minimum undergraduate degree from a reputed university, preferably in STEM subjects or in Economics.

Selection Process

Personal interview with a strong emphasis on technical knowledge. It is highly desirable that the candidate is able to demonstrate some of his/her past work in the requisite skill areas.

Disclaimer

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