Data Analyst

Job Type Full-Time

Location Goregoan (work from the office)

Designation: Data Analyst

Salary : As per Company Standard

Experience: 3 to 4 years

Working Days: 6 days

Qualification: Graduation

Working Hours: 8.5 hrs

Working Days Monday To Saturday

About the company:

BCPL BEAUTY CONCEPTS, established in 1996 is a member of the Bahety Group of Companies, one of Kolkatas most trusted business houses. With a brand portfolio exceeding 45 leading international fragrances, beauty & cosmetics brands, BCPL is the preferred partner for international brands in the growing Indian Market. With over 30 years of customer understanding across Mass, Mass Premium, Fashion, Prestige & Luxury segments, BCPL provides its partners with a competitive edge in a challenging & emerging market like India.

Website:

Role & Responsibility

• KEY: Support data-related projects by identifying user needs, collecting data, perform data analysis & interpretation and visualization of both time series process data, and manufacturing/operational data. Report insights and help users to make decisions and find improvement opportunities.
• Extract data from data platforms (database, machines, and sensors), track, analyse and report Key Performance index (KPIs) & operational status. KPI may include but not limited to: Overall Equipment Efficiency (OEE), Energy Performance index and CO2 footprint, material track & trace, operator time tracking etc. Tools may include SEEQ, Python, SQL, and batch scripting.
• Perform data cleaning and data wrangling for analysis and analytics modelling.
• Support implementation of digital tier meeting dashboard through data automation and analysis solutions.
• Perform review of on digitalization project initiatives to ensure timely completion and value delivery.

Skills required

• Data management and analytic skills.
• Attention to details with good communication and presentation skills.
• Coherent and clear written and verbal skills.
• Organization and time management skills..
• Experience with technologies and data visualization tools such as Power BI or QlikView will be a strong plus. Proficient level with Microsoft Office (Microsoft Excel, Microsoft Word, Microsoft PowerPoint).