Data Analyst

Job Type – Full-Time Location – Goregoan (work from the office)Designation: Data Analyst Salary : As per Company StandardExperience: 3 to 4 yearsWorking Days: 6 daysQualification: Graduation Working Hours: 8.5 hrsWorking Days – Monday To Saturday About the company:BCPL – BEAUTY CONCEPTS, established in 1996 is a member of the Bahety Group of Companies, one of Kolkata’s 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 & ResponsibilityKEY: 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 requiredData 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).

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