Muhammad Farras Rizki

Muhammad Farras Rizki

Performance Analyst Supervisor @ PT Sari Husada

About

Data Analyst experienced in Retail and FMCG. Strong in Excel, Python, and Power BI to build dashboards, automate reports, and deliver reliable insights. Known for explaining data clearly to non-technical stakeholders. Active share knowledge as an Excel mentor and create practical Excel cheat sheets.

Country

Indonesia

City

Yogyakarta

Industry

Transportation/Trucking/Railroad

Skill

Business Understanding, Extract, Transform, Load (ETL), Microsoft Power BI, Project Management, Inventory Management, Inventory Control, Business Analysis, Computer Science, Data Warehousing, Relational Databases, Presentations, Oral Communication, Decision-Making, Data Modeling, Spreadsheets, Databases, Visual Basic for Applications (VBA), Vlookup, Visual Analytics, Dashboard

Experience

PT Sari Husada

Performance Analyst Supervisor

PT Sari Husada

LinkedIn
2024-5 - Present · 2 yrs 5 mos

Klaten

• Analyze high-volume distribution and product movement data (100,000+ units/month) to identify performance patterns and gaps, and deliver actionable insights to improve product flow and availability. • Generate and maintain Power BI performance dashboards to monitor distribution, product, and stock KPIs, and speed up reporting turnaround for management reviews. • Segment 200+ SKUs into fast/medium/slow movers to sharpen product prioritization and support datadriven inventory and distribution strategies, improving execution focus and overall distribution efficiency. • Lead cross-functional collaboration with Operations and Support team to convert insights into practical recommendations, support performance reviews, and drive corrective actions.

Margaria Group

Data Analyst

Margaria Group

LinkedIn
2023-2 - 2024-5 · 1 yr 4 mos

Yogyakarta, Indonesia

• Generate sales reports on Excel and Looker Dashboard to analyze product performance and trends. Increase sales by 4.64% in 2023 and provide product trend recommendations. • Create inventory reports to monitor store inventory. Create month covers ideal product to adjust the composition of store product inventory with sales, and helping to monitor under or over stock. • Analyze and evaluate the performance of promos, events and moodboard. Provide evaluation and recommendations for promos and events. • Lead project and collaborate with other divisions in developing SKU Project. Generate SKU generation system and assist implementation in ordering, producing, and selling items using SKU

id/x partners

Data Scientist

id/x partners

LinkedIn
2022-12 - 2023-1 · 2 mos

Jakarta, Indonesia

• Analyze and providing technological solutions for customer company problem • Build machine learning model to predict the credit risk customers of lending company, the model can predict 68% of customer who actually got credit risk

TP

Social Media Content Moderator

TP

LinkedIn
2021-2 - 2022-6 · 1 yr 5 mos

Yogyakarta, Daerah Istimewa Yogyakarta, Indonesia

• Evaluation of online content in accordance with client policy • Capable of achieving a work productivity goal of 1500 cases in 7 working hours • Chosen as 'Best Agent of Month' 2 times (April 2021 and April 2022) • Proficient in research and detail-oriented

PT Amarta Karya (Persero)

Quality Control Intern

PT Amarta Karya (Persero)

LinkedIn
2019-6 - 2019-9 · 4 mos

Jakarta Timur, Jakarta, Indonesia

Assigned to assist the core quality control team's work include : • Calculate the volume of structural work (reinforcement steel, concrete and formwork) • Conduct foundation pile inspections using the Bore Pile method. • Inspect the installation of columns, beams, and other reinforcing work. • Conduct quality assurance tests on the materials utilized.

Education

Universitas Islam Indonesia

Universitas Islam Indonesia

LinkedIn

Business, Management, Marketing, and Related Support Services

2025-1 - 2027-2 · 2 yrs 2 mos
Dibimbing

Dibimbing

LinkedIn

Data Science

2022-7 - 2022-12 · 6 mos

• Learned programming languages such as Python and SQL, for 6 months in an intensive bootcamp. • Creating machine learning to detect customer interest in using loans at banks, increasing the campaign success ratio to 90%. • Processing big data using SQL to provide answers and recommendations for business needs • Creating an interactive dashboard that can display sales report data to make it easier to read big data

Muhammadiyah University of Surakarta

Muhammadiyah University of Surakarta

LinkedIn

Civil Engineering

2016-7 - 2020-9 · 4 yrs 3 mos

Graduated from an A-rated institution and study program with a 3.49 GPA. Active participant in a variety of university organization, including the Civil Engineering Student Association UMS and English Tutors.

Muhammad Farras Rizki's Contact Information

Email

******@***.com

Phone

(**) *** ****

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